高级分析与洞察分析师
Sr. Analytics & Insights Analyst
加入我们,创造更好的方式!
在eHealth,我们的使命是专业地引导消费者在他们喜欢的时间、地点和方式下,了解他们的健康保险及相关选择。我们正在创造一种更好的方式——对外透明可信,对内尊重员工。
在帮助无数人获得改变生命的优质护理的同时,推动你的职业生涯发展。我们多元化的创新团队相互支持,解决一些最严峻的挑战。我们一直在寻找为客户提供正确服务以及彼此之间正确做事的创意机会。我们团结一致,共同创造一种更好的工作方式,由我们共同的热情驱动,致力于带来改变。
高级分析与洞察分析师将作为跨职能业务领导的关键战略合作伙伴,将复杂的数据转化为推动关键决策的有意义的业务智能。该职位负责领导高影响力的分析项目,优化销售、市场和运营部门的业务表现,并指导初级分析师。
理想的候选人具备深厚的分析专业知识和商业敏锐度,在动态环境中茁壮成长,并能够将数据提炼成清晰的见解和对高管有帮助的建议。
你将负责:
• 领导支持企业级战略重点的分析项目,包括销售业绩优化、客户获取和留存策略,以及渠道归因建模。
• 与业务利益相关者紧密合作,定义分析目标和需求,并将模糊的业务问题转化为结构化、数据驱动的分析。
• 使用统计和预测技术(如回归、聚类、分类、时间序列预测)设计和开发高级分析模型,以评估绩效并指导业务策略。
• 创建和管理KPI仪表盘和报告工具,实时展示营销活动、销售渠道和客户群体的表现。
• 指导初级分析师,审查他们的工作是否具备分析严谨性、清晰度和业务相关性。
• 将大型、复杂的数据集转化为可操作的见解,通过讲故事和可视化方式使用BI工具(如Tableau、Excel)清晰传达发现。
• 与数据工程团队合作,定义符合分析需求的数据架构和数据管道。
查看英文原文
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.
-
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.-
Base Pay Range -$96,100 - $120,100-
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.
Originally posted on Himalayas