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6 часов назад

Sr. Data Analyst, Customer Analytics (Insurance)

84 724 - 120 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Data Analyst, Customer Analytics (Insurance) (SQL/Python/BI): Building customer analytics, health-score, adoption, churn-risk, and reporting capabilities for an insurance technology platform with an accent on advanced statistical analysis, predictive modeling, and actionable client insights. Focus on designing scalable dashboards, forecasting customer behavior, monitoring data quality, and translating complex findings into recommendations for retention, growth, and operational improvement.

Location: Chicago (Green St), Illinois, United States

Salary: $84,724–$120,000 annually, plus bonus and/or commission eligibility.

Company

hirify.global provides a cloud platform with AI-enabled technology for the insurance, vehicle repair, automotive, and parts industries.

What you will do

  • Turn customer data into insights that support 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.
  • Develop advanced analyses using regression, clustering, predictive modeling, ANOVA, factor analysis, and related statistical methods.
  • Monitor data governance and quality while improving reporting efficiency and automating 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.
  • Advanced SQL skills and proficiency with Tableau, Power BI, Looker, or similar BI tools.
  • Experience using Python or R for data analysis and automation.
  • Strong foundation in statistical analysis, including regression, ANOVA, cluster analysis, and factor analysis.
  • 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 or prescriptive analytics, AI/ML-assisted analysis, prompt engineering, or agentic AI frameworks.
  • Business acumen, intellectual curiosity, ownership, collaboration, adaptability, and strong stakeholder judgment.

Culture & Benefits

  • Values include integrity, customer focus, innovation, inclusion and diversity, tenacity, and connection.
  • 401(k) match, paid time off, comprehensive health insurance, and an annual performance bonus.
  • Adoption assistance, tuition reimbursement, wellness programs, stock purchase plan options, and employee resource groups.
  • A video interview is required; interviews are transcribed, and generative AI or automated assistance is not permitted unless explicitly approved for a specific exercise.

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