Senior Analytics & Insights Analyst

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Logo of eHealth, Inc.

eHealth, Inc.

1001 - 5000 employees

Founded 1997

⚕️ Healthcare Insurance

☁️ SaaS

👥 B2C

💰 Post-IPO Equity on 2021-01

Healthcare Insurance • SaaS • B2C

eHealth, Inc. is a technology and services company that connects individuals with healthcare plans and services. The company provides a platform that helps consumers find, compare, and enroll in health insurance plans including Medicare, individual and family health insurance, small business health insurance, and ancillary plans. eHealth also offers advisory services to help guide customers through the complex process of choosing the right plan for their needs.

📋 Description

• Lead analytical initiatives that support enterprise-level strategic priorities, including sales performance optimization, customer acquisition and retention strategy, and channel attribution modeling. • Partner closely with business stakeholders to define analytical goals and requirements, and translate ambiguous business questions into structured, data driven analysis. • Design and develop advanced analytical models using statistical and predictive techniques (e.g., regression, clustering, classification, time series forecasting) to evaluate performance and inform business strategies. • Create and manage KPI dashboards and reporting tools that provide real-time visibility into the performance of marketing campaigns, sales channels, and customer cohorts. • Mentor junior analysts, reviewing their work for analytical rigor, clarity, and business relevance. • Transform large, complex datasets into actionable insights, clearly communicating findings through storytelling and visualizations using BI tools (e.g., Tableau, Excel).

🎯 Requirements

• Bachelor’s degree in a quantitative or technical field (e.g., Mathematics, Economics, Statistics, Computer Science, Data Science). Master’s degree preferred. • 5+ years of experience in a business analytics role, ideally within a direct-to consumer environment. • Advanced proficiency in SQL, with demonstrated ability to manipulate large datasets, build automated workflows, and conduct statistical analyses. • Strong understanding of statistical methods, experimental design (e.g., A/B testing), and modeling techniques, and ability to apply them to business problems. • Proven experience with BI and data visualization tools such as Tableau and Excel to communicate insights clearly and impactfully. • Excellent verbal and written communication skills, with a demonstrated ability to explain technical findings to non-technical audiences.

🏖️ 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)

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