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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics & Insights Analyst - **Company:** eHealth, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $62,400.0 - $87,360.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, A/B Testing, Data Analysis, Big Data, Data Architecture, Information Engineering, Data Visualization, Performance Tuning, Data Driven Tests, SQL Databases, Tableau (Software), Information Technology, Tools for Reporting - **Published:** September 5, 2026 - **Apply:** https://www.builtincolorado.com/job/sr-analytics-insights-analyst/11027256?handler=ApplyRedirect ## About the Role * 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. ## Description Leads advanced analytics initiatives supporting sales, marketing, and operations strategy. Develops statistical and predictive models, dashboards, KPI reporting, and customer analyses using large datasets. Partners with stakeholders and data engineering teams to translate business questions into actionable insights, communicates findings to executives, and mentors junior analysts. The summary above was generated by AI 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Would You Buy Your Own HR? 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