Do you want to bring your experience and know how to an organization that is excited to build out their data function? We are adding a Digital Product Analyst to our Product Management team. This person will be the team’s data expert and inform product strategy and decision making through holistic data integration, objective data analysis, and actionable recommendations.
We are looking for an analyst who is passionate about being the voice of the customer to look at data and recommend improvements for our mobile applications. For this position, we need someone who is excited to develop the dashboards, KPI’s, reporting, and analysis. This is a new position for us so be prepared to not only roll up your sleeves and get your hands dirty but also teach us!
In this position, this is some of what you will be accountable for:
Perform ongoing data analysis on the current product line as well as upcoming launches by utilizing tools: Mixpanel, Firebase and Google Analytics.
Translate data into consumable, actionable narratives; regularly update the organization, including senior leadership.
Perform deep-dive analysis on the key drivers of KPI metrics for the department.
Bring forth impactful suggestions for products and features that are rooted in data.
Develop theories that can be explored with analysis to help us improve.
Design split tests, interpret results, and communicate the broader implications.
Build strong relationships with teams across the company to understand business objectives and opportunities.
Regularly audit our current tools and determine improvements to tagging and reporting.
Work closely with the FP&A team to understand the customer flow thru and retention.
Monitor and analyze performance through dashboards and provide strategic optimization recommendations.
So…what does it take?
We are looking for someone with 4 – 6 years of experience organizing, analyzing, and interpreting digital web and mobile data. Because of this you would have a strong background in data analysis and quantitative thinking and be able to provide detailed and accurate reporting. You must have Mixpanel or Google Analytics experience along with an advanced Microsoft Excel skillset. We would love it if you have experience with Optimizely and VWO along with working knowledge or knowledge of R (GNU S), SAS, SQL, SPSS, Python or other data-extraction and analysis tools such as Tableau.
Other Critical Success Factors:
Be detail oriented, self-motivated, and pro-active
An excellent creative problem solver, with a proven ability to successfully manage multiple, disparate streams of work in a challenging, dynamic environment
Excellent planning and organizational skills
Use advanced data visualization techniques to communicate solutions to business stakeholders
Predict and understand customer patterns through metric and statistical analysis
Have the objectivity to tell the right story and not skew for benefit
Highly analytical and driven by finding key insights from complex data sets
Proven ability to execute and promote continuous improvement and to immediately add value to the team
Superior verbal and written communication skills
Committed to company mission and customers’ needs
Communicates thoughts and expresses ideas effectively individually and in a group setting
Demonstrates a high level of dependability in a team environment with an ability to gracefully shift priorities to accommodate business requests
Who We Are:
Outlook Amusements, Inc. is not your average company in a ‘ho-hum’ industry. We are a family of brands dedicated to developing technology and building connections that enable peace of mind. Our team connects top-ranked premier personal advisors with people world-wide looking to gain self-awareness and a clear life-path direction. We are passionate champions of our customers’ needs, our advisors’ talents and our team members’ goals. We believe that every connection is an opportunity to empower the individual to reach their full life potential. Our Mission is to be a positive force in people’s lives, and we live it every day. We touch 1000’s of customers each month who seek guidance, insights, direction and reassurance in their lives across our three brands: California Psychics, Psychic Encounters, and the in-culture Spanish language brand, Conexiones Psiquicas. This position is in our Company’s corporate headquarters in Burbank, California.
What You Get:
When you join Outlook Amusements you get a warm welcoming environment in which each person you meet is interested in your success! Because everyone at Outlook knows that your success is our success and you make a difference! You'll be part of a team that is serious about business, focused on our customers, and knows how to have fun too! Because we care about the whole you, we offer GROW, our Total Well-Being program, designed to offer convenient opportunities for your personal growth and development. Our comprehensive employee benefits package has been carefully designed to meet your health, financial and retirement wellbeing objectives, including medical, dental, vision, a 401k with a company match, additional add-on insurance plans, paid time off, on-site yoga classes and subsidized memberships to the on-site gym.
Outlook Amusements Inc. is an Equal Opportunity Employer. It does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, or any other characteristic protected by applicable state or federal civil rights laws.
