The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase, and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that various teams at Movies Anywhere (including product, marketing, finance, strategy) can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have influence in the future direction of the product.
Responsibilities :
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications :
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications :
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
Jul 14, 2019
Full-time
The Direct-to-Consumer International (DTCI) segment of The Walt Disney Company is seeking a Business Intelligence Analyst with a strong business acumen and the technical skills necessary to uncover and present insights to various business stakeholders at Movies Anywhere (MA). This position will report to the Manager of Analytics for Movies Anywhere. Movies Anywhere is a cloud-based digital movie service. This app for iOS, Android, Web, and 10-foot devices (Apple TV, Roku, etc.) enables consumers to discover, purchase, and watch movies from participating studios (Disney, Fox, Sony, Warner Bros., Universal) using a single service, regardless of the online retailer used to purchase those movies. The Business Intelligence Analyst will use customer attributes, purchase transaction data, and event-level data from the Movies Anywhere apps to build dashboards, perform ad-hoc analyses, and generate insights that various teams at Movies Anywhere (including product, marketing, finance, strategy) can use to make better business decisions. Members of the analytics team at Movies Anywhere are expected to become experts in how consumers interact with the app and what product and marketing experiences will increase engagement, retention, and lead to increased returns to the participating studios. This role will have influence in the future direction of the product.
Responsibilities :
Analyze customer cohorts to design maps of the customer journeys both inside and outside the product
Develop a deep understanding of engagement and retention drivers by cohort and provide insight on which product features are most effective in increasing retention and engagement
Uncover and recommend product improvement opportunities that would lead to increased purchase behavior (both inside and outside the app)
Help define metrics/KPIs for new product features and build automated dashboards that can display those KPIs for internal stakeholders
Help ideate and analyze A/B testing experiments to grow the MA user base and increase the number of core and engaged users
Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful – not just delivering what was asked for!
Basic Qualifications :
Powerful SQL skills – almost all of the data we work with is accessible in our Amazon Athena SQL environment. We use JOINs, conditional aggregations (SUM(CASE WHEN), etc.) almost every day to combine our users and the performance of product features and marketing campaigns.
Business acumen – ultimately, the analyses we perform need to lead to insights and business decisions. It’s not enough to be able to “pull data” and create reports and dashboards that others have requested; our team needs to combine product and consumer expertise with a sense of the bigger picture (general business landscape in which MA operates) to help influence and drive marketing and product decisions.
Initiative – if you have something you want to learn about or think will make an impact, you will not only have the freedom to explore, but also you will be expected to do so.
Ability to work independently – we understand that it will take some for you to become familiar with the product, our users, and our data, so you can expect to receive ample guidance and direction when you start. Over time, as you become an expert in our business, you will be asked to provide forecasts and recommendations that you will need to build/develop independently.
Communication skills – some of the analyses we do are quite technical, but they need to be communicated to executive teams, both internal to MA and to studio leadership teams
Problem-solving ability – Our stakeholders don’t always know the right question to ask, so we often have to figure out what the real question or desired outcome before conducting an analysis
Data visualization skills (Tableau) – Putting together visualizations that update automatically allows our team to only need to do something once, rather than on a daily/weekly/monthly basis. This role needs to be able to turn the results of a complicated SQL query into something that a non-technical person can easily understand.
Preferred Qualifications :
Experience analyzing a digital product and its users – it’s what we do every day, so any examples you have that demonstrate the value you can bring to a digital product will make you a stronger candidate.
Data manipulation skills using Python/R – sometimes we need to do analyses that SQL/Excel can’t handle, so a nice-to-have is being able to work with data using Python (Pandas) or R.
The Opportunity
Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.
Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes.
If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you.
About the course:
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.
As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers.
Your responsibilities:
As a mentor, you will:
Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project
Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world
Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
Meet with each of your students for 30 minutes each week via a video call
Benefits:
As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.
What we're looking for:
You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling.
You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries.
You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on
You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging
As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Jul 12, 2019
Part-time
The Opportunity
Springboard runs an online, self-paced, Machine Learning Engineering Career Track in which participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.
Our mentor community - the biggest strength of our programs - comprises experts from the best organizations in the world. Our mentors range from engineers and researchers at premier companies (Netflix, Pandora, LinkedIn, Apple) to a wide variety of top-notch startups and research institutes.
If you are as passionate about mentoring as you are about machine learning, and can give a few hours per week in return for an honorarium, we would love to hear from you.
About the course:
We’re looking for mentors for our Machine Learning Engineering Career Track course. This 6-month course is primarily designed for Software Engineers who want to become Machine Learning Engineers.
As part of the course, students go through an intensive curriculum that’s based on the way real-world applications are created. They start with data collection and wrangling, work their way through data exploration, followed by a deep dive into Machine Learning and Deep Learning, covering various techniques and architectures. Finally, they learn to use various engineering tools to productize, scale and deploy applications. Throughout the course, they work on a Capstone Project whose ultimate goal is not just to solve a problem using ML/DL, but to create an actual running application that they can showcase to potential employers.
Your responsibilities:
As a mentor, you will:
Guide students through technical challenges they face and questions they have about the curriculum, assignments or Capstone Project
Provide structured, constructive feedback on their assignments, Capstone Project and portfolio to help them build the skills and confidence to succeed both in job interviews as well as in the real world
Bring your real-world experience and knowledge into your mentoring to show students how the concepts they’re learning are applied in real life
Meet with each of your students for 30 minutes each week via a video call
Benefits:
As part of being a Springboard mentor, you get to directly change the lives of people who are following in your footsteps into Data Science, which is a highly rewarding and meaningful contribution for many of our mentors. In addition, you’ll receive the following benefits:
Access to our mentor community. We are really proud of our mentor community, a network of Data Scientists and Machine Learning Engineers at top companies around the world (Netflix, Pandora, LinkedIn, Apple and so on). Our mentors help each other take their careers to the next level.
Training and feedback on mentoring. Our Mentor Operations team will help you become a better mentor, both via training during onboarding, as well as by providing regular, specific feedback. Our mentors find this training highly valuable as they move up to leadership roles at their industry jobs
Flexibility. You get to work on your own time, from anywhere in the world and work with as many students as your schedule permits.
Honorarium. Mentorship is a paid role, and you get an honorarium per student you work with.
What we're looking for:
You’re comfortable in the entire lifecycle of building a Machine Learning application, from data collection and building models to deployment and scaling.
You are an experienced software engineer using Python and all of the Data stack i.e. scikit-learn, pandas, numpy/scipy, TensorFlow, Keras and other common Python libraries.
You have deep expertise and real-world experience in a wide variety of Machine Learning and Deep Learning models, including linear/logistic regression, tree-based models, RNNs, CNNs and so on
You have a strong understanding of software engineering best practices, including version control, testing, monitoring and debugging
As a mentor, you are empathetic and have excellent communication skills, especially when providing constructive feedback
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications :
Experience in the streaming media industry or other subscription-based service
Python, Scala or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Jul 05, 2019
Full-time
The Marketing Analytics team is tasked with providing data support to marketing operations teams with a mission to drive new subscriber growth. The Sr. Manager, Data Analytics will play a critical analytics role in supporting media channels including Paid Search, Display, Social, Video, Audio and Affiliate. This individual will analyze complex data from both internal and external sources to help identify opportunities, inform media buying, optimize conversion funnels and ensure media dollars are optimally invested. The ideal candidate has a passion for the digital media landscape and understands the intricacies and unique attributes of every step in the marketing funnel.
Responsibilities :
Support Paid Digital marketing team (Social, Display, Paid Search, Audio, Video and affiliate channels) to optimize channel performance, understand analytics needs and set roadmaps for analytics work
Develop and maintain key analyses around our marketing funnel, build automated reporting and present results to the broader organization
Monitor and analyze performance data across channels, tactics, partners and individual ad networks to ensure budget is optimized
Mine internal user and response data to develop targeting models, decision rules and response forecasting
Develop test and learn strategies related to targeting, creatives and other variables to improve end-to-end conversion throughout the funnel
Manage user acquisition data tracking integrations both internally and with third parties
Basic Qualifications :
7+ years of experience within digital marketing and advanced data analytics
Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
Expertise in digital media, web analytics and in-app systems including ad serving, tracking and reporting tools including DoubleClick, DART, Adobe Analytics, Kochava, Flashtalking, media platforms (DBM, Google Search, Adwords, Facebook, etc.) and DMP solutions (BlueKai, Salesforce, etc.)
