Job description

Senior Data Analyst

Job ID : 5157
Category : Claims
Brand : Economical
Regular/Temporary : Regular
Fulltime/Parttime : Full Time
Location : Toronto, Canada


Can a 150-year-old company think outside the box? Count on it. Deep experience is our springboard for innovation, whether that’s in how we work with our broker network, how we serve our customers, or how we support our employees.

Economical is part of Definity, a Canadian, multi-channel, property and casualty insurance company whose success is founded on our family of companies’ long history of delivering a superior experience for those who count on us. We’re proud to help our customers, broker partners, employees, and communities adapt and thrive in a world of constant change. Our success in transforming into a digital leader in our industry is driven by a talented and engaged team with a passion for innovation and high performance.

What can you expect in this role?

Reporting to the Claims Operations Analytics Manager, the Operations Specialist will be responsible for supporting the data and reporting needs of one of our larger commercial insurance clients/partners. The role will involve interacting with internal stakeholders for requirements gathering, identifying relevant data sources or sub processes in which to deploy new KPIs, communicating new data extract requirements, analyzing and synthesizing data from multiple sources, and ultimately producing high quality reports conveying that demonstrate a full narrative.

This position involves a significant amount of collaboration - the successful candidate will be highly adaptable and able to prioritize multiple critical projects.

What you’ll do:

  • Extract and structure raw data, perform adhoc analyses and reporting when requested by functional business partners
  • Collaborate with various departments on business insights needs
  • Produce accurate and meaningful dashboards/reports that identify and tell the story of success
  • Formulate business cases for various initiatives, measure, track, and monitor benefits
  • Independently respond to requests of internal and external stakeholders
  • Perform deep dive analysis while determining/detecting key data correlations and trends
  • Create process and governance documentation including data dictionaries to ensure operational continuity

What do you bring to the role?

  • University Degree – Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
  • 3-5 years of relevant full-time experience, focusing on data analysis and storytelling
  • Excellent verbal and written communication skills are essential – true ability to work collaboratively to achieve team goals
  • Proven analytical skills with exceptional attention to detail
  • Advanced Excel and PowerPoint skills
  • Demonstrated experience with data visualization tools such Power BI, IBM Cognos, Tableau
  • SQL and Python experience is required
  • Curious enjoys problem-solving coupled with strong critical thinking skills
  • Strong work ethic and commitment to operational excellence
  • Insurance industry experience (preferably P&C Insurance sector) would be beneficial but is not required

We also take potential into consideration. If you don’t have this exact experience, but you know you have what it takes, be sure to give us more insight through your application and cover letter.

Go ahead and expect a lot — you deserve it, and we’ve got it:

  • Hybrid work schedule for most roles
  • Company share ownership program
  • Pension and savings programs, with company-matched RRSP contributions
  • Paid volunteer days and company matching on charitable donations
  • Educational resources, tuition assistance, and paid time off to study for exams
  • Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
  • Wellness and recognition programs
  • Discounts on products and services

Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting: [email protected]

Background checks
This role requires successful clearance of a background check (including criminal checks and leadership references).

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