29 jobs found

Overview Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning. Benefits Competitive Salary + Bonus Medical, Dental, and Vision Insurance Life Insurance 401k with Employer Match On-site Gym Downtown location near diverse mix of restaurants, amenities, etc. Parking and Cell Phone Stipend Employee Self-Service Portal with Specialized Perks Volunteer / Philanthropic Opportunities Responsibilities Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy. Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems. Define and scope related project tasks, goals and deliverables with proper timelines and schedule.  Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems. Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights. Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.  Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change. Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction. Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi). Assist with administering the company SharePoint environment. Support a series of data governance activities for the enterprise. Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports. Performs other duties as reasonably requested. Qualitative Skills Able to translate strategic business requirements into specific detailed technical requirements and tasks. Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture. Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands. Able to project manage, prioritize activities, and diligently adhere to project deadlines Strong communication / organization skills, research capabilities, and experience working with cross-functional teams. Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation. 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 Fanatical attention to detail and is process-oriented, methodical, and systematic. Experience in an investment management or real estate organization is strongly preferred. Quantitative Skills Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling). Experience in IT controls and data governance practices desired. Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus. One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience. Quantitative educational background with professional data analytics experience. Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI Proficiency with a statistical analysis tool such as R and/or Python Machine Learning experience strongly desired Education Required Education Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.  Preferred Education Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field

Job Description — Senior Machine Learning Engineer Reports To: Senior Director of Product Strategy OVERVIEW: Sub Rosa is a strategy and design practice headquartered in New York’s West Village. We create strategies and solutions that empower leaders and evolve organizations. Our work is grounded in Applied Empathy, a methodology created by Sub Rosa that brings insights and action together to drive change. Sub Rosa’s innovation group is developing a high impact solution that will analyze millions of data points to provide a comprehensive analysis on audience behaviors. From unstructured text, images, and documents from multiple data sources, the Sub Rosa innovation team is working to deliver a solution using the full range of Machine Learning (ML) techniques including but not limited to supervised learning, computer vision, deep learning and online learning. Sub Rosa is looking for a Machine Learning Engineer with an academic or practical background in machine learning, ideally with experience in algorithm design and selection, natural language processing (NLP), and unsupervised clustering algorithms. Sub Rosa’s Innovation Group hosts a team of creative, tenacious, and extremely bright individuals tasked with building a one of a kind solution that pushes the boundaries of existing AI based technologies. If you’re looking for a challenge and are desirous to buck the status quo, come join our team. RESPONSIBILITIES: You will work with the team to design, code, train, test, deploy and iterate on large scale machine learning systems You will build delightful products and experiences for Fortune 1000 clients, while working alongside an excellent, multi-functional, collaborative team across Engineering, Product and Design You will help craft the direction of machine learning and artificial intelligence at Sub Rosa REQUIREMENTS: BS and/or MS in Computer Science or a related technical field involving Machine Learning, or equivalent technical experience 5+ years of experience building machine learning or AI systems Strong analytical and problem-solving skills Strong programming skills in Python or equivalent Experience with machine learning software packages (e.g. scikit-learn, Weka, TensorFlow, Caffe, Theano, Torch) Experience in algorithm design, selection and verification Experience with unsupervised clustering algorithms (e.g. agglomerative hierarchical clustering, k-means clustering, DBSCAN, autoencoders, etc.) Preference in working in a collaborative team environment DESIRED QUALIFICATIONS: PhD/Doctorate in Computer Science or related field with research in machine learning Experience with natural language processing (NLP) and natural language generation (NLG), especially with unstructured text APPLICATION PROCESS: If interested, please provide an up to date resume and link to your GitHub or equivalent account for review. *Disclaimer All candidates that apply are requested to take a mandatory HackerRank test online and provide up to two references. 

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.

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

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

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.

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

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