24 часа назад
Sr. Data Analyst, Customer Analytics (Insurance)
84 724 - 120 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Data Analyst, Customer Analytics (Insurance) (SQL/BI/Python): Building customer analytics dashboards, reports, health metrics, and predictive models for an insurance cloud platform with an accent on customer retention, product adoption, churn risk, and operational improvement. Focus on designing scalable analytics workflows, forecasting customer behavior through regression and clustering, monitoring data quality, and translating complex findings into actionable recommendations.
Location: Virtual, USA
Salary: $84,724–$120,000 per year, plus bonus and/or commission eligibility.
Company
provides a cloud platform and AI-powered technology for the insurance economy, supporting insurers, repairers, automakers, and parts suppliers.
What you will do
- Develop customer insights that improve retention, growth, product adoption, operational efficiency, and client satisfaction.
- Design, build, and maintain BI dashboards and reports covering customer health, engagement, adoption, and churn risk.
- Own core dashboards and repeatable analytics deliverables while improving reporting efficiency and insight quality.
- Apply regression, clustering, and predictive modeling to forecast customer behavior.
- Monitor data governance and quality, and automate analytics workflows.
- Partner with Client Success leadership, Product, Sales, and Operations to communicate findings and recommendations.
Requirements
- 5+ years of experience in analytics, business intelligence, or data analyst roles, ideally supporting customer-facing functions.
- Advanced SQL skills and proficiency with Tableau, Power BI, Looker, or similar BI tools.
- Foundation in statistical analysis, including regression, ANOVA, cluster analysis, and factor analysis.
- Python or R experience for data analysis and automation.
- Exceptional communication skills and the ability to translate complex findings into clear narratives.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
Nice to have
- Insurance or insurtech industry experience.
- Experience with dbt, BigQuery, Snowflake, Salesforce, customer health scores, churn models, or adoption analytics.
- Exposure to predictive and prescriptive analytics, AI/ML-assisted analysis, prompt engineering, or agentic AI frameworks.
- Business acumen, ownership, curiosity, collaboration, adaptability, and strong stakeholder translation skills.
Culture & Benefits
- Full-time employment with a customer-focused, innovative, inclusive, and collaborative environment.
- 401(k) match and stock purchase plan options.
- Paid time off and comprehensive health insurance.
- Annual incentive plan performance bonus, tuition reimbursement, adoption assistance, and wellness programs.
- Employee Resource Groups and opportunities for career development and meaningful impact.
Hiring process
- A video interview is required and will be transcribed.
- Generative AI or automated assistance is not permitted during interviews unless explicitly allowed for a specific exercise.
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