Apr 05, 2019
Full-time
Do you want to bring your experience and know how to an organization that is excited to build out their data function? We are adding a Digital Product Analyst to our Product Management team. This person will be the team’s data expert and inform product strategy and decision making through holistic data integration, objective data analysis, and actionable recommendations.
We are looking for an analyst who is passionate about being the voice of the customer to look at data and recommend improvements for our mobile applications. For this position, we need someone who is excited to develop the dashboards, KPI’s, reporting, and analysis. This is a new position for us so be prepared to not only roll up your sleeves and get your hands dirty but also teach us!
In this position, this is some of what you will be accountable for:
Perform ongoing data analysis on the current product line as well as upcoming launches by utilizing tools: Mixpanel, Firebase and Google Analytics.
Translate data into consumable, actionable narratives; regularly update the organization, including senior leadership.
Perform deep-dive analysis on the key drivers of KPI metrics for the department.
Bring forth impactful suggestions for products and features that are rooted in data.
Develop theories that can be explored with analysis to help us improve.
Design split tests, interpret results, and communicate the broader implications.
Build strong relationships with teams across the company to understand business objectives and opportunities.
Regularly audit our current tools and determine improvements to tagging and reporting.
Work closely with the FP&A team to understand the customer flow thru and retention.
Monitor and analyze performance through dashboards and provide strategic optimization recommendations.
So…what does it take?
We are looking for someone with 4 – 6 years of experience organizing, analyzing, and interpreting digital web and mobile data. Because of this you would have a strong background in data analysis and quantitative thinking and be able to provide detailed and accurate reporting. You must have Mixpanel or Google Analytics experience along with an advanced Microsoft Excel skillset. We would love it if you have experience with Optimizely and VWO along with working knowledge or knowledge of R (GNU S), SAS, SQL, SPSS, Python or other data-extraction and analysis tools such as Tableau.
Other Critical Success Factors:
Be detail oriented, self-motivated, and pro-active
An excellent creative problem solver, with a proven ability to successfully manage multiple, disparate streams of work in a challenging, dynamic environment
Excellent planning and organizational skills
Use advanced data visualization techniques to communicate solutions to business stakeholders
Predict and understand customer patterns through metric and statistical analysis
Have the objectivity to tell the right story and not skew for benefit
Highly analytical and driven by finding key insights from complex data sets
Proven ability to execute and promote continuous improvement and to immediately add value to the team
Superior verbal and written communication skills
Committed to company mission and customers’ needs
Communicates thoughts and expresses ideas effectively individually and in a group setting
Demonstrates a high level of dependability in a team environment with an ability to gracefully shift priorities to accommodate business requests
Who We Are:
Outlook Amusements, Inc. is not your average company in a ‘ho-hum’ industry. We are a family of brands dedicated to developing technology and building connections that enable peace of mind. Our team connects top-ranked premier personal advisors with people world-wide looking to gain self-awareness and a clear life-path direction. We are passionate champions of our customers’ needs, our advisors’ talents and our team members’ goals. We believe that every connection is an opportunity to empower the individual to reach their full life potential. Our Mission is to be a positive force in people’s lives, and we live it every day. We touch 1000’s of customers each month who seek guidance, insights, direction and reassurance in their lives across our three brands: California Psychics, Psychic Encounters, and the in-culture Spanish language brand, Conexiones Psiquicas. This position is in our Company’s corporate headquarters in Burbank, California.
What You Get:
When you join Outlook Amusements you get a warm welcoming environment in which each person you meet is interested in your success! Because everyone at Outlook knows that your success is our success and you make a difference! You'll be part of a team that is serious about business, focused on our customers, and knows how to have fun too! Because we care about the whole you, we offer GROW, our Total Well-Being program, designed to offer convenient opportunities for your personal growth and development. Our comprehensive employee benefits package has been carefully designed to meet your health, financial and retirement wellbeing objectives, including medical, dental, vision, a 401k with a company match, additional add-on insurance plans, paid time off, on-site yoga classes and subsidized memberships to the on-site gym.