Deep understanding of the underlying technology and algorithms behind each of our partner ad networks/platforms and how to optimize results
Excellent understanding of media fundamentals and industry knowledge, including media metrics and quantitative business measures
Strong understanding of measurement and attribution
Expertise manipulating large data sets, interpreting data trends and using a multitude of disparate data sources and tools
Proficiency with SQL
Familiarity with business intelligence platforms and tools (e.g., Tableau, Looker, etc.)
Preferred Qualifications :
Experience in the streaming media industry or other subscription-based service
Python, Scala or R experience writing, managing and deploying code
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Jun 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientist team summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
Jun 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to double down on its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientist team summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We are looking for a Machine Learning Engineer that enjoys working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Hiring Profile:
Experience in productionalizing, deploying, and training machine learning models (we use python and sklearn, but experience in any language is valuable)
Interest in helping other data scientists improve code quality in addition to conducting independent analyses
Experience optimizing models for memory and speed
Knowledge of machine learning and statistics or a strong desire to learn
2+ years of professional experience as a data scientist or software engineer
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
Jun 30, 2019
Full-time
Upstart is the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. Our engineering and data science teams collaborate to use non-conventional variables at scale in an underwriting model that improves constantly. After exciting success over the past few years, Upstart is looking to scale its competitive advantage by expanding its data science team!
Underwriting more accurately and using variables that no other lender considers are what allow us to give people the rates they deserve, so your role at Upstart will drastically impact our company's success.
Our current Data Scientists summarize some of their favorite aspects of our team as:
Having a direct impact on the company's success
Collaborative, intelligent, and open team
Mentorship, growth, and friendship
Leader committed to challenging and growing team members
Feeling safe asking for help when it’s necessary; feeling trusted to get the job done when it’s not
We hire thoughtful Data Scientists who are passionate and enjoy working in a very fast-paced environment. Because our challenges are so new, this person will need to have strong creative problem solving skills and the technical background to implement such solutions. If you think that this could be the right role for you, we would like to learn more about you.
Requirements:
Strong academic credentials with a M.S. in Computer Science, Statistics, Data Science or related field with a preference for Ph.D.
Rigorous quantitative background
Comfort with programming (ideally in Python and R)
Intellectual curiosity balanced with humility
Predictive modeling experience is preferred
The Walt Disney World Revenue Planning and Forecasting team is responsible for the preparation of monthly forecasts, Long-Term Plans and Annual Operating Plans (AOPs) for all Walt Disney World lines of business (LOBs), including admissions / attendance, rooms, food & beverage, merchandise and other revenue.
This role will have responsibility for consolidation of the Long-Term Plan, AOP and monthly forecasts across all revenue LOBs. The role will partner with members of all revenue LOB teams as well as the WDW Financial Planning team, the DPEP Segment Financial Planning team and other key players across DPEP Finance and the WDW Commercial Strategy organization. She or he will proactively lead and clearly communicate expectations for all revenue planning and forecast processes and lead development of presentations for senior leadership, providing valuable information and insights on business performance. This role will have two direct reports: one full-time Cast Member and one professional intern.
Responsibilities :
Lead team responsible for weekly and monthly reporting and forecasting processes with a high attention to detail and an ability to handle multiple priorities in a fast-paced environment
Communicate timely and accurate information to partners in support of all financial planning and forecasting processes, quarterly earnings reports and other presentations
Translate business performance drivers into insightful analysis, recommendations, and presentations for senior leadership
Partner with multiple stakeholders within Revenue Planning & Forecasting, Finance, Commercial Strategy and Marking Center of Excellence to provide actionable insights and influence business decisions
Basic Qualifications :
Bachelor’s degree in Finance, Economics or other business / quantitative field
Minimum four years of experience in financial / quantitative analysis with ability to articulate compelling story about business performance
Demonstrated ability to leverage Excel and PowerPoint to develop convincing analyses and presentations
Ability to work in a fast-paced, collaborative team environment with a positive demeanor
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately and proactively with minimal supervision
Demonstrated strong sense of accountability and pride in delivering high quality deliverables
Required Education :
Master’s degree or equivalent
Prior experience with revenue planning and forecasting processes
Knowledge of DPEP financial processes / systems
Experience managing direct reports
Jun 30, 2019
Full-time
The Walt Disney World Revenue Planning and Forecasting team is responsible for the preparation of monthly forecasts, Long-Term Plans and Annual Operating Plans (AOPs) for all Walt Disney World lines of business (LOBs), including admissions / attendance, rooms, food & beverage, merchandise and other revenue.
This role will have responsibility for consolidation of the Long-Term Plan, AOP and monthly forecasts across all revenue LOBs. The role will partner with members of all revenue LOB teams as well as the WDW Financial Planning team, the DPEP Segment Financial Planning team and other key players across DPEP Finance and the WDW Commercial Strategy organization. She or he will proactively lead and clearly communicate expectations for all revenue planning and forecast processes and lead development of presentations for senior leadership, providing valuable information and insights on business performance. This role will have two direct reports: one full-time Cast Member and one professional intern.
Responsibilities :
Lead team responsible for weekly and monthly reporting and forecasting processes with a high attention to detail and an ability to handle multiple priorities in a fast-paced environment
Communicate timely and accurate information to partners in support of all financial planning and forecasting processes, quarterly earnings reports and other presentations
Translate business performance drivers into insightful analysis, recommendations, and presentations for senior leadership
Partner with multiple stakeholders within Revenue Planning & Forecasting, Finance, Commercial Strategy and Marking Center of Excellence to provide actionable insights and influence business decisions
Basic Qualifications :
Bachelor’s degree in Finance, Economics or other business / quantitative field
Minimum four years of experience in financial / quantitative analysis with ability to articulate compelling story about business performance
Demonstrated ability to leverage Excel and PowerPoint to develop convincing analyses and presentations
Ability to work in a fast-paced, collaborative team environment with a positive demeanor
Demonstrated ability to meet deadlines, handle multiple priorities, and perform job responsibilities accurately and proactively with minimal supervision
Demonstrated strong sense of accountability and pride in delivering high quality deliverables
Required Education :
Master’s degree or equivalent
Prior experience with revenue planning and forecasting processes
Knowledge of DPEP financial processes / systems
Experience managing direct reports
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club.
The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports.
Responsibilities :
Lead a team of professionals within focused on web, mobile app and contact center analytics
Provide insight from the data and communicate opportunities or issues through holistic storytelling
Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships
Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis
Recommend optimization tactics to improve performance continuously
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance
Seek opportunities to improve the report processes, data collection, delivery methods, and value
Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context
Provide guidance and support to casual users/ consumers of the metrics
Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis
Basic Qualifications :
Bachelor’s Degree or equivalent experience
5+ years web analytics experience
Experience in actionable analytics and optimization
Ability to derive and present insights from data
Advanced knowledge of Adobe SAnalytics products
Excellent written and verbal communication skills
Advanced experience in communicating with senior managers and executives
Experience in strategic marketing and planning
Deep understanding of segmentation and targeting
Must be able to manage time effectively within a very complex environment
Ability to lead and develop team of several people
Preferred Qualifications :
MBA or equivalent work experience
Travel Industry and ecommerce experience
Understanding of direct marketing and personalization
Experience with business intelligence tools
Knowledge of statistical testing methodology
Experience in monetizing actions such as insights delivered
Conversational ability in Mandarin or French is an asset
Required Education :
Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
Jun 28, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is a Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR) that informs strategy development and decision-making through actionable data analytics, integration and insights. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture, analyze and optimize our websites to drive Guest satisfaction and business outcomes. We use data to maximize the magic in Guest trips to the greatest vacation destinations in the world, including the Walt Disney World Resort in Florida, the Disneyland Resort in California, Hong Kong Disneyland Resort, and the Shanghai Disneyland Resort. We also support businesses such as Disney Cruise Line, Adventures by Disney and Disney Vacation Club.
The Manager, Digital Analytics must be an innovative problem solver with a passion for developing and growing a team. The leader must be able to inspire others and have a desire for continuous learning in the dynamic space of Digital Analytics. The position reports to the Vice President, Digital Analytics and Travel Operations, and leads multiple direct reports.
