Senior Data Analyst - Subscriber Lifecycle Analytics

Key Skills

Business Strategy, Data Analytics, Data science techniques, Data Visualization, Effective communication skills, Employee life cycle, ETL frameworks, Finance, Looker, Operations, SDLC, SQL, Tableau

Job Description

What You'll Do

• Communicate complex trends and churn drivers to a wide array of business stakeholders with varying technical expertise from operational teams to executive audiences, both in oral presentations and via written reports

• Partner closely with business stakeholders (Product, Business Operations, Finance, Marketing etc.) to identify and unlock opportunities for improved subscriber retention

• Create and maintain operational dashboards in Tableau and Looker to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve tools

• Translate complex business questions into SQL including proper cohorting, calculations, filtering criteria and/or aggregations

• Partner with Data Science teams to uplevel analyses using clustering/segmentation, regression modeling, and/or predictive modeling

Key Qualifications

• 5+ years of strategic analysis to inform product or business decision making

• 3+ years of hands-on analytical work experience with SQL (ETL ownership, complex 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 troubleshoot issues, analyze the cause, quickly come-up with possible solutions, document the changes, and communicate organizational impact

• Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleansing, and validation)

Nice To Haves

• Experience in the streaming media 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

• Experience presenting data stories to executive audiences

• Experience operating in an SDLC environment and deploying code

Required Education

• Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, Marketing, or related field

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.