Outlook Amusements Inc. is an Equal Opportunity Employer. It does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation, or any other characteristic protected by applicable state or federal civil rights laws.
Williams College is pleased to announce the opening for a Data Analytics Director . The Data Analytics Director supports the Office of College Relations (OCR), interpreting data to provide actionable insight to inform business decisions for all departments within OCR. As part of the Advancement Operations team, the Director will design dashboards and other visualizations in addition to answering questions that can only be answered with a 'deep dive' into the data. Williams is committed to enriching its educational experience and its culture through the diversity of its faculty and staff. Our expectation is that the successful candidate will excel at working in a community that is broadly diverse with regard to race, ethnicity, socioeconomic status, gender, nationality, sexual orientation, and religion. Applicants should highlight relevant experience with building, working with, and supporting a broadly diverse employee community.
Responsibilities
Reporting to the Associate Vice President for Advancement Operations, the Director is responsible for data analytics using statistical methods and models to generate graphs, charts, heat maps, and other visualizations to assist end users in understanding the meaning behind the data. In addition, the Director will be responsible for writing and validating complex SQL queries for data mining, design dashboards and clear indicators to communicate complex ideas to leadership, and develop specifications and proposed layouts in partnership with end users. Collaborating with other teams within the Office of College Relations, the Director will work to achieve the highest level of data quality to build and sustain confidence in the reporting and visualization end products.
Qualifications
Bachelor's degree in Mathematics, Computer Science, Data Science, Information Science, or Statistics, with a minimum of two years technical experience in an office environment; or an equivalent combination of education and experience
Innovative, energetic, flexible, and highly organized
Operates most efficiently in a collaborative, team-oriented environment
Experience with tools such as Tableau, R, or PowerBI preferred
Technical expertise creating models to forecast trends and in data mining and segmentation techniques
Demonstrated experience handling large and complex data sets
Experience with creating data warehouses (lakes, streams, etc.) preferred
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) a plus
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at data visualization and analysis in addition to writing queries, report writing, and presenting findings
Strong attention to detail, ability to work in a team environment, and ability to manage multiple concurrent projects
Strong written and verbal communication skills
Review of applications will begin April 29, 2019 and continue until the position is filled. Employment at Williams is contingent on the verification of background information submitted by the applicant, including the completion of a criminal record check, and education when applicable. Beyond meeting fully its legal obligations for non-discrimination, Williams College is committed to building a diverse and inclusive community where members from all backgrounds can live, learn, and thrive. PI109039250
Apr 05, 2019
Full-time
Williams College is pleased to announce the opening for a Data Analytics Director . The Data Analytics Director supports the Office of College Relations (OCR), interpreting data to provide actionable insight to inform business decisions for all departments within OCR. As part of the Advancement Operations team, the Director will design dashboards and other visualizations in addition to answering questions that can only be answered with a 'deep dive' into the data. Williams is committed to enriching its educational experience and its culture through the diversity of its faculty and staff. Our expectation is that the successful candidate will excel at working in a community that is broadly diverse with regard to race, ethnicity, socioeconomic status, gender, nationality, sexual orientation, and religion. Applicants should highlight relevant experience with building, working with, and supporting a broadly diverse employee community.
Responsibilities
Reporting to the Associate Vice President for Advancement Operations, the Director is responsible for data analytics using statistical methods and models to generate graphs, charts, heat maps, and other visualizations to assist end users in understanding the meaning behind the data. In addition, the Director will be responsible for writing and validating complex SQL queries for data mining, design dashboards and clear indicators to communicate complex ideas to leadership, and develop specifications and proposed layouts in partnership with end users. Collaborating with other teams within the Office of College Relations, the Director will work to achieve the highest level of data quality to build and sustain confidence in the reporting and visualization end products.
