Operations & Data Analyst Co-op

• 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.

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.

• 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.

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.

• 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

• 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

• 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

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.

The P&P…