Responsibilities :
Lead a team of professionals within focused on web, mobile app and contact center analytics
Provide insight from the data and communicate opportunities or issues through holistic storytelling
Ensure that that there is a culture of quality within the team in all aspects including data quality, analytical thought leadership, best practices, cast development and partner relationships
Support commercial teams, product management groups and other teams with ad-hoc reporting and in-depth analysis
Recommend optimization tactics to improve performance continuously
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance
Seek opportunities to improve the report processes, data collection, delivery methods, and value
Exercise judgment and interpretation of requests to deliver the appropriate metric with the necessary context
Provide guidance and support to casual users/ consumers of the metrics
Guide data requirements by working with other data management, analytic, technology and business groups within the enterprise to ensure that the data needed is available for analysis
Basic Qualifications :
Bachelor’s Degree or equivalent experience
5+ years web analytics experience
Experience in actionable analytics and optimization
Ability to derive and present insights from data
Advanced knowledge of Adobe SAnalytics products
Excellent written and verbal communication skills
Advanced experience in communicating with senior managers and executives
Experience in strategic marketing and planning
Deep understanding of segmentation and targeting
Must be able to manage time effectively within a very complex environment
Ability to lead and develop team of several people
Preferred Qualifications :
MBA or equivalent work experience
Travel Industry and ecommerce experience
Understanding of direct marketing and personalization
Experience with business intelligence tools
Knowledge of statistical testing methodology
Experience in monetizing actions such as insights delivered
Conversational ability in Mandarin or French is an asset
Required Education :
Bachelor’s degree in a quantitative field – e.g. Marketing, Mathematics, Engineering, Economics, etc.
The Web Analytics Technical Implementation Manager will play a key role in ensuring proper tagging and reporting set-up to support our clients in accurately measuring the success of their digital assets, platforms and campaigns.
This person will be a subject matter expert on analytics implementation and testing.
One of the primary responsibilities of this role is to implement and validate Google tagging including technical configuration in Google Tag Manager – ensuring that tags fire properly and data flows so that reporting accurately captures the desired actions and behaviors.
This position can be remote. Full time direct or ongoing contract options.
Experience and Responsibilities
Proven track record of success with Implementing and managing Google Analytics tagging and configuring Google Tag Manager including but not limited to strong understanding of: data layers, tagging, variables, custom metric set up
Leads initiatives focused on implementation, customization, automation of data collection processes
Assure proper tracking implementation through an established QA testing process
Review data trends post-implementation to confirm accuracy and identify anomalies
Experience tracking behaviors and customized journeys
Experience working with customer experience platforms and/or marketing automation
Experience working with 3rd party trackers (DMC,LinkedIN, FB, Twitter, etc)
Maintain | Modify | Create Tableau dashboards for various business units
Assist Analytics in automating reporting and data requests (experience with API a plus – Python, R, SQL)
Validate and troubleshoot tagging & tracking issues as they occur – communicating status/next steps until resolution with all relevant stakeholders
Work with internal teams & partners in support of tagging needs/management (approvals) for eComm reporting, Paid advertising, testing (Optimize), etc.
Create and maintain tagging documentation (~20%)
Quantitative mindset, with a desire to work in a digital data-focused environment
Savvy with respect to technical concepts and workflows that underpin digital analytics, such as debugging tools (Charles or Firebug), first- vs third-party cookies and data encryption
Sample Tasks
Work with team on updating to hidden form fields and changing origins in both parent page and iframes
Fix decoding for Silverpop to reference Base64 code
Push decode SP value to GTM data layer
Provide recommendations on ReadyTalk API
Completed POC for send GA hits via Measurement Protocol API and Silverpop
Removed JS errors from GTM
Save cookie IDs to rsaconference.com domain
Grap SPs visitor Id and pass it on to GA/GTM custom dimension
Update GA custom dimension configuration for all properties
Test importing data from Silverpop using GA UID as key
Jun 21, 2019
Full-time
The Web Analytics Technical Implementation Manager will play a key role in ensuring proper tagging and reporting set-up to support our clients in accurately measuring the success of their digital assets, platforms and campaigns.
This person will be a subject matter expert on analytics implementation and testing.
One of the primary responsibilities of this role is to implement and validate Google tagging including technical configuration in Google Tag Manager – ensuring that tags fire properly and data flows so that reporting accurately captures the desired actions and behaviors.
This position can be remote. Full time direct or ongoing contract options.
Experience and Responsibilities
Proven track record of success with Implementing and managing Google Analytics tagging and configuring Google Tag Manager including but not limited to strong understanding of: data layers, tagging, variables, custom metric set up
Leads initiatives focused on implementation, customization, automation of data collection processes
Assure proper tracking implementation through an established QA testing process
Review data trends post-implementation to confirm accuracy and identify anomalies
Experience tracking behaviors and customized journeys
Experience working with customer experience platforms and/or marketing automation
Experience working with 3rd party trackers (DMC,LinkedIN, FB, Twitter, etc)
Maintain | Modify | Create Tableau dashboards for various business units
Assist Analytics in automating reporting and data requests (experience with API a plus – Python, R, SQL)
Validate and troubleshoot tagging & tracking issues as they occur – communicating status/next steps until resolution with all relevant stakeholders
Work with internal teams & partners in support of tagging needs/management (approvals) for eComm reporting, Paid advertising, testing (Optimize), etc.
Create and maintain tagging documentation (~20%)
Quantitative mindset, with a desire to work in a digital data-focused environment
Savvy with respect to technical concepts and workflows that underpin digital analytics, such as debugging tools (Charles or Firebug), first- vs third-party cookies and data encryption
Sample Tasks
Work with team on updating to hidden form fields and changing origins in both parent page and iframes
Fix decoding for Silverpop to reference Base64 code
Push decode SP value to GTM data layer
Provide recommendations on ReadyTalk API
Completed POC for send GA hits via Measurement Protocol API and Silverpop
Removed JS errors from GTM
Save cookie IDs to rsaconference.com domain
Grap SPs visitor Id and pass it on to GA/GTM custom dimension
Update GA custom dimension configuration for all properties
Test importing data from Silverpop using GA UID as key
The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Responsibilities:
Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.)
Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered
Deep knowledge of statistical principles and the underlying data assumptions on which they rely
Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation
Ability to program in Python, R, or other statistical programming language(s)
Familiarity with databases and data retrieval, including SQL
A passion for data, entertainment, and technology
Preferred Qualifications:
Previous experience in entertainment
Knowledge of the video streaming industry
Experience working with real-time streaming data
Previous experience or internships in a data science role
Hands-on experience with AWS or other similar cloud services
Demonstrated delivery of machine learning techniques in real-time applications
The ability to effectively communicate technical ideas to both technical and non-technical audiences
Jun 20, 2019
Full-time
The Direct-to-Consumer and International (DTCI) Data Platform group is a team focused on utilizing cutting edge technology to bring the power of data to DTCI and provide solid guidance in the decision-making process across the organization. We focus on using data that is collected from DTCI video streaming platforms to improve experiences for our guests through personalization and analytics-based decision-making. The Associate Data Scientist will be primarily focused on delivering value by developing algorithms that drive integral underlying functionality of our various video streaming services. In addition, throughout the algorithm development process, the role involves performing thorough data analyses and presenting these findings to stakeholders across the organization. Collaboration is key to success at Disney. The Associate Data Scientist is expected to work closely with various teams throughout any given project, so strong communication skills are a must.
Responsibilities:
Master’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.)
Bachelor’s degree in a quantitative discipline (statistics, mathematics, data science, economics, etc.) with at least 3 years of professional work experience as a data scientist will be considered
Deep knowledge of statistical principles and the underlying data assumptions on which they rely
Hands-on experience building at least 2 of the following statistical models/techniques: recommendation systems, reinforcement learning, neural networks, deep learning, optimization and simulation, churn models, logistic/linear regression, forecasting, experimental design, clustering and segmentation
Ability to program in Python, R, or other statistical programming language(s)
Familiarity with databases and data retrieval, including SQL
A passion for data, entertainment, and technology
Preferred Qualifications:
Previous experience in entertainment
Knowledge of the video streaming industry
Experience working with real-time streaming data
Previous experience or internships in a data science role
Hands-on experience with AWS or other similar cloud services
Demonstrated delivery of machine learning techniques in real-time applications
The ability to effectively communicate technical ideas to both technical and non-technical audiences
PURPOSE:
Analyze and implement technology and business process solutions for the Port of Seattle’s PeopleSoft financial systems, in support of the Port’s strategic business initiatives.