Qualifications
Bachelor's degree in Mathematics, Computer Science, Data Science, Information Science, or Statistics, with a minimum of two years technical experience in an office environment; or an equivalent combination of education and experience
Innovative, energetic, flexible, and highly organized
Operates most efficiently in a collaborative, team-oriented environment
Experience with tools such as Tableau, R, or PowerBI preferred
Technical expertise creating models to forecast trends and in data mining and segmentation techniques
Demonstrated experience handling large and complex data sets
Experience with creating data warehouses (lakes, streams, etc.) preferred
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc.) a plus
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at data visualization and analysis in addition to writing queries, report writing, and presenting findings
Strong attention to detail, ability to work in a team environment, and ability to manage multiple concurrent projects
Strong written and verbal communication skills
Review of applications will begin April 29, 2019 and continue until the position is filled. Employment at Williams is contingent on the verification of background information submitted by the applicant, including the completion of a criminal record check, and education when applicable. Beyond meeting fully its legal obligations for non-discrimination, Williams College is committed to building a diverse and inclusive community where members from all backgrounds can live, learn, and thrive. PI109039250
Farmers Insurance, a premier US property and casualty insurer, seeks talented individuals to join the Personal Lines group at Farmers. Members of the Personal Lines team work together to achieve our goals of:
Profitable growth,
Improved competitive position,
Use of cutting edge methods and forward thinking in development of new products,
Maintenance of existing products with a fresh and ever-evolving point of view
Each of these goals supports Farmers’ overall mission of instilling confidence, security, and peace of mind in our customers by helping them get smart about insurance, plan for potential risk, and quickly restore their lives after a loss.
Research & Development
Roles in Personal Lines Research & Development offer an exciting combination of research projects and business problems. We use an eclectic mix of modeling approaches to build industry-leading risk pricing models, measure performance, and inform strategy. Such techniques include generalized linear models, neural networks, decision trees, finite mixture models, cluster analysis, factor analysis, and multivariate statistical analysis.
Modelers can expect to:
Join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use
Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning)
Dig in by extracting data and performing segmentation and statistical analyses on large datasets (using languages/tools such as R, SAS, SQL, Hadoop and Python)
Collaborate with internal and external partners to deliver innovative analytical products, solutions, and insights
Assist with research and implementation of technology using machine learning and artificial intelligence techniques
Train/coach team members/peers and actively share expertise
Identify approaches and tools that can bring efficiencies or needed techniques to the team
Communicate/present findings to R&D staff as well as business partners
Requirements
Master’s Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics
Advanced proficiency in one or more statistical programming languages such as SAS, Python, R, etc.
Proven aptitude and demonstrated interest in statistical modeling techniques such as linear regression, logistic regression, GLM, etc.
Robust analytical, critical thinking, and creative problem solving skills
Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences
Proficiency with data visualization and graphics tools such as Tableau for the creation of reports and dashboards is a plus.
2 to 5 years of professional analytical modeling experience, solving problems relevant to the insurance industry is desired, but not required.
S ponsorship is available for this position for candidates who already possess their H1B visa.
This position is available in either Wilmington, DE or Independence, OH.
Mar 29, 2019
Full-time
Farmers Insurance, a premier US property and casualty insurer, seeks talented individuals to join the Personal Lines group at Farmers. Members of the Personal Lines team work together to achieve our goals of:
Profitable growth,
Improved competitive position,
Use of cutting edge methods and forward thinking in development of new products,
Maintenance of existing products with a fresh and ever-evolving point of view
Each of these goals supports Farmers’ overall mission of instilling confidence, security, and peace of mind in our customers by helping them get smart about insurance, plan for potential risk, and quickly restore their lives after a loss.
Research & Development
Roles in Personal Lines Research & Development offer an exciting combination of research projects and business problems. We use an eclectic mix of modeling approaches to build industry-leading risk pricing models, measure performance, and inform strategy. Such techniques include generalized linear models, neural networks, decision trees, finite mixture models, cluster analysis, factor analysis, and multivariate statistical analysis.
