Senior Data Analyst - Insurance

Jobgether • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Transform complex insurance-related datasets into actionable insights to support strategic business decisions. Analyze trends, improve reporting capabilities, and strengthen data-driven decision-making. Work closely with data leadership and cross-functional teams.

Key Highlights

Analyze large and complex structured and unstructured datasets

Translate business requirements into clear analytical approaches

Perform deep SQL-based data analysis across multiple sources

Key Responsibilities

Analyze large and complex structured and unstructured datasets to identify meaningful trends, patterns, and business insights

Translate business requirements into clear analytical approaches and deliver actionable findings to support decision-making

Perform deep SQL-based data analysis across multiple sources, ensuring accuracy, consistency, and data integrity

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Technical Skills Required

SQL Power BI Tableau

Benefits & Perks

Competitive contractor compensation

Fully remote opportunity

Opportunity to work on high-impact insurance data initiatives

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Nice to Have

Familiarity with data modeling concepts, Agile/Scrum environments, and tools such as Python, R, or Databricks

Job Description

In this role, you will transform complex insurance-related datasets into clear, actionable insights that directly support strategic business decisions. You will work closely with data leadership and cross-functional teams to analyze trends, improve reporting capabilities, and strengthen data-driven decision-making across the organization. The position requires strong analytical rigor, with a focus on SQL-driven analysis and deep data interpretation rather than engineering or pure visualization work. You will be responsible for understanding business needs, translating them into structured analytical outputs, and delivering high-quality insights that improve operational and commercial outcomes. The environment is collaborative and fast-paced, with a strong emphasis on data quality, accuracy, and business impact. This is a high-visibility role within an established insurance data ecosystem where your insights will directly influence decision-making.

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