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Gore Mutual Insurance

Senior Data Analyst

Cambridge, Ontario, Canada; Toronto, Ontario, Canada; Cambridge, Ontario; Toronto, OntarioCanada
Senior · Enterprise Data & Analytics
POSTED 12 NOVVERIFIED 12M AGO
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Role
0 days opentrue age
Posted 12 Nov
Pay
CAD 132k–CAD 191kno pay posted
Market p25–p75
CAD 132k–CAD 191k
Toronto · n=11 · 365d to 12 Nov
CompanyGore Mutual Insurance →
16open roles
Opened · 30d
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Closed · 30d
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1,744open · Senior Analytics / Data science
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All analytics / data science
7,620open
All tracked boards · live 12 Nov · n=1,744
PythonSQL

At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.

Effective January 1, 2026, Gore has joined Beneva—the country’s largest mutual insurance company—as part of its Property & Casualty operations in Ontario and Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a stronger, more diversified mutual insurer with greater scale and long-term stability.

Every decision and investment remains anchored in long-term benefits to customers, members, and communities. Come join us.

The Senior Data Analyst will identify business metrics and reporting solutions to enhance the business intelligence function. This is a hands-on role responsible for developing and maintaining user-centric reporting and providing subject matter expertise to business leaders in alignment with business strategy and organizational needs. This role involves curating, monitoring, tracking, and notifying on data and insights across the enterprise.

​Key responsibilities include designing and prototyping new analyses, data modelling, reports, visualizations, and data analytics in accordance with data governance, reporting design, and testing standards. The role requires working in a fast-paced, dynamic project environment, leveraging design and storytelling to make sense of data presented in reports. Additionally, the Senior Data Analyst will ensure the creation and ongoing maintenance of process documentation for key deliverables and work in a cross-functional squad with other members of Enterprise Data and Analytics.

​The Senior Data Analyst will respond to key business opportunities and problems using data to investigate and generate solutions. They will proactively monitor portfolio performance, investigating positive and negative trends to understand current and future implications. The role also involves consulting and supporting stakeholders across the organization with the creation of analysis that informs strategic initiatives and considers a business mindset. Acting as the technical business owner on projects, the Senior Data Analyst ensures that technical solutions meet business requirements as defined by key stakeholders.​

What will you do?

​​Respond to key business opportunities and problems using data to investigate and generate data driven solutions such as dashboards and data assets.​​

  • Produce analysis that will support decision making at a higher level. This analysis often results from unfolding business opportunities and issues and helps to infer the overall direction of business performance.
  • Design and prototype new analyses, reports, visualizations, and data analytics in accordance with data governance and reporting design standards
  • Identify business metrics and reporting solutions that will improve the overall effectiveness and efficiency of the Business Intelligence function
  • Make sense of large amounts of disparate data to tell a consistent story focused on key strategic decision-making for executives and management

Proactively monitor performance of portfolio and investigate positive and negative trends to understand current and future implications​​

  • Data storytelling: Crafting a narrative around data to make insights more engaging and understandable.
  • Data monitoring: Continuously tracking data to ensure accuracy and identify trends or anomalies.
  • Data reconciliation: Ensuring consistency and accuracy by comparing and aligning data from different sources.
  • Creation of reporting solution in Power BI: Developing interactive and visually appealing reports using Power BI to facilitate data-driven decision-making.
  • Creation of data asset using SQL or Python that is used in consumption of downstream analysis (OBT creation)

Consult and support (Stakeholders across organization) with creation of analysis that informs strategic initiatives​

Source · Gore Mutual InsuranceFirst seen 12 NovOriginal ↗