Modelers can expect to:
Join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use
Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques (such as segmentation, regression, survival analysis, principal component analysis, scenario and sensitivity analysis, neural networks, and machine learning)
Dig in by extracting data and performing segmentation and statistical analyses on large datasets (using languages/tools such as R, SAS, SQL, Hadoop and Python)
Collaborate with internal and external partners to deliver innovative analytical products, solutions, and insights
Assist with research and implementation of technology using machine learning and artificial intelligence techniques
Train/coach team members/peers and actively share expertise
Identify approaches and tools that can bring efficiencies or needed techniques to the team
Communicate/present findings to R&D staff as well as business partners
Requirements
Master’s Degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics
Advanced proficiency in one or more statistical programming languages such as SAS, Python, R, etc.
Proven aptitude and demonstrated interest in statistical modeling techniques such as linear regression, logistic regression, GLM, etc.
Robust analytical, critical thinking, and creative problem solving skills
Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
Solid written and verbal communication skills with the ability to clearly articulate ideas to both technical and non-technical audiences
Proficiency with data visualization and graphics tools such as Tableau for the creation of reports and dashboards is a plus.
2 to 5 years of professional analytical modeling experience, solving problems relevant to the insurance industry is desired, but not required.
S ponsorship is available for this position for candidates who already possess their H1B visa.
This position is available in either Wilmington, DE or Independence, OH.
East Tennessee State University
Johnson City, TN, USA
The Department of Health Services Management and Policy at the East Tennessee State University (ETSU) College of Public Health is recruiting for three full-time Research Associates to support and advance its growing research programs. These faculty positions are funded by a multi-year research grant focused on reducing unintended pregnancy and expanding access to reproductive health services. The successful candidates will be responsible for leading and collaborating on data analyses across multiple research projects; development and implementation of analytic strategy; management of large datasets; the application of appropriate statistical methods; interpretation of findings; and maintaining effective communication with project leaders and key partners. These positions will contribute to research planning, manuscript and report drafting, and dissemination of findings. Successful candidates will work collaboratively with an interdisciplinary team of investigators, staff, and research assistants. Priority will be given to candidates with demonstrated skills and experience analyzing claims data, survey data, and/or administrative data.
Knowledge, Skills and Abilities
Knowledge and experience in quantitative research and evaluation methodologies for the social sciences.
Demonstrated ability to use SAS, STATA, or R statistical software packages for data management and analysis.
Demonstrated ability to apply appropriate statistical methods for complex research designs involving cross-sectional and/or longitudinal data.
Knowledge of relational database management systems and SQL programming.
Demonstrated proficiency using computer programs for word processing, presentation, data entry, and data analysis.
Demonstrated ability to manage large datasets with data management best practice methods.
Demonstrated proficiency in scientific and technical writing and program evaluation.
Ability to work independently.
Ability to prepare manuscripts and evaluation reports for publication and dissemination.
Ability to coordinate multiple resources and tasks.
Possess strong interpersonal and verbal communication skills.
Ability to work productively with multiple audiences including faculty, staff, and students.
Demonstrated ability to work as an essential member of a highly functioning and diverse research team.
Required Qualifications
(1) Doctoral degree in public health/social sciences, statistics or a related field, or, Master’s degree with 1 – 3 years of work experience applying quantitative research methods; (2) training in research methodology, statistical analysis and scientific writing.
Preferred Qualifications
Three or more years of experience in research project data management and analysis; record of scientific publications; previous experience in a university environment.
AA/EOE
Feb 25, 2019
Full-time
The Department of Health Services Management and Policy at the East Tennessee State University (ETSU) College of Public Health is recruiting for three full-time Research Associates to support and advance its growing research programs. These faculty positions are funded by a multi-year research grant focused on reducing unintended pregnancy and expanding access to reproductive health services. The successful candidates will be responsible for leading and collaborating on data analyses across multiple research projects; development and implementation of analytic strategy; management of large datasets; the application of appropriate statistical methods; interpretation of findings; and maintaining effective communication with project leaders and key partners. These positions will contribute to research planning, manuscript and report drafting, and dissemination of findings. Successful candidates will work collaboratively with an interdisciplinary team of investigators, staff, and research assistants. Priority will be given to candidates with demonstrated skills and experience analyzing claims data, survey data, and/or administrative data.
Knowledge, Skills and Abilities
Knowledge and experience in quantitative research and evaluation methodologies for the social sciences.