ESSENTIAL FUNCTIONS:
This list is ILLUSTRATIVE ONLY, and is not a comprehensive listing of all functions and duties performed. Essential duties and responsibilities may include, but are not limited to, the following: Progressive Systems Administration:
Elicit, perform and develop system/process requirements, functional specifications, system configuration, system testing, solutions documentation, and partner with IT on customizations development.
Evaluate and provide meaningful data to improve the organizations decision-making capabilities. Build business cases for new technology projects from AFR leadership that include alternative technical solutions, options, risks, cost-benefit analysis, and impact on other business processes.
Manage quality assurance by developing and implementing test strategy, test scenarios and test cases followed by executing the tests, debugging and documenting results. Facilitate learning and development workshops with Port business partners related to change management of new systems and/or business processes.
Provide advanced information retrieval and complex query development, ensuring the validity of the information produced.
Define PeopleSoft user roles and responsibilities, then correlate or translate user roles and responsibilities to system access, permissions and profiles ensuring separation of duty is present and maintained.
Project Leadership and Support:
Create and implement project plan and facilitate execution. Determine the appropriate time to make advancement on projects and move on to next stages. Assist in the enforcement of project deadlines and schedules.
Clarify the duties, roles and functions of team members between both prospective competing team members and their superiors.
Ensure alignment with business sponsor, stakeholders, and senior leadership.
Interface with staff developing strategy as technical advisor for new functionality from applications, releases, and upgrades.
Proactively communicate and collaborate with external and internal customers to analyze information needs and functional requirements and deliver the needed artifacts (i.e., functional requirements, business requirements document, use cases, screen and interface designs).
Work directly with and serve as the liaison between business units, technology teams, development team and support teams.
Continuous Process Improvement & Lean Culture Adoption:
Shape a culture of innovation within and beyond the AFR Department in which people collaborating come up with new ideas, methods, and processes to increase productivity, improve efficiency and reduce costs.
Evaluate current systems, policies and processes to identify opportunities to best optimize resources by eliminating redundancies and by increasing automation and system functionality.
Ensure all processes and operations are necessary, clearly defined, and efficiently designed to align people, systems, and policies.
Key Liaison with Business Partners on Technology:
Collaborate with developers and subject matter experts to establish the technical vision and analyze trade-offs between usability and performance needs.
Interface with staff developing strategy as technical advisor for new functionality from applications, releases, and upgrades.
Share, educate, and connect knowledge with the appropriate audiences.
KNOWLEDGE, SKILLS & ABILITIES:
Expertise implementing, upgrading and using PeopleSoft Financials and HCM including advanced ad-hoc query development and strong functional knowledge of system security roles and set-up.
General understanding of Accounting and Generally Accepted Accounting Principles (GAAP) and a strong understanding of internal controls and systems/operational risk assessment and mitigation.
Able to define sound and functional process controls and incorporate them into Port Accounting/Financial systems and business processes.
Advanced, broad technical expertise in PeopleSoft Financials and HCM and in troubleshooting cross-module system issues, requiring knowledge of system configuration, as well as Accounting functions and business processes including the interrelationships and interdependencies between each of the modules. Skilled at structured analysis techniques, issue management, risk analysis and mitigation, recognizing and mitigating sensitive project issues, problem solving, conceptual and logical thinking. Strong oral, business and technical writing skills that allow for facilitation of meetings, presentations and requirements gathering sessions. Excellent teamwork and interpersonal skills that establish rapport, persuade cross-functional business partners at all organizational levels, assist in understanding of technical information, and resolve conflicts in a positive manner. Ability to evaluate information gathered from multiple sources, reconcile conflicting information, breakdown high-level information into details and differentiate user requests from the underlying true needs. Able to understand business strategy and translate into specific details. Able to mentor business partners to accept change and use new technology. Ability to lead and negotiate business solutions that balance technical capability, cost, and time, against business need. Ability to work independently with users to define concepts, under direction of project managers is required. Ability to communicate difficult or sensitive information tactfully. Ability to challenge the status quo and facilitate different perspectives to drive solutions in the support of business results.
QUALIFICATIONS:
Combination of education and experience demonstrative knowledge, skills and abilities equivalent to:
Bachelor’s degree in Accounting, Business Administration or related field;
Eight (8) years of experience with automated financial and accounting system;
Four (4) years of experience in each of the following: Business process analysis and improvement; and project management for medium to large technology and business process optimization projects; and
Two (2) years of experience developing and conducting training classes and developing training materials.
PREFERRED QUALIFICATIONS:
PMP;
CPA;
CBAP;
Six Sigma or Lean Practitioner Certification;
Experience with Business Intelligence and data mining tools such as Tableau.
EEO Statement
The Port of Seattle is an Equal Opportunity Employer, Affirmative Action Employer and is committed to diversity in the workplace. Minorities, women, veterans and individuals with disabilities are encouraged to apply.
Jun 19, 2019
Full-time
PURPOSE:
Analyze and implement technology and business process solutions for the Port of Seattle’s PeopleSoft financial systems, in support of the Port’s strategic business initiatives.
ESSENTIAL FUNCTIONS:
This list is ILLUSTRATIVE ONLY, and is not a comprehensive listing of all functions and duties performed. Essential duties and responsibilities may include, but are not limited to, the following: Progressive Systems Administration:
Elicit, perform and develop system/process requirements, functional specifications, system configuration, system testing, solutions documentation, and partner with IT on customizations development.
Evaluate and provide meaningful data to improve the organizations decision-making capabilities. Build business cases for new technology projects from AFR leadership that include alternative technical solutions, options, risks, cost-benefit analysis, and impact on other business processes.
Manage quality assurance by developing and implementing test strategy, test scenarios and test cases followed by executing the tests, debugging and documenting results. Facilitate learning and development workshops with Port business partners related to change management of new systems and/or business processes.
Provide advanced information retrieval and complex query development, ensuring the validity of the information produced.
Define PeopleSoft user roles and responsibilities, then correlate or translate user roles and responsibilities to system access, permissions and profiles ensuring separation of duty is present and maintained.
Project Leadership and Support:
Create and implement project plan and facilitate execution. Determine the appropriate time to make advancement on projects and move on to next stages. Assist in the enforcement of project deadlines and schedules.
Clarify the duties, roles and functions of team members between both prospective competing team members and their superiors.
Ensure alignment with business sponsor, stakeholders, and senior leadership.
Interface with staff developing strategy as technical advisor for new functionality from applications, releases, and upgrades.
Proactively communicate and collaborate with external and internal customers to analyze information needs and functional requirements and deliver the needed artifacts (i.e., functional requirements, business requirements document, use cases, screen and interface designs).
Work directly with and serve as the liaison between business units, technology teams, development team and support teams.
Continuous Process Improvement & Lean Culture Adoption:
Shape a culture of innovation within and beyond the AFR Department in which people collaborating come up with new ideas, methods, and processes to increase productivity, improve efficiency and reduce costs.
Evaluate current systems, policies and processes to identify opportunities to best optimize resources by eliminating redundancies and by increasing automation and system functionality.
Ensure all processes and operations are necessary, clearly defined, and efficiently designed to align people, systems, and policies.
Key Liaison with Business Partners on Technology:
Collaborate with developers and subject matter experts to establish the technical vision and analyze trade-offs between usability and performance needs.
Interface with staff developing strategy as technical advisor for new functionality from applications, releases, and upgrades.
Share, educate, and connect knowledge with the appropriate audiences.
KNOWLEDGE, SKILLS & ABILITIES:
Expertise implementing, upgrading and using PeopleSoft Financials and HCM including advanced ad-hoc query development and strong functional knowledge of system security roles and set-up.
General understanding of Accounting and Generally Accepted Accounting Principles (GAAP) and a strong understanding of internal controls and systems/operational risk assessment and mitigation.
Able to define sound and functional process controls and incorporate them into Port Accounting/Financial systems and business processes.
Advanced, broad technical expertise in PeopleSoft Financials and HCM and in troubleshooting cross-module system issues, requiring knowledge of system configuration, as well as Accounting functions and business processes including the interrelationships and interdependencies between each of the modules. Skilled at structured analysis techniques, issue management, risk analysis and mitigation, recognizing and mitigating sensitive project issues, problem solving, conceptual and logical thinking. Strong oral, business and technical writing skills that allow for facilitation of meetings, presentations and requirements gathering sessions. Excellent teamwork and interpersonal skills that establish rapport, persuade cross-functional business partners at all organizational levels, assist in understanding of technical information, and resolve conflicts in a positive manner. Ability to evaluate information gathered from multiple sources, reconcile conflicting information, breakdown high-level information into details and differentiate user requests from the underlying true needs. Able to understand business strategy and translate into specific details. Able to mentor business partners to accept change and use new technology. Ability to lead and negotiate business solutions that balance technical capability, cost, and time, against business need. Ability to work independently with users to define concepts, under direction of project managers is required. Ability to communicate difficult or sensitive information tactfully. Ability to challenge the status quo and facilitate different perspectives to drive solutions in the support of business results.
