eHealth, Inc. is dedicated to guiding consumers through their health insurance options with transparency and trust. They are seeking a Data Analyst to join their Revenue Analytics team, responsible for maintaining and refining Lifetime Value prediction models and providing insights into customer retention and financial performance through collaboration with various business stakeholders.
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
Collaborate with cross-functional teams including Finance, BI, Product, Data Engineering, Revenue Operations and other Analytics functions on related processes to monitor data quality and LTV related metrics
Position as the subject matter expert for LTV, forecasting the performance of its components including commission, retention, cash, revenue and customer metrics. Address questions from senior leaders and business stakeholders
Collaborate with other analytics and data science teams to analyze 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
Use statistical analysis, storytelling and data visualizations to guide strategic decisions and uncover opportunities to improve upon organizational goals
Demonstrate eHealth’s values in your behaviors, practices, and decisions.
Qualification
Required
Bachelor’s degree in Mathematics, Statistics, Data Science, Analytics or similar field.
0-3 years of progressive roles in advanced analytics or data science.
Experience with 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.
Proficient in Python or related programming languages.
Familiarity with machine learning frameworks such as Scikit-learn.
Experience with SQL, Excel, Tableau and data visualization packages in Python/R.
Experience incorporating a wide variety of data sets and building automated analytics products.
Excellent collaborator with strong written and verbal communication skills.
Ability to share results with non-technical audience and senior business leaders.
Excellent project management and multitasking skills.
Detail-oriented and able to ensure data quality in a high-pressure environment.
Preferred
Master’s degree preferred.
Knowledge of ecommerce, digital marketing, Fintech and Insurtech preferred.
Knowledge of Finance and Accounting metrics and processes preferred.
Benefits
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)
We’re Matchmakers. For over 25 years, we’ve helped millions of Americans find the healthcare plan that fits their needs at a price they can afford.