Demonstrated ability to use SAS, STATA, or R statistical software packages for data management and analysis.
Demonstrated ability to apply appropriate statistical methods for complex research designs involving cross-sectional and/or longitudinal data.
Knowledge of relational database management systems and SQL programming.
Demonstrated proficiency using computer programs for word processing, presentation, data entry, and data analysis.
Demonstrated ability to manage large datasets with data management best practice methods.
Demonstrated proficiency in scientific and technical writing and program evaluation.
Ability to work independently.
Ability to prepare manuscripts and evaluation reports for publication and dissemination.
Ability to coordinate multiple resources and tasks.
Possess strong interpersonal and verbal communication skills.
Ability to work productively with multiple audiences including faculty, staff, and students.
Demonstrated ability to work as an essential member of a highly functioning and diverse research team.
Required Qualifications
(1) Doctoral degree in public health/social sciences, statistics or a related field, or, Master’s degree with 1 – 3 years of work experience applying quantitative research methods; (2) training in research methodology, statistical analysis and scientific writing.
Preferred Qualifications
Three or more years of experience in research project data management and analysis; record of scientific publications; previous experience in a university environment.
AA/EOE
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Associate Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Digital Analytics and does not have direct reports.
Responsibilities:
The Associate Digital Analyst’s key responsibilities include, but are not limited to, the following:
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel.
Generate insight from site data and communicate opportunities or issues.
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements.
Work with implementation specialists to validate website and app tracking.
Design effective and impactful reports and visualizations for business and technical audiences.
Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis.
Create presentations to highlight analysis and tell the story.
Basic Qualifications:
The Associate Digital Analyst’s required qualifications include:
Ability to derive actionable insights from data and effectively guide decision-making.
Ability to manage multiple priorities in a fast-paced, complex business environment
Excellent written and verbal communication skills.
Proactive problem-solving and critical thinking skills.
Ability to manage time effectively and consistently meet deadlines.
Proficient in Microsoft Office suite.
Familiarity with digital analytics tools and practices
Preferred Qualifications:
The Associate Digital Analyst’s preferred qualifications include:
2+ years relevant work experience in an analytical field.
1+ years of experience with digital analytics tools such as Adobe SiteCatalyst or Google Analytics.
Travel industry and ecommerce experience.
Experience with A/B testing and website optimization.
Experience with Adobe SDK and app tagging.
Ability to apply statistical rigor to analyses.
Knowledge of web page construction and/or user experience design.
Experience with business intelligence tools.
Experience with SQL, Hive, SAS and/or other programming languages.
Required Education:
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education:
Master’s degree in an analytical/quantitative field or equivalent work experience.
Apr 13, 2019
Full-time
“It takes people to make the dream a reality.” Walt was on to something when he said that, and it continues to ring true today. No matter the stage in your career, being a part of Walt Disney Parks & Resorts means being a part of a team where you help bring innovation to life through unsurpassed products, services and most importantly remarkable experiences. As a Cast Member you are the steward and connection to our legacy and the backbone of our thriving innovations. Join our team and watch your dreams come true. Consumer Insights, Measurement, & Analytics (CIMA), part of the Walt Disney Parks and Resorts Global Marketing & Sales organization, informs strategy development and decision-making through holistic data integration, objective data analytics, and actionable recommendations. Within CIMA, the Digital Analytics team is focused on leveraging best practices in web analytics to capture data, perform analysis and optimize our websites to drive Guest satisfaction and business outcomes. The Associate Digital Analyst must possess a passion for analytics and digital technology. He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization. The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, preparing reports, and communicating insights to a variety of audiences. The position reports to the Manager, Digital Analytics and does not have direct reports.
Responsibilities:
The Associate Digital Analyst’s key responsibilities include, but are not limited to, the following:
Manage the compilation and dissemination of regular (e.g. weekly, monthly, quarterly, etc.) reports on performance of the digital channel.
Generate insight from site data and communicate opportunities or issues.
Collaborate with business, technology and analytics partners to determine needs and assist with defining data collection requirements.
