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People Analytics Manager - WorkdayRaymond James Financial, Inc. • Springfield, Missouri, United States
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People Analytics Manager - Workday

Raymond James Financial, Inc.
  • US
    Springfield, Missouri, United States
  • US
    Springfield, Missouri, United States
Postuler Maintenant

À propos

While we prefer this role to be based in our St. Petersburg, FL office with a hybrid work arrangement, we are open to considering qualified candidates for a remote workstyle based on experience and alignment with business needs.
Please note:
This role is not eligible for Work Visa sponsorship, either currently or in the future.
Job Description Summary The People Analytics Manager – Workday serves as the organization’s Workday reporting expert, with deep hands‑on experience building advanced Matrix and Composite Reports, dashboards, and data models. This role transforms complex HR data into strategic insights that inform workforce decisions across the enterprise. The manager develops reporting solutions in Workday, Workday Prism, and other analytics tools, partnering with HR and business leaders to define metrics, forecast trends, and support strategic planning. The role ensures reporting governance, compliance, data quality, and continuous improvement of analytics capabilities while mentoring junior team members.
Responsibilities
Serve as the primary Workday reporting expert, building, testing, and maintaining advanced reports, