Staff Analyst

New

JobgetherInsurance analytics

Work remotely from anywhere in the United StatesFull-TimeStaff

SalaryAnnual salary ranging from $143,800 to $179,700

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Job Details

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.
Required Skills: PythonSQLMicrosoft Power BITableauProduct AnalyticsR

Have at least 7 years of experience in Analytics, Decision Science, Product Analytics, Data Science, another highly quantitative discipline, or equivalent experience.
Have experience independently managing analytics for a significant business or product domain and influencing strategic roadmaps.
Demonstrate advanced SQL skills and extensive experience working with large, complex datasets.
Have proficiency with Tableau, Mode, Power BI, or equivalent business intelligence and data visualization tools.
Have experience using Python, R, or another analytical programming language for statistical analysis, predictive modeling, automation, or analytical workflows.
Have a deep understanding of experimental design, causal inference, and applied statistics.
Be able to evaluate strategic alternatives, quantify outcomes, develop business cases, and make recommendations in uncertain environments.
Demonstrate ability to lead complex cross-functional initiatives and influence stakeholders without formal authority.
Have strong written and verbal communication skills, including presenting data-driven recommendations to executive audiences.
Experience analyzing customer lifecycle metrics, retention, churn, conversion, payments, or consumer behavior is preferred.
Experience in insurance, fintech, subscription-based businesses, or other transaction-intensive consumer industries is an advantage.

Own analytics strategy for the Customer Experience domain, including KPIs, analytical frameworks, monitoring systems, and insights across customer interactions.
Monitor policyholder retention, identify customer behavior drivers and emerging risks, and quantify improvement opportunities.
Define and maintain the domain analytics roadmap by evaluating opportunities, business value, risks, costs, and dependencies.
Translate complex business challenges into analytical problems, conduct impact assessments and scenario analyses, and recommend strategic alternatives.
Partner with Product and Engineering to define hypotheses, success metrics, guardrails, instrumentation, and measurement strategies for customer-facing initiatives.
Apply experimental or observational methods to evaluate outcomes.
Collaborate with Product, Engineering, Data Science, Operations, and other stakeholders to align priorities and influence decisions.
Lead business reviews and presentations, communicating findings and helping teams address analytical challenges and business risks.
Evaluate customer experience initiatives, vendors, and partnerships for their effects on satisfaction, retention, and business performance.
Develop reusable analytical tools, frameworks, and standards and communicate insights to technical teams and executive stakeholders.

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