Work with implementation specialists to validate website and app tracking.
Design effective and impactful reports and visualizations for business and technical audiences.
Support business unit teams, product management groups and other teams with ad-hoc reporting and in-depth website analysis.
Create presentations to highlight analysis and tell the story.
Basic Qualifications:
The Associate Digital Analyst’s required qualifications include:
Ability to derive actionable insights from data and effectively guide decision-making.
Ability to manage multiple priorities in a fast-paced, complex business environment
Excellent written and verbal communication skills.
Proactive problem-solving and critical thinking skills.
Ability to manage time effectively and consistently meet deadlines.
Proficient in Microsoft Office suite.
Familiarity with digital analytics tools and practices
Preferred Qualifications:
The Associate Digital Analyst’s preferred qualifications include:
2+ years relevant work experience in an analytical field.
1+ years of experience with digital analytics tools such as Adobe SiteCatalyst or Google Analytics.
Travel industry and ecommerce experience.
Experience with A/B testing and website optimization.
Experience with Adobe SDK and app tagging.
Ability to apply statistical rigor to analyses.
Knowledge of web page construction and/or user experience design.
Experience with business intelligence tools.
Experience with SQL, Hive, SAS and/or other programming languages.
Required Education:
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc.
Preferred Education:
Master’s degree in an analytical/quantitative field or equivalent work experience.
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
Feb 01, 2019
Full-time
At eBay, you will be part of a purpose driven community dedicated to creating a bold and versatile work environment. In eBay Payments, you will be an integral member of a growing organization that inspires passion, courage and inventiveness - creating the future of global commerce and making an important, positive impact on millions of eBay sellers and shoppers around the world. If you are looking for a special place to take your Payments career to the next level, we want to talk with you!
Risk Management is at the core of Payments done well – and we are hiring curious, driven, and courageous experts to transform our business unit to enable eBay's next generation Payments strategy. Our focus is to ensure the integrity of our marketplace for buyers and sellers who transact with us every single day. The scope of our charter includes Risk Management Strategy, Policy, Decision Sciences, and Policy Operations.
We are looking for a highly talented and self-motivated data scientist to join our Decision Science team. Decision Science contains both data scientists and software engineers responsible for creating and implementing state of the art machine learning algorithms for fraud detection and risk assessment in support of Risk Management. The primary responsibility of this role is to assist in algorithm development inside of a high throughput, low latency, big data environment.
Primary Job Responsibilities
The data scientist will support the risk department, leveraging big data technologies to aggregate and structure data, perform statistical analysis, and build algorithmic solutions to reduce fraud, monitor our buyers and sellers, and intermediate payments to improve the overall eBay experience.
You will mine and analyze massive amount of unique internal and external data to gain deep business knowledge and insight on customer activity and usage behaviors and their relationships with fraud, credit risks, and other types of behaviors.
Acts as the technical owner of projects that may require significant customization of existing analytic tools, techniques, processes or development of new ones.
Perform statistical data analysis and understanding, ensure data quality, and develop tracking and reporting systems to determine the effectiveness of models, rules, and other risk initiatives and programs.
Design and create systems to structure, aggregate, and turn petabytes of messy information into statistically significant features for modeling purposes.
Problem sets are focused around fraud and risk management to include models to prevent fraudsters from listing and monetizing on the platform, thwarting registration attacks, and risk scoring our customers.
Required Skills and Experience
Bachelor’s degree in a quantitative field, MS/PHD preferred
Entry to mid level role.
Experience in SQL, relational databases
Experience with Big Data technology: Hadoop framework: Hive, Spark, etc. a plus
Expertise in machine learning packages Python, R,SAS
Strong knowledge of 1 or more scripting and programming languages (Python, Java, Scala, etc.)
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP
Strong analytical skills with good problem solving ability
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us. We will make every effort to respond to your request for disability assistance as soon as possible.