QUALIFICATIONS:
Combination of education and experience demonstrative knowledge, skills and abilities equivalent to:
Bachelor’s degree in Accounting, Business Administration or related field;
Eight (8) years of experience with automated financial and accounting system;
Four (4) years of experience in each of the following: Business process analysis and improvement; and project management for medium to large technology and business process optimization projects; and
Two (2) years of experience developing and conducting training classes and developing training materials.
PREFERRED QUALIFICATIONS:
PMP;
CPA;
CBAP;
Six Sigma or Lean Practitioner Certification;
Experience with Business Intelligence and data mining tools such as Tableau.
EEO Statement
The Port of Seattle is an Equal Opportunity Employer, Affirmative Action Employer and is committed to diversity in the workplace. Minorities, women, veterans and individuals with disabilities are encouraged to apply.
SEBPO is looking for a IT Manager to provide technical leadership and oversight to drive projects, enable new implementations and facilitate ongoing improvements in our technical systems.
SEBPO is a trusted Business Process Outsourcing (BPO) partner specializing in Digital Advertising Operations and Creative Services, Application Development and Support, Quality Assurance and Data Solutions. Our expert service teams complement and improve the day-to-day operations of clients' in the advertising, marketing, and technology industries.
As a Technology Operations Manager, you will utilize your deep technical expertise and knowledge to troubleshoot a variety of IT issues. You’ll work closely with our VP of US Operations, as well as other internal teams, to support the technology infrastructure of the organization, lead internal IT meetings and manage system implementations. You’ll suggest alternative systems and test out new technologies to improve processes, keeping us effective and efficient. And if our clients run into a particular technology challenge, you’ll be a thought partner for our overseas delivery teams in finding the right solution.
The ideal candidate is forward thinking, highly process-oriented and has previous experience in technical project management.
Responsibilities
Report to and serve as a technology business partner to our VP of US Operations
Track IT purchases within established spending limits
Create Standard Operating Procedures to better systematize our technology practices
Schedule and track minutes for regular corporate IT meetings
Provide first level technical support for our US Office
Manage US network vendors and computer assets
Track IT requests and tickets using Google Spreadsheet
Oversee IT equipment and hardware purchasing for US Office
Work collaboratively across teams to establish technical and process direction
Manage cross departmental systems implementations and projects
Gather technical requirements when required by Client Solutions Team / Transition Team
Occasionally troubleshoot client technology issues, working with our overseas teams or vendors as needed
You should be comfortable providing Systems Administration for:
Mac Environment
Microsoft User Licenses
WebEx System Account Administration
SSL Certificates
Account Owner for Proxy Servers, Amazon, Internal Software, Chat
CRM (Salesforce) and Outreach.io administration
Minor Accounts including Nest Camera Accounts, GoDaddy Domain Names, SignUp Genius, Etc.
8x8 Phone Administration
Other Requirements
Bachelors or Masters in IT, Computer Science, Systems Administration, or a related field. Degree in another field with additional relevant work experience or certifications also accepted.
5+ years of relevant technical experience, including systems upgrades and overall technical project management
Ability to coordinate and communicate across departments, including overseas teams.
Prior experience in a distributed team is a bonus, but not required.
Strong ability to work through complex technical problems, with an eye for process improvements
Experience maintaining systems with a large number of users
Experience evaluating technology purchases, negotiating user licenses, contracts
Ability to work independently
An extremely high consideration toward privacy, confidentiality, and professionalism, as you will handle sensitive and protected data
Comfortable in an environment where a high level of responsiveness and attention to detail are critical
Familiarity with Java, PHP, HTML and CRM systems a plus
Jun 19, 2019
Full-time
SEBPO is looking for a IT Manager to provide technical leadership and oversight to drive projects, enable new implementations and facilitate ongoing improvements in our technical systems.
SEBPO is a trusted Business Process Outsourcing (BPO) partner specializing in Digital Advertising Operations and Creative Services, Application Development and Support, Quality Assurance and Data Solutions. Our expert service teams complement and improve the day-to-day operations of clients' in the advertising, marketing, and technology industries.
As a Technology Operations Manager, you will utilize your deep technical expertise and knowledge to troubleshoot a variety of IT issues. You’ll work closely with our VP of US Operations, as well as other internal teams, to support the technology infrastructure of the organization, lead internal IT meetings and manage system implementations. You’ll suggest alternative systems and test out new technologies to improve processes, keeping us effective and efficient. And if our clients run into a particular technology challenge, you’ll be a thought partner for our overseas delivery teams in finding the right solution.
The ideal candidate is forward thinking, highly process-oriented and has previous experience in technical project management.
Responsibilities
Report to and serve as a technology business partner to our VP of US Operations
Track IT purchases within established spending limits
Create Standard Operating Procedures to better systematize our technology practices
Schedule and track minutes for regular corporate IT meetings
Provide first level technical support for our US Office
Manage US network vendors and computer assets
Track IT requests and tickets using Google Spreadsheet
Oversee IT equipment and hardware purchasing for US Office
Work collaboratively across teams to establish technical and process direction
Manage cross departmental systems implementations and projects
Gather technical requirements when required by Client Solutions Team / Transition Team
Occasionally troubleshoot client technology issues, working with our overseas teams or vendors as needed
You should be comfortable providing Systems Administration for:
Mac Environment
Microsoft User Licenses
WebEx System Account Administration
SSL Certificates
Account Owner for Proxy Servers, Amazon, Internal Software, Chat
CRM (Salesforce) and Outreach.io administration
Minor Accounts including Nest Camera Accounts, GoDaddy Domain Names, SignUp Genius, Etc.
8x8 Phone Administration
Other Requirements
Bachelors or Masters in IT, Computer Science, Systems Administration, or a related field. Degree in another field with additional relevant work experience or certifications also accepted.
5+ years of relevant technical experience, including systems upgrades and overall technical project management
Ability to coordinate and communicate across departments, including overseas teams.
Prior experience in a distributed team is a bonus, but not required.
Strong ability to work through complex technical problems, with an eye for process improvements
Experience maintaining systems with a large number of users
Experience evaluating technology purchases, negotiating user licenses, contracts
Ability to work independently
An extremely high consideration toward privacy, confidentiality, and professionalism, as you will handle sensitive and protected data
Comfortable in an environment where a high level of responsiveness and attention to detail are critical
Familiarity with Java, PHP, HTML and CRM systems a plus
Are you looking for a fun and rewarding position? If you answered yes, then EMS is the place for you!
The Position
As a Technical Support Agent you must be able to answer inbound customer calls, email, and chat inquiries in a timely and productive manner. Agents will troubleshoot and handle call escalations to resolve technical issues and/or customer inquiries regarding services, products and complaints. Must be able to maintain a strong relationship and communication between EMS and client on account procedures and managing priorities.
Why work at EMS?
EMS Inc. offers a team work environment, not a “typical” call center atmosphere. We have a variety of programs that hat are rewarding and fun! We are a dynamic team that can offer more of a one on one approach to our employees. We are not the “big box” guys where you feel like a number. We want our agents to succeed!
You will need
Above average customer service skills
Strong written and verbal communication skills when interacting with customers and coworkers
Friendly and energetic attitude
Computer knowledge and internet skills
Ability to navigate between multiple computer screens/tabs
Quick learner who enjoys using trouble-shooting and problem solving skills
Ability to work both as an individual and as a team member
Requirements
High School Diploma or equivalent
Must be familiar with phone Apps, Internet, Email, and Microsoft Office
Previous call center experience preferred, but not required
Preferred Associates Degree in technical and/or related field
Experience with the Internet, networking, WAN, LAN, technology, personal computers, mobile devices, and Microsoft Office
Previous technical help desk or call center experience a plus
Variety of shifts available. Availability for 1 weekend day preferred
EMS Offers
Career advancement opportunities
Team work environment
$500 hiring bonus
Paid on-the-job training
Full time schedules
Medical, dental, vision, and life insurance benefits 1st of the month following 59 days of hire
Casual dress attire
Individual work spaces
Complimentary breakfast on Fridays
Free parking
North-West Omaha location
Jun 04, 2019
Full-time
Are you looking for a fun and rewarding position? If you answered yes, then EMS is the place for you!
