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Insurance Data Analyst

Job description

Responsibilities

  • Perform exploratory and advanced data analysis to identify trends, patterns, and insights related to customer behaviour and insurance agency performance.
  • Solve complex business problems across agent performance, customer digital footprints, and policy funneling.
  • Build dashboards and reports to support business decision-making, especially for agency sales and performance management.
  • Work closely with business stakeholders to translate analytical findings into actionable recommendations.
  • Develop data models, automate data pipelines, and ensure data accuracy and integrity for reporting and analytics.
  • Present insights to management teams in a clear and data‑driven manner.
  • Support ongoing data initiatives, including process optimization, predictive modelling, and analytical enhancements.

Requirements

  • 5-7 years of professional experience.
  • Experience in the insurance sector is highly preferred.
  • Hands-on experience with insurance agency reporting is an advantage.
  • Strong proficiency in Python and SQL for data manipulation, modelling, and automation.
  • Experience in data visualization tools such as Power BI.
  • Strong analytical thinking with the ability to interpret complex datasets and articulate insights clearly.
  • Ability to work independently and collaborate with cross-functional teams.
  • Strong communication and stakeholder management skills.