About the Role & Team
The Subscriber Lifecycle Analytics team is looking for a Senior Data Analyst to join the Commerce Analytics function supporting global fraud analytics across *** 's streaming ser *** offerings ( *** +, *** , *** +). The Commerce Analytics function partners closely with operational business teams to identify and mitigate fraudulent subscriber behavior as well as run experiments to improve the accuracy of fraud identification capabilities. Our team is responsible for exploratory data analysis, advanced reporting, data modeling and visualizations that drive business decision making. This role will build positive relationships and partner closely with Product, Engineering, and Data Science teams to complete innovative methods and best-in-class practices that power all of our improvements. The team's work will drive the development of business and operational plans that will have broad i *** uence at all levels of the organization.
What You Will Do
- Communicate sophisticated analyses and results to a wide array of business partners with varying technical expertise from operational teams to executive audiences, both in oral presentations and via written reports
- Partner closely with Commerce Product business team members to identify and unlock opportunities to combat global fraud and minimize risk
- Create and maintain operational das *** ards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve tools
- Translate sophisticated business questions into SQL including accurate cohorting, calculations, filtering criteria and/or aggregations
- Understand the systems and business processes that populate critical systems with data
- Partner with Data Science teams to uplevel analyses using clustering/segmentation, regression modeling, and/or predictive modeling
Required Qualifications & Skills
- Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field
- 5+ years of strategic analysis to advise product or business decision making
- 3+ years of hands-on analytical work experience with SQL (ETL ownership, sophisticated transformations, development of "analytical" datasets)
- Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
- Ability to think strategically, analyze and interpret first and third party information
- Experience manipulating large data sets and interpreting data trends using a multitude of disparate data sources and tools
- Expertise with data exploration and data visualization tools like Tableau or Looker
- Strong analytical and technical skills to tackle issues, analyze the cause, quickly come-up with possible solutions, detail the changes, and communicate organizational impact
- Demonstrable experience in detailing the data requirements, data strategy, data rules (standardization, cleansing, and validation)
Preferred Qualifications
- Experience in the global billing, payments, and fraud domains
- Experience in A/B testing or other experimentation
- Experience in the streaming *** industry and/or supporting a direct-to-consumer or subscription-based product
- Experience in the technology industry and knowledge of how to build and implement data products
Education
- Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field
Additional Information
# *** TECH
The hiring range for this position in Santa Monica, CA is $112,600 to $151,000, and in New York, NY is $118,000 to $158,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
About *** Direct to Consumer:
*** 's Direct to Consumer team oversees the *** and *** + streaming businesses within *** Entertainment helping to bring *** 's best-in-class storytelling to fans and families everywhere.
About *** :
*** , together with its subsidiaries and affiliates, is a leading diversified international family entertainment and *** enterprise with the following business segments: *** Entertainment, *** , *** Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, *** proudly continues its legacy of creating world-class stories and experiences for every member of the family. *** 's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with *** Streaming Services LLC , which is part of a business we call *** Direct to Consumer .
*** Streaming Services LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. *** fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
This is not an exclusive Staff Me Up job. This partner requires you to apply on its own site.