The Position
As a Technical Support Agent you must be able to answer inbound customer calls, email, and chat inquiries in a timely and productive manner. Agents will troubleshoot and handle call escalations to resolve technical issues and/or customer inquiries regarding services, products and complaints. Must be able to maintain a strong relationship and communication between EMS and client on account procedures and managing priorities.
Why work at EMS?
EMS Inc. offers a team work environment, not a “typical” call center atmosphere. We have a variety of programs that hat are rewarding and fun! We are a dynamic team that can offer more of a one on one approach to our employees. We are not the “big box” guys where you feel like a number. We want our agents to succeed!
You will need
Above average customer service skills
Strong written and verbal communication skills when interacting with customers and coworkers
Friendly and energetic attitude
Computer knowledge and internet skills
Ability to navigate between multiple computer screens/tabs
Quick learner who enjoys using trouble-shooting and problem solving skills
Ability to work both as an individual and as a team member
Requirements
High School Diploma or equivalent
Must be familiar with phone Apps, Internet, Email, and Microsoft Office
Previous call center experience preferred, but not required
Preferred Associates Degree in technical and/or related field
Experience with the Internet, networking, WAN, LAN, technology, personal computers, mobile devices, and Microsoft Office
Previous technical help desk or call center experience a plus
Variety of shifts available. Availability for 1 weekend day preferred
EMS Offers
Career advancement opportunities
Team work environment
$500 hiring bonus
Paid on-the-job training
Full time schedules
Medical, dental, vision, and life insurance benefits 1st of the month following 59 days of hire
Casual dress attire
Individual work spaces
Complimentary breakfast on Fridays
Free parking
North-West Omaha location
Who We Are: The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. What You Will Be Creating: You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools. What’s Your Story? We are looking for self-starting, experienced engineers who wans to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly. Responsibilities : Analyze business problems, architect, design and build high-quality software solutions Collaborate with customer representatives, product and project management teams Evangelize technologies, solutions, and best practices Contribute new ideas to a larger community of high-caliber professionals Balance resources, requirements, and complexity Basic Qualifications : Passion & proven experience in engineering high-quality software and systems that deliver business value Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis Fluency with the fundamentals of algorithms and data structures Sound technical decision-making A range of JVM/CLR languages, as well as scripting/systems languages like Python Testing practices (unit, integration, performance and load testing) Revision control with git Distributed systems and API design Kafka, Spark, Hive and other distributed data analysis tools The AWS environment and toolset SQL and related data stores Confluent.io & Kafka Maven & Pants for dependencies and builds Jenkins for build & deployment Docker, OpenShift and Kubernetes for execution management Elastic Search, Kibana, or other aggregation and search tools Teradata, Informatica, and other data warehousing solutions Tableau, MicroStrategy, d3, and other data visualization tools Preferred Qualifications: Data science, statistics, machine learning and other applied mathematics Data lake and data warehouse implementation and support Kylo, Cloudera, or other data lake management systems Required Education : BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Jul 17, 2019
Full-time
Who We Are: The Walt Disney Studios is comprised of large team of creative professionals who produce and acquire live-action and animated motion pictures, direct-to-video content, television and serial properties, musical recordings and live stage plays that tell memorable, life changing stories. Few media and entertainment companies can rival the brands we have the honor of bringing to the world. What You Will Be Creating: You will be working in a small, multidisciplinary team of systems, software, and data engineers. You will be designing, creating, and applying a state-of-the-art data ingest, storage, analytics and reporting system for a variety of customer groups within the Studios. This is an opportunity to shape the present and future of a major studio’s relationship with data. We are looking for talented software engineers with experience manipulating data sets at the multi-terabyte level, using the JVM/Apache/Spark/Kafka ecology of open-source distributed storage and computation tools. What’s Your Story? We are looking for self-starting, experienced engineers who wans to shape the way that a fortune 100 entertainment company engages with data and analytics. You have extensive experience shipping production code. You are insulted when someone asks you if you’ve written the unit tests yet, because you wrote them first. You can simulate, load-test, and performance analyze a complex distributed system. You are comfortable analyzing problems and implementing solutions on multi-terabyte data sets. Your systems fail elegantly. Responsibilities : Analyze business problems, architect, design and build high-quality software solutions Collaborate with customer representatives, product and project management teams Evangelize technologies, solutions, and best practices Contribute new ideas to a larger community of high-caliber professionals Balance resources, requirements, and complexity Basic Qualifications : Passion & proven experience in engineering high-quality software and systems that deliver business value Passion & proven experience in system design, with interests and experience across the architecture from virtual machine and language internals to distributed systems performance and analysis Fluency with the fundamentals of algorithms and data structures Sound technical decision-making A range of JVM/CLR languages, as well as scripting/systems languages like Python Testing practices (unit, integration, performance and load testing) Revision control with git Distributed systems and API design Kafka, Spark, Hive and other distributed data analysis tools The AWS environment and toolset SQL and related data stores Confluent.io & Kafka Maven & Pants for dependencies and builds Jenkins for build & deployment Docker, OpenShift and Kubernetes for execution management Elastic Search, Kibana, or other aggregation and search tools Teradata, Informatica, and other data warehousing solutions Tableau, MicroStrategy, d3, and other data visualization tools Preferred Qualifications: Data science, statistics, machine learning and other applied mathematics Data lake and data warehouse implementation and support Kylo, Cloudera, or other data lake management systems Required Education : BS in computer science, mathematics, or engineering with 8-10+ years of software experience
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels.
Responsibilities :
Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans
Writing audience rules, queries, and merge rules
Perform deep-dives of audience campaigns to inform best practices for different products and strategies
Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions
Understand key drivers and audiences for each business unit and their specific marketing potential
Create documentation around new processes derived from audience testing results
Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention
Basic Qualifications :
4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact
Demonstrated experience in audience development
Relational, no-SQL and/or columnar data experience
Proficient with SQL and Python/R or other statistical programming language
Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc.
Strong understanding of 1st and 3rd party targeting capabilities
The ability to turn raw data into visual insights to help support decisions
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications :
Working within the Marketing/Advertising vertical
Experience with Data Management Platforms (BlueKai preferred) and Liveramp
Machine learning experience
Experience with distributed databases and query languages like Spark and Scala
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
Jul 05, 2019
Full-time
Disney Streaming Services (DSS) is looking for a Sr. Data Analyst to help deliver critical analytic insights and visualizations around our audiences. This individual will analyze ESPN+ and Disney+ audiences across the company to help guide marketing strategy, operations and data product development. He/she will be instrumental in the management and analysis of our audience development and use practices. The ideal candidate will be someone with deep knowledge in audience building, segmentation, activation and experienced in digital media channels.
Responsibilities :
Collaborate closely with the engagement team to manage and coordinate audience tactics within marketing plans
Writing audience rules, queries, and merge rules
Perform deep-dives of audience campaigns to inform best practices for different products and strategies
Assist in providing ongoing reporting and analysis to inform and support business and marketing decisions
Understand key drivers and audiences for each business unit and their specific marketing potential
Create documentation around new processes derived from audience testing results
Collaborate with teams to develop comprehensive onsite and paid media campaigns to drive acquisition and retention
Basic Qualifications :
4+ years relevant experience with a proven track record of leveraging audience analytics to drive significant business impact
Demonstrated experience in audience development
Relational, no-SQL and/or columnar data experience
Proficient with SQL and Python/R or other statistical programming language
Familiarity with dashboard creation and data visualization tools like Tableau, Looker, etc.
