Manager, Talent Analytics (6-month contract)

CPP Investments | Investissements RPC•Toronto, ON

1d•Onsite

About The Position

The Manager, Talent Analytics, will lead the development and execution of analytics and delivery of insights to inform talent decisions across the organization. This role is responsible for building analytics capabilities, delivering actionable insights, and partnering with TBPs, COEs, Talent leadership and business stakeholders to optimize workforce outcomes. This role focuses on analytics and insight generation, and is distinct from reporting, data production, and operational analysis.

Requirements

6+ years of experience in data analytics
Strong analytical and problem-solving skills.
Excellent storytelling and data visualization skills - can translate insights into action for senior audiences.
Proficiency in data analysis tools (e.g., SQL, Python, R) and visualization tools (e.g., Tableau, Power BI)
Ability to work with large, complex datasets.
Strong stakeholder management and influencing skills.
Experience with predictive analytics or machine learning.
Motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself to high standards in a collaborative, performance-driven environment.

Nice To Haves

Experience in talent analytics, workforce planning, HR Strategy, or a related talent analytics field would be considered an asset.
Familiarity with HR systems (e.g., Workday) would be considered an asset.

Responsibilities

Contribute to the development and evolution of the talent analytics roadmap and strategy aligned with organizational priorities
Act as a subject matter expert in Talent Analytics, guiding stakeholders on the interpretation and application of data and insights
Define and establish enterprise talent benchmarks (internal and external) to provide context for performance and inform decision-making.
Establish principles and provide guidance on the definition and use of key talent metrics, ensuring consistency in interpretation across the organization
Analyze workforce data across multiple sources to identify trends, risks, and opportunities across the employee lifecycle (e.g., hiring, engagement, retention, performance)
Lead 2–3 in-depth talent analytics deep dives annually on priority topics delivering actionable recommendations.
Act as a strategic partner to Talent Senior Management team, Talent Business Partners, and Centers of Excellence, supporting the framing of key workforce questions and delivery of data-driven insights.
Drive the integration of analytics into Talent processes and programs, enabling more consistent use of data in decision-making
Explore and identify opportunities to leverage AI for more effective data visualization, storytelling, and automation of analytics workflows.
Assist in designing a talent data literacy program to upskill members of the Talent team in interpreting and using data.
Collaborate with partner teams (Talent Digital Deliver/Talent Solutions & Services) to uphold the operating model, including transitioning repeatable analytics outputs into self-serve reporting and standardized metrics where appropriate