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Feb 01, 2019
Full-time
This position is within the Global Insights and Analytics (GIA) team - the heart of Intel's central market research and insights function that supports the Global Marketing and Communication (GMC) group and Intel's Business Units (BUs). Emphasis of this position is on driving data driven culture into Intel's marketing efforts and integrating analytics driven insights into decision making by combining behavioral data (i.e. web behavior, social media listening, search, telemetry) with traditional primary research data (i.e. survey-based data, focus groups) and other types of data (i.e. sales, media spend).
This individual contributor Marketing Data Scientist position will assist business with insights based on finding patterns and relationships in data. This position requires experience with predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structured and unstructured data. We are seeking someone who has a strong business understanding in order to translate data into intelligence, solve a variety of business problems and enable marketing strategy.
Qualifications
Minimum Qualifications:
Bachelor’s Degree in in Statistics, Mathematics, Economics, Computer Science, Data Science or Engineering (Masters Degree is a plus).
Minimum 4 years of experience in marketing, sales or business analytics.
Experience with data mining software packages such as R, PYTHON, SAS, SPLUS.
SQL and statistical algorithms and modeling.
Experience working with large and complex data sets.
Experience in predictive modeling and machine learning algorithms.
Additional Preferred Characteristics:
Effective presentation/communication skills and the ability to interpret and simplify data for others.
Communicate conclusions in a clear and sharp manner.
Work well independently as well as part of a broad team.
Innovative attitude and out-of-the-box thinking.
Curious and inspired by challenges. A keen interest in innovation and breaking new ground for Intel.
Inside this Business Group
Global Marketing & Communications is responsible for Intel's brand management, end-user product marketing and go-to-market activation strategy for direct and indirect marketing programs worldwide.
Other Locations
US, California, Santa Clara
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Feb 01, 2019
Full-time
This position is for a research scientist in the Assembly and Test Technology Automation organization.
Specific responsibilities of the individual would be to:
Developing innovative manufacturing systems solutions that are strategic and revolutionary in nature with a high degree of impact to Intel.
Developing proof of concepts and initial pilots utilizing novel sensors (IoT), data mining and machine learning methods to solve novel and diverse manufacturing problems related to targeting a fully automated manufacturing environment.
The individual is expected to work over a wide array of advanced manufacturing initiatives such as stochastic scheduling solutions, deep networks applications ranging from image processing to reinforcement learning, process modeling and control.
Stay current with the latest developments in industry and academia in the field of advanced manufacturing
Drive development of novel ideas and results that would result in patents and publications
Qualifications:
PhD in the field of Electrical Engineering, Computer Science, Industrial Engineering, Operations Research, Mechanical Engineering, or Statistics
Expert in the field of applying optimization, data modeling and machine learning to solve technical problems
Must have software development experience with scripting languages and software platforms related to advanced statistics, optimization, data mining/machine learning and visualization (ex. SQL, SAS, JMP, R, Python, CPLEX, C++)
Knowledge of and experience with open source machine learning frameworks
Experience in design and implementation of advanced analytical applications using complex algorithms and solving real life problems in manufacturing
Thesis or research experience in topics related to analytical problems in areas such as data mining, pattern recognition, optimization, data-driven prognostics, fault diagnostics, artificial intelligence or machine learning.
Strong oral and written communication skills
Other strongly desired characteristics:
Ability to influence across organizations, proven collaboration skills, comfortable working with a very high degree of ambiguity, ability to make quick, informed decisions taking into account trade-offs
Individual should be able to quickly learn and master different aspects of Intel's business to deliver coherent value, and is expected to continuously learn new areas of strategic research that would be impactful to manufacturing
Exceptional attention to details and organizational skills
Inside this Business Group
As the world's largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Overview
Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization.
An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions.
Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization.
Responsibilities
Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action
Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives
Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC
Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections
Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans
Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth
Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions.
Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences
Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team
Qualifications
Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred.
10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred.
5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally.
Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment.
Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools
Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus.
Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView.
Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus.
Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Feb 01, 2019
Full-time
Overview
Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization.
An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions.
Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization.
Responsibilities
Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action
Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives
Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC
Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections
Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans
Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth
Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions.
Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences
Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team
Qualifications
Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred.
10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred.
5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally.
Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment.
Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools
Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus.
Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView.
Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus.
Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
