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Data Analyst - Insurance

Job in Kimberley, Cranbrook / East Kootenay, BC, Canada
Listing for: Placements24
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 55000 - 90000 CAD Yearly CAD 55000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Kimberley

Our client is seeking a skilled and analytical Data Analyst with a specialization in the insurance sector to join their growing team in Kimberley . This role is essential for extracting valuable insights from large datasets to support strategic decision-making, optimize business processes, and enhance product offerings. You will work closely with various departments, including underwriting, claims, and marketing, to analyze trends, identify opportunities, and report on key performance indicators.

This is an excellent opportunity for a data-driven professional looking to make a significant impact in a key regional hub.

Key Responsibilities
  • Collect, clean, and analyze large datasets related to insurance operations.
  • Develop and maintain dashboards and reports to track key business metrics.
  • Identify trends, patterns, and correlations within data to provide actionable insights.
  • Collaborate with stakeholders to understand data needs and translate them into analytical requirements.
  • Utilize statistical techniques and data visualization tools to present findings.
  • Support the development of predictive models for areas such as customer behavior and risk assessment.
  • Ensure data accuracy and integrity throughout the analysis process.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
  • Proven experience as a Data Analyst, preferably with exposure to the insurance industry.
  • Proficiency in data analysis tools such as SQL, Python, or R.
  • Experience with data visualization tools like Tableau or Power BI.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent communication skills, with the ability to explain complex data findings to non-technical audiences.
Benefits
  • Competitive salary package with potential performance bonuses.
  • Comprehensive health and retirement benefits.
  • Opportunities for professional development and advanced training in data science.
  • Exposure to diverse datasets and challenging analytical problems.
  • A stable and supportive work environment in Kimberley .
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