Strong understanding of 1st and 3rd party targeting capabilities
The ability to turn raw data into visual insights to help support decisions
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels
Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum
Preferred Qualifications :
Working within the Marketing/Advertising vertical
Experience with Data Management Platforms (BlueKai preferred) and Liveramp
Machine learning experience
Experience with distributed databases and query languages like Spark and Scala
Required Education :
Bachelor’s degree in relevant focus (i.e., Computer Science, Data Science, Statistics or Machine Learning)
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
Jul 04, 2019
Full-time
At The Walt Disney Studios, you’ll help bring compelling stories to life through film, music and live entertainment. We tell stories. We tell amazing stories. We blow minds. We don’t just want to dominate the silver screen, we want to dominate the conversation. We’re Disney Studios we own brands like Marvel, LucasFilm, Pixar, Disney Animation, Disney Nature and Hollywood Records. We’d like you to join the Disney Studio Data Services team and make the magic happen through a different kind of story. Our story starts with a team, innovation and ambition. We’re starting by disrupting the status quo, by approaching problems using bleeding-edge technologies, a lean culture, and a thirst for knowledge. We can do it all. This is only the beginning of our story, join us for the rest. Data help drive our business at Disney Studios. Marketing teams need the right data signals to market the right event to the right fan at the right time. Product and business leads need easy access to key metrics to measure the health of their business. We are constantly building new products that rely on data to power user experiences, and these products in-turn generate new, valuable data. With so much of our business depending on the comprehensiveness, availability, and accuracy of data, it is critical that Disney Studios have the right team in place to manage it. We are looking for a seasoned leader to help drive our organizational discipline around Data Services. This leader be responsible for ensuring Disney Studio’s core data systems are meeting the needs of the business. This team will have a hand in strategy, requirements definition and prioritization for Data Ingestion, Data Accessibility, and Business Intelligence. Our data services organization won’t just build data products. This team is the bridge between the business needs and our technical capabilities. We’ll create a data-ecosystem that puts the data/business user first, anticipates needs, and gets ahead of how a user might access data to create data services that empower teams to unleash their full potential.
Responsibilities :
Lead the Data Ingestion team managing business requirements and prioritization of data being collected from source systems for Marketing, Product, and Business Intelligence uses. Works closely with Source Product and Engineering teams as well as business stakeholders.
Lead the Business Intelligence development team managing internal BI tool strategy. This team’s core mission is to ensure the comprehensiveness and usability of the BI tools and the data available within.
Define and maintain overall Data Services strategy and roadmap. Managing Data Services Project Management and Engineering leads. Prioritize team efforts to deliver incremental near-term value while working toward long term vision.
Partner with Engineering, Privacy, and Compliance Leads to ensure Data Services systems meet all privacy and security requirements
Regularly communicate product roadmap and status of key initiatives to internal stakeholders and executives.
Partner with leaders across the lines of business to ensure Data Services team is a consistent thought partner in servicing the various data needs within the organization.
Establish Product Management best practices within the team, building an organization focused on thoughtfully delivering business value.
Define, track and improve key metrics and success criteria for major data services initiatives.
Basic Qualifications :
15+ years of experience leading development and successful launch of back-end data services and/or data-centric business applications
5+ years of data domain technology experience
Ability to prioritize among competing opportunities, balance internal client needs with business priorities, and articulate the rationale behind decisions
5+ years of working in an agile environment
Creative, collaborative thinker with an ability to learn new things, assess problems and identify proactive solutions quickly
Self-starter, comfortable leading change and getting things done.
Preferred Qualifications:
Experience with data analytics or business intelligence platforms preferred
Required Education :
Bachelor’s degree, with equivalent work experience
The Workforce Management - Strategy & Analytics Manager works with a variety of stakeholders across WDW and within the Workforce Management organization to evaluate and deliver against Workforce Management’s top strategic priorities. Successful candidates will be strategic and analytical thinkers with business knowledge who demonstrate a passion for understanding and tackling new Operations labor frontiers.
This role combines technical, analytical and statistical skills and expertise with project management support and leadership to achieve strategic business objectives. The types of analytics required includes forecasting, optimization, regressions, and end-to-end impact calculations supporting strategic projects, ad hoc requests, what-if analyses, and methodology redesigns.
Responsibilities :
Effectively manages and leads large-scale WFM projects with cross-functional teams
Provides quick and reasonable approach and effort estimates during project planning
Conducts accurate analyses to assess business needs and impacts to frame business cases for assigned projects
Perform exploratory data analysis to gain insights into WDW Operations and identify opportunities
Outlines and clearly explains approach and methodology
Uses results of analysis to clearly lay out appropriate options and recommendations for decision making
Performs analyses to assess proposed analytical methodologies and strategic approaches
Solid understanding of the principles of workforce management operations and analytics
Supports teammates by sharing subject matter expertise and collaborating on analytics approach, design, and/or calculations
Demonstrated passion and commitment to diversity and inclusion including inviting diverse perspectives, fostering an inclusive work environment and supporting workforce diversity
Basic Qualifications :
Demonstrated strong analytical, quantitative, and problem-solving skills
Demonstrated knowledge of mathematical and statistical methods, optimization, simulation, forecasting, and analytics with real-world applications
High level of proficiency in Microsoft Excel and data manipulation and analysis tools
Demonstrated exemplary verbal and written communication skills inclusive of email, project documentation, and executive-level presentations
Ability to tell the story using data, and simplify complex analytics into recommendations that are easily understood for decision-making
Ability to work independently with minimal direction and knows when to seek out information or elevate issues to leadership
Ability to adapt to a rapidly changing business environment and effectively manage multiple priorities and deliver against tight deadlines
Proven partnering and relationship-building skills, working collaboratively with other teams throughout the WDW organization to achieve desired outcomes
Strong project planning, organization, and time management skills
Impeccable attention to detail
Positive change agent
Ability to handle confidential information
Resolves conflicts effectively
Preferred Qualifications :
Prior Workforce Management experience
Expertise in Python, R, Tableau
Required Education :
Bachelor’s degree in Mathematics, Industrial Engineering, Operations Research, Simulation, or related field
Preferred Education :
Advanced degree in related field
Jun 27, 2019
Full-time
The Workforce Management - Strategy & Analytics Manager works with a variety of stakeholders across WDW and within the Workforce Management organization to evaluate and deliver against Workforce Management’s top strategic priorities. Successful candidates will be strategic and analytical thinkers with business knowledge who demonstrate a passion for understanding and tackling new Operations labor frontiers.
This role combines technical, analytical and statistical skills and expertise with project management support and leadership to achieve strategic business objectives. The types of analytics required includes forecasting, optimization, regressions, and end-to-end impact calculations supporting strategic projects, ad hoc requests, what-if analyses, and methodology redesigns.
Responsibilities :
Effectively manages and leads large-scale WFM projects with cross-functional teams
Provides quick and reasonable approach and effort estimates during project planning
Conducts accurate analyses to assess business needs and impacts to frame business cases for assigned projects
Perform exploratory data analysis to gain insights into WDW Operations and identify opportunities
Outlines and clearly explains approach and methodology
Uses results of analysis to clearly lay out appropriate options and recommendations for decision making
Performs analyses to assess proposed analytical methodologies and strategic approaches
Solid understanding of the principles of workforce management operations and analytics
Supports teammates by sharing subject matter expertise and collaborating on analytics approach, design, and/or calculations
Demonstrated passion and commitment to diversity and inclusion including inviting diverse perspectives, fostering an inclusive work environment and supporting workforce diversity
Basic Qualifications :
Demonstrated strong analytical, quantitative, and problem-solving skills
Demonstrated knowledge of mathematical and statistical methods, optimization, simulation, forecasting, and analytics with real-world applications
High level of proficiency in Microsoft Excel and data manipulation and analysis tools
Demonstrated exemplary verbal and written communication skills inclusive of email, project documentation, and executive-level presentations
Ability to tell the story using data, and simplify complex analytics into recommendations that are easily understood for decision-making
Ability to work independently with minimal direction and knows when to seek out information or elevate issues to leadership
Ability to adapt to a rapidly changing business environment and effectively manage multiple priorities and deliver against tight deadlines
Proven partnering and relationship-building skills, working collaboratively with other teams throughout the WDW organization to achieve desired outcomes
Strong project planning, organization, and time management skills
Impeccable attention to detail
Positive change agent
Ability to handle confidential information
Resolves conflicts effectively
Preferred Qualifications :
Prior Workforce Management experience
Expertise in Python, R, Tableau
Required Education :
Bachelor’s degree in Mathematics, Industrial Engineering, Operations Research, Simulation, or related field
Preferred Education :
Advanced degree in related field
DTCI is seeking an intern to help product managers define and bring to market our vision for a qualified, unified dataset within the Data Platform. A successful candidate will actively assist product managers in working with the dataset to power our Custom Audience Segmentation Platform (CAMP) – which enables audience discovery and activation across advertising, marketing, content personalization and more across the DTCI media networks’ portfolio.
