Senior Data Analyst, Revenue Analytics

At eHealth, our mission is to expertly guide consumers through their health insurance and related options when, where, and how they prefer. We’re creating a better way – one that’s transparent and trustworthy for both our consumers externally and our employees internally. 

Move your career forward while connecting countless people to the life- changing, quality care they deserve. Our diverse team of innovators supports one another in solving some of the toughest challenges. We’re always on the lookout for creative opportunities to do right by our customers, and each other. Together, we’re creating a better way to work, united by our common passion to make a difference.

Role Overview

We are looking for a Senior Data Analyst to join the Revenue Analytics team under eHealth’s CFO. The team runs predictive models to provide quantitative guidance to the Finance organization and overall company. 

The role is responsible for the maintenance and refinement of the Lifetime Value (LTV) prediction models and operationalizing the model into the revenue recognition process with the rest of the Finance team.  The role will also work cross-functionally to provide new insights into customer retention, financial performance and strategic initiatives with strong partnership with business stakeholders and visibility with senior executives.

The ideal candidate has significant capabilities in developing statistical models, recommending data-driven strategies and delivering high-impact learnings.

What you’ll do:

• Refresh and refine the LTV prediction models on a quarterly basis and collaborate with the rest of the Finance team in revenue recognition process and related operations
• Drive cross-functional collaboration with Finance, BI, Product, Data Engineering, Revenue Operations and other Analytics functions on related processes to monitor data quality and LTV related metrics
• Serve as the subject matter expert and advisor for LTV, forecasting the performance of its components including commission, retention, cash, revenue and customer metrics. Address questions from senior leaders and business stakeholders
• Support analytics and data science initiatives focused on customer insights and churn behaviors, providing recommendations to business stakeholders to improve retention metrics
• Partner across Finance team to embed predictive analysis into revenue forecasting, profitability analysis and ongoing performance optimization
• Strengthen strategic decision-making by combining statistical analysis with clear storytelling and impactful visualizations that reveal opportunities for growth and organizational improvement.

• Demonstrate eHealth’s values in your behaviors, practices, and decisions.

Who you are:

• Bachelor’s degree in Mathematics, Statistics, Data Science, Analytics or similar field. Master’s degree preferred
• 3-5 years of progressive roles in advanced analytics or data science
• Deep experience in customer behavioral modeling (LTV, churn, segmentation etc.)
• Strong statistical background and experience with machine learning models including time series, decision tree, segmentation and regression models
• Proficiency in Python or related programming languages. Familiarity with machine learning frameworks such as Scikit-learn.
• Skilled in SQL, Excel, Tableau and data visualization packages in Python/R. Experience incorporating a wide variety of data sets and building automated analytics products
• Strong communicator with the ability to translate complex findings into clear insights for both technical teams and senior leadership audiences.
• Highly organized with advanced project management capabilities; able to manage multiple priorities and deliver under tight.
• Demonstrated ability to own and drive analytics initiatives independently, while partnering effectively with cross-functional and business leaders
• Knowledge of ecommerce, digital marketing, Fintech and Insurtech preferred
• Solid understanding of Finance and Accounting metrics and processes preferred

What we offer:

• Generous benefits include medical, dental and vision beginning on your first day of employment
• 401K with matching
• Tuition reimbursement
• Employee stock purchase program
• 12 company paid holidays and flexible time off (PTO for non-exempt)

*Please note the above is a summary of responsibilities; a full job description is available upon request.

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eHealth is an Equal Employment Opportunity employer. It is our policy to provide equal opportunity to all employees and applicants and to prohibit any discrimination because of race, color, religion, sex, national origin, age, marital status, sexual orientation, genetic information, disability, protected veteran status, or any other consideration made unlawful by applicable federal, state or local laws. The foundation of these policies is our commitment to treat everyone fairly and equally and to have a bias-free work environment.