Staff Analyst
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Key details
- Location
- United States
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Experience
- 7–10 yrs
- Function
- Operations & Strategy
- Focus area
- other
- Posted
- 21h ago
Skills
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Analyst based in the United States.
As a Staff Analyst, you will play a strategic role in shaping customer experience and driving business performance through advanced analytics and data-driven decision-making. You will own the analytical strategy for the Customer Experience domain, covering the entire policyholder journey, from onboarding and billing to retention and cancellations. Acting as the analytical subject matter expert for customer retention, you will identify business opportunities, anticipate emerging risks, and translate complex data into actionable recommendations. You will collaborate closely with Product, Engineering, Data Science, and Operations teams to influence strategic priorities and product roadmaps. This role combines hands-on analytical expertise, strategic thinking, and executive-level communication within an innovative, technology-driven insurance environment.
Accountabilities
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Customer Experience Analytics: Own the analytics strategy for the Customer Experience domain, developing key performance indicators, analytical frameworks, monitoring systems, and business insights across onboarding, policy servicing, billing, payments, cancellations, and other critical customer interactions.
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Customer Retention Strategy: Serve as the analytical subject matter expert for policyholder retention. Monitor retention performance, identify key drivers of customer behavior, anticipate emerging risks, quantify improvement opportunities, and provide strategic insights to senior and executive leadership.
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Analytics Roadmap & Prioritization: Define and maintain the domain analytics roadmap by identifying high-impact business opportunities, anticipating future analytical needs, and evaluating initiatives based on business value, learning potential, risks, costs, and dependencies.
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Strategic Decision Support: Translate complex and ambiguous business challenges into structured analytical problems. Develop strategic alternatives, conduct impact assessments and scenario analyses, and provide evidence-based recommendations to support business decisions.
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Experimentation & Measurement: Partner with Product and Engineering teams to design and implement measurement strategies for customer-facing initiatives. Define hypotheses, success metrics, guardrails, and instrumentation, and apply appropriate experimental or observational methods to evaluate outcomes.
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Cross-Functional Collaboration: Work closely with Product, Engineering, Data Science, Operations, and other stakeholders to align priorities, communicate analytical findings, and influence strategic decisions. Lead business reviews and presentations while helping teams address analytical challenges and emerging business risks.
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Business Performance Optimization: Evaluate customer experience initiatives, external vendors, and potential partnerships to understand their impact on customer satisfaction, retention, and business performance.
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Analytics Excellence: Develop reusable analytical tools, frameworks, and standards that improve decision-making across the organization. Introduce innovative methodologies, strengthen analytical capabilities, and communicate complex insights effectively to technical teams and executive stakeholders.
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Professional Experience: At least 7 years of experience in Analytics, Decision Science, Product Analytics, Data Science, or another highly quantitative discipline, or equivalent experience demonstrating comparable responsibilities and expertise.
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Strategic Analytics Ownership: Proven experience independently managing analytics for a significant business or product domain, identifying opportunities, structuring complex problems, setting priorities, and influencing strategic roadmaps.
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Technical Expertise: Advanced SQL skills and extensive experience working with large, complex datasets. Proficiency with business intelligence and data visualization platforms such as Tableau, Mode, Power