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eHealth, Inc.

Sr. Analytics & Insights Analyst

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in USA
96K-120K Annually
Senior level
Remote
Hiring Remotely in USA
96K-120K Annually
Senior level
Lead enterprise analytics initiatives across Sales, Marketing, and Operations. Build predictive and statistical models, create KPI dashboards, translate data into executive-ready insights, mentor junior analysts, and partner with stakeholders and data engineering to deliver actionable recommendations that improve acquisition, retention, and channel performance.
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Join us in creating a better way!

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.

The Sr. Analytics & Insights Analyst will serve as a key strategic partner to cross-functional business leaders, translating complex data into meaningful business intelligence that drives critical decision-making. This role is responsible for leading high-impact analytical initiatives, optimizing business performance across Sales, Marketing, and Operations, and mentoring junior analysts.

The ideal candidate combines deep analytical expertise with business acumen, thrives in a dynamic environment, and demonstrates the ability to distill data into clear insights and actionable recommendations for senior executives.

What you'll do:

• 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).

• Collaborate with data engineering teams to define data architecture and pipelines that align with analytical and reporting needs.

• Conduct deep-dive analyses on customer behaviors, product performance, and retention activity effectiveness to uncover trends and provide recommendations.

What you'll bring:

• 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.

Preferred Qualifications:

• Prior experience in the Medicare, ACA Health, or broader health insurance industry.

• Experience with customer retention modeling, lead funnel analysis.

• Excellent verbal and written communication skills, with a demonstrated ability to explain technical findings to non-technical audiences.

• A proactive mindset for mentorship, cross-functional collaboration, and continuous improvement of business outcomes through data.

What we offer (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)

Our Values: At eHealth, our core values guide our work:

  • One Team
  • Customer Centric
  • Innovation
  • Integrity
  • Quality
  • Accountability
  • Relentless
  • Financial Stewardship

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

Application deadline: June 30, 2026.

#LI-Remote

#LI-DC

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The base pay range reflects the anticipated pay range for this position. The actual base pay offered will depend on various factors including individual skills, experience, performance, qualifications, the department budget, and the location where work is performed. Base pay is one component of eHealth’s total rewards package, which also includes an annual performance bonus, plus an array of benefits designed to support employees’ personal and professional wellness. For more information on our total rewards offerings, please visit our career site.

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Base Pay Range -$96,100 - $120,100

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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.

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