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Manulife Financial Logo

Senior Analytics Engineer - People Analytics

Manulife Financial

$75,880 - $140,920
Sep 17, 2025
Boston, MA, USA • Toronto, Ontario, Canada • Kitchener, Ontario, Canada
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Manulife is looking for a Senior Analytics Engineer to bridge deep technical expertise with business-focused analytics, building, optimizing and automating people data infrastructure to deliver accurate, timely and actionable insights to HR, leadership and business stakeholders.

Requirements

  • Expert in Power BI: advanced DAX and data modeling.
  • Strong SQL skills for querying and transformation.
  • Experience using Databricks for preparing datasets for analysis.
  • Familiarity with API integrations and RaaS connections.
  • Experience with Power Automate or other workflow automation tools.
  • Strong understanding of data governance and security.
  • Experience with HRIS or people data (e.g. Workday).

Responsibilities

  • Analytics & Visualization: Design, develop, and optimize Power BI datasets, models, and measures for people analytics dashboards; build reusable semantic layers and data models to ensure consistency across reporting.
  • Data Access & Transformation: Integrate data from APIs and Report-as-a-Service (RaaS) endpoints; optimize SQL queries for performance and reliability; use Databricks for data exploration advanced transformations and applications.
  • Automation & Integration: Develop Power Automate flows to streamline reporting processes and reduce manual work; maintain secure, reliable connections between BI tools and enterprise data sources.
  • Governance & Quality: implement validation and reconciliation steps to ensure data accuracy; maintain clear documentation for datasets, measures, and data source connections; partner with IT and Data Privacy teams to align on data access, security and governance.
  • Collaboration & Leadership: Serve as a technical expert for Power BI, Databricks, SQL; mentor junior team members and share best practices; lead proof-of-concept projects for new tools or analytical approaches.

Other

  • 5+ years in analytics, BI engineering, or related data roles.
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • Ability to work in a flexible environment with a focus on well-being and inclusion.
  • Must be eligible to work in Canada.
  • Travel requirements not specified.