Senior Data Analyst- Insurance at Jobgether

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

02 Oct, 26

Salary

0.0

Posted On

04 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Data Analysis, Power BI, Tableau, Advanced Excel, Data Validation, Data Modeling, Insurance Domain Knowledge, Python, R, Databricks, Agile/Scrum, Data Governance, Data Extraction, Data Transformation, Communication

Industry

Internet Marketplace Platforms

Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst – Insurance based in Canada. 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. \n Accountabilities: 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. Build and maintain dashboards and reports using tools such as Power BI or Tableau to support business and leadership needs. Collect, clean, validate, and reconcile data from different systems to ensure high data quality standards. Collaborate closely with business, analytics, and technology teams to support key data initiatives and reporting requirements. Support ongoing data governance efforts, documentation, and ad hoc analytical requests. Identify data gaps and recommend improvements to enhance reporting efficiency and analytical capabilities. Requirements: 8–10 years of experience as a Data Analyst or in a similar data-focused analytical role. Strong expertise in SQL with proven ability to perform complex data extraction, transformation, and analysis. Advanced Excel skills, including pivot tables, advanced formulas, and data manipulation techniques. Hands-on experience with BI tools such as Power BI, Tableau, or equivalent visualization platforms. Strong understanding of data analysis, data validation, and reporting best practices. Experience working with large datasets in a structured enterprise environment. Excellent communication skills with the ability to clearly present insights to both technical and non-technical stakeholders. Insurance industry experience is strongly preferred. Familiarity with data modeling concepts, Agile/Scrum environments, and tools such as Python, R, or Databricks is an asset. Bachelor’s degree in Data Analytics, Statistics, Computer Science, or a related field. Benefits: Competitive contractor compensation aligned with senior data analyst market rates in Canada. Fully remote opportunity for Canadian-based professionals. Opportunity to work on high-impact insurance data initiatives within an established enterprise environment. Exposure to large-scale datasets and advanced analytics within a data-driven organization. Collaborative work culture with strong cross-functional engagement. Opportunity to strengthen expertise in SQL-driven analytics and insurance domain data systems. Flexible engagement with potential for contract extension based on performance and business needs. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Transform complex insurance datasets into actionable insights to support strategic business decisions and operational outcomes. Perform deep SQL-based analysis and maintain BI dashboards to identify trends and improve reporting capabilities.