Responsibilities:
Assist with internal analyses and data validation for the ESPN Data Platform
Assist with User Acceptance Testing (UAT) criteria
Compile post release documentation, including workflow between the CAMP Disney product and our vendors
Measure and validate insights from across multiple datasets
Collaborate with engineering, operations, sales, and product teams to help resolve post production issues and bugs
Create templates and supporting documentation that can be referenced by technology and business stakeholders
Basic Qualifications:
Basic SQL knowledge
Proficient in Microsoft Office products including MS Excel, MS PowerPoint and MS Project
Excellent written and verbal communication and interpersonal skills
Highly organized, with the ability to multi-task
Excellent problem solving and analytical skills
Must be able to work in fast paced environment and deliver quality work on time
Preferred Qualifications:
Advanced SQL proficiency and/or familiarity with Python or other languages
Experience with ad-tech and ad-serving platforms
Additional Information:
Internship Eligibility:
Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney
Professional Internship:
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Must provide full work availability during Program Length (listed below)
Must provide own transportation to/from work
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Length:
The approximate dates of this internship are September 9 - November 16, 2019
Ability to provide own relocation, housing and transportation. Position is located in New York. Interns must be fully available for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.
Jun 26, 2019
Internship
DTCI is seeking an intern to help product managers define and bring to market our vision for a qualified, unified dataset within the Data Platform. A successful candidate will actively assist product managers in working with the dataset to power our Custom Audience Segmentation Platform (CAMP) – which enables audience discovery and activation across advertising, marketing, content personalization and more across the DTCI media networks’ portfolio.
Responsibilities:
Assist with internal analyses and data validation for the ESPN Data Platform
Assist with User Acceptance Testing (UAT) criteria
Compile post release documentation, including workflow between the CAMP Disney product and our vendors
Measure and validate insights from across multiple datasets
Collaborate with engineering, operations, sales, and product teams to help resolve post production issues and bugs
Create templates and supporting documentation that can be referenced by technology and business stakeholders
Basic Qualifications:
Basic SQL knowledge
Proficient in Microsoft Office products including MS Excel, MS PowerPoint and MS Project
Excellent written and verbal communication and interpersonal skills
Highly organized, with the ability to multi-task
Excellent problem solving and analytical skills
Must be able to work in fast paced environment and deliver quality work on time
Preferred Qualifications:
Advanced SQL proficiency and/or familiarity with Python or other languages
Experience with ad-tech and ad-serving platforms
Additional Information:
Internship Eligibility:
Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney
Professional Internship:
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Must provide full work availability during Program Length (listed below)
Must provide own transportation to/from work
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Length:
The approximate dates of this internship are September 9 - November 16, 2019
Ability to provide own relocation, housing and transportation. Position is located in New York. Interns must be fully available for the duration of the internship. Recommendation – Print or Save This Role Description: Strong candidates may be invited to complete a phone interview. We strongly encourage applicants to print a copy of this role description so they can refer to it in the event they are selected for a phone interview.
The Incentive Process Control Analyst (Part-time) is responsible for system changes for onboarding and off-boarding Sales Cast Members, contract/revenue split processing, licensing tracking and auditing, and DVC Sales monthly/quarterly/annual recognition programs.
Responsibilities:
Collaborate with Training, Recruitment, Sales, and Technology partners to ensure all Sales Cast Members have the required system access
Manage and research contract splits to ensure appropriate revenue distribution between channels and Sales Cast Members
Develop, implement and fulfill on sales award incentives to motivate Sales Cast to achieve financial expectations
Conduct analysis on sales award incentives to determine impact on business results and cast incentive payments
Partner with team to efficiently manage incoming and outgoing communication from internal team mailbox
Basic Qualifications:
Demonstrated strong attention to detail
Demonstrated strong organizational skills
Demonstrated ability to handle confidential information
Demonstrated strong written and verbal communication skills
Preferred Qualifications:
Working knowledge of Microsoft Office (mainly Excel)
Basic knowledge of SQL
Required Education:
High School Degree or equivalent
Preferred Education:
Bachelor's Degree or equivalent
Jun 26, 2019
Part-time
The Incentive Process Control Analyst (Part-time) is responsible for system changes for onboarding and off-boarding Sales Cast Members, contract/revenue split processing, licensing tracking and auditing, and DVC Sales monthly/quarterly/annual recognition programs.
Responsibilities:
Collaborate with Training, Recruitment, Sales, and Technology partners to ensure all Sales Cast Members have the required system access
Manage and research contract splits to ensure appropriate revenue distribution between channels and Sales Cast Members
Develop, implement and fulfill on sales award incentives to motivate Sales Cast to achieve financial expectations
Conduct analysis on sales award incentives to determine impact on business results and cast incentive payments
Partner with team to efficiently manage incoming and outgoing communication from internal team mailbox
Basic Qualifications:
Demonstrated strong attention to detail
Demonstrated strong organizational skills
Demonstrated ability to handle confidential information
Demonstrated strong written and verbal communication skills
Preferred Qualifications:
Working knowledge of Microsoft Office (mainly Excel)
Basic knowledge of SQL
Required Education:
High School Degree or equivalent
Preferred Education:
Bachelor's Degree or equivalent
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across The Walt Disney Company’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices.
Primary responsibilities of the group are to:
Enrich enterprise data assets by identifying and executing data acquisition opportunities and strategies, including those executed internally and/or with third parties
Deliver customer data analytics / decision science subject matter expertise and services to TWDC businesses
Establish global, company-wide standards and business policies for collection, sharing and use of customer information
Own and operate enterprise-wide tools and capabilities, including the enterprise-wide customer data marketing and analytics environment and any company-wide customer-facing tools (e.g., customer preference centers, account management tools).
Within Customer Information Management, the Campaign Services Team strives to provide a level of expertise and support to The Walt Disney Company when it comes to utilization of data for marketing use. By providing this support, it allows BUs to focus on their core marketing principles, while the Campaign Services team helps execute their objectives.
Responsibilities:
Provide guidance and leadership to various Disney business units in all aspects of CRM, including deployment strategy, audience selection, creative design and reporting.
Assist with the daily operations and deployment of CRM email campaigns through Email Service Provider
Design and code email creative through the use of HTML, Adobe Dreamweaver and Photoshop
Assist with gathering key metrics for to fulfill reporting requirements for CRM campaigns
Meet with business unit representatives and provide insights/analytics in regards to campaign performance
Manage audience selection and CRM best practices for each email campaign
Basic Qualifications:
2 years or more CRM/email experience
Campaign Management
CRM Tools (i.e. Adobe Campaign, Salesforce)
HTML
Microsoft Suite
Adobe Dreamweaver
Adobe Photoshop
Preferred Qualifications:
SQL Knowledge preferred
Strong communication skills preferred
Required Education:
Bachelor’s degree
Jun 22, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across The Walt Disney Company’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices.
Primary responsibilities of the group are to:
Enrich enterprise data assets by identifying and executing data acquisition opportunities and strategies, including those executed internally and/or with third parties
Deliver customer data analytics / decision science subject matter expertise and services to TWDC businesses
Establish global, company-wide standards and business policies for collection, sharing and use of customer information
Own and operate enterprise-wide tools and capabilities, including the enterprise-wide customer data marketing and analytics environment and any company-wide customer-facing tools (e.g., customer preference centers, account management tools).
Within Customer Information Management, the Campaign Services Team strives to provide a level of expertise and support to The Walt Disney Company when it comes to utilization of data for marketing use. By providing this support, it allows BUs to focus on their core marketing principles, while the Campaign Services team helps execute their objectives.
Responsibilities:
Provide guidance and leadership to various Disney business units in all aspects of CRM, including deployment strategy, audience selection, creative design and reporting.
Assist with the daily operations and deployment of CRM email campaigns through Email Service Provider
Design and code email creative through the use of HTML, Adobe Dreamweaver and Photoshop
Assist with gathering key metrics for to fulfill reporting requirements for CRM campaigns
Meet with business unit representatives and provide insights/analytics in regards to campaign performance
Manage audience selection and CRM best practices for each email campaign
Basic Qualifications:
2 years or more CRM/email experience
Campaign Management
CRM Tools (i.e. Adobe Campaign, Salesforce)
HTML
Microsoft Suite
Adobe Dreamweaver
Adobe Photoshop
Preferred Qualifications:
SQL Knowledge preferred
Strong communication skills preferred
Required Education:
Bachelor’s degree
