Manager, Workforce Analytics & Insights

Job Description:

Manager, Workforce Analytics & Insights 

The Role  

As a member of the Wealth Human Resources Analytics team, you will play a critical role in providing workforce insights to HR and business leaders across Fidelity Wealth. Our people are our greatest asset, and we aim to maximize this investment to deliver on our ambitious strategy. This role offers the opportunity to shape data-driven HR strategies and influence decisions impacting thousands of Fidelity associates. In addition, this role helps to support the HR function with improving our operations utilizing data-driven tools and approaches. 

• Support the Wealth HR organization by curating HR datasets and dashboards  

• Provide analytical support for strategic and tactical business decisions 

• Conduct and present insightful analyses on major trends, challenges and opportunities and build clear and effective visualizations (dashboard, metrics and PowerPoint presentations) 

• Develop predictive and prescriptive analytics to anticipate workforce trends and inform decisions 

• Help to drive improvements to the HR operational processes  

• Use variety of HR systems, tools and practices to fulfill data requests 

• Assist and advise with HR team on ad hoc requests as well as establishing self-service options

• Balance responding to day-to-day reporting and analytics priorities while still making progress on project and backlog work 

• Build, establish and maintain positive, trusting working relationships with members of HR Analytics, HR Line, Talent Acquisition and other internal or external partners 

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The Expertise and Skills You Bring   

• Bachelor's degree or equivalent with 5+ years of experience 

• Experience in data analysis, advanced reporting, or similar quantitative activities 

• Experienced with combining large data sets from various sources for complete analysis using Alteryx, SQL, or other methods  

• Ability to build end-to-end, automated, repeatable dashboards and analyses using Tableau or equivalent software 

• Hands-on experience with advanced analytics methods (e.g., Python, R, Machine Learning) is a plus, though conceptual familiarity and a willingness to learn is valuable 

• Microsoft Office expertise required, particularly with Excel and PowerPoint 

• Excellent presentation, communication, organizational and interpersonal skills 

• Demonstrable track record