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Operations & data analyst co-op

Job in Windsor, Ontario, N8N 0A1, Canada
Listing for: Société Financière Manuvie
Contract, Apprenticeship/Internship position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
  • Business
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 55000 - 76000 CAD Yearly CAD 55000.00 76000.00 YEAR
Job Description & How to Apply Below
Position: Operations & data analyst co-op (8 months)
Core Responsibilities
  • Support the build-out of a structured P&P data catalog covering applications, vendors, document types, materials, and reporting inputs.
  • Help map vendors to applications and document types; identify data gaps and inconsistencies.
  • Support inventory and materials mapping where applicable.
  • Prepare and clean data inputs for Power BI and broader P&P reporting.
  • Support data validation, quality checking, and documentation of assumptions and sources.
  • Document manual reporting processes and contribute to improvement and automation ideas.
  • Support coordination tracking and fact-gathering across the P&P function.
  • Help organize and structure information so it can be reused for reporting, analysis, and operational decision-making.
Target Student Profile
  • Year of study: 3rd or 4th year undergraduate (or equivalent co-op / intern student).
  • Preferred programs:
    • Business Analytics
    • Finance
    • Data Analytics
    • Accounting
    • Operations Management
    • Business Administration
    • Information Systems
    • Industrial Engineering / Process Improvement
    • Related business, analytics, or operations program
  • Strong Excel skills and comfort working with structured data.
  • Strong attention to detail and analytical mindset.
  • Interest in finance, operations, reporting, analytics, and process improvement.
  • Exposure to Power BI or similar dashboard / reporting tools is preferred but not mandatory.
Non-Negotiables
  • Strong Microsoft Excel skills.
  • Comfort working with multiple data sources, including vendor data, invoices, and operational data.
  • Strong attention to detail and ability to validate accuracy of data.
  • Ability to maintain confidentiality and follow internal data-handling standards.
  • Strong communication skills, including a willingness to ask clarifying questions.
Supervision and Coaching Model
  • Primary hiring manager and day-to-day supervisor:
    Tadios Abebe, Manager, P&P Financial Operations.
  • Secondary support and exposure:
    Across P&P leadership, including:
    • Production Operations
    • Vendor & Production Operations
    • Vendor Governance
    • Head of P&P
  • Aligned with Manulife’s intern / co-op program expectations, including coaching, structured feedback, performance evaluation, and student development.
  • Regular check-ins with the manager to support development and progress.
Skills and Competencies to Be Developed Technical and analytical
  • Data collection, data cleanup, and structured data design
  • Excel-based analysis and reconciliation
  • Data cataloging and reference table development
  • Power BI / dashboard data preparation
  • Data validation and quality assurance
Business and operational
  • Understanding of Print & Post operations and vendor-supported production processes
  • Exposure to financial reporting, cost tracking, and invoice validation concepts
  • Process documentation and issue identification
Professional and soft skills
  • Stakeholder communication
  • Critical thinking and asking effective clarifying questions
  • Documentation discipline
  • Time management and prioritization
  • Working with ambiguity
  • Collaboration across Finance, Operations, Vendor Governance, and business partners
Expected Outcomes / Deliverables

By the end of the term, the student should produce:

  • A structured P&P data catalog covering applications, vendors, document types, materials, and key reporting inputs.
  • Vendor-to-application and vendor-to-document mapping tables.
  • Inventory / material mapping tables (where applicable).
  • Cleaned, validated data files that can support Power BI reporting and financial analysis.
  • A documented summary of data gaps, naming inconsistencies, missing fields, and validation issues.
  • A summary of manual reporting processes and recommended areas for simplification or automation.
  • A short final summary or presentation of work completed, findings, issues, and recommendations.
Why This Role Exists

The P&P function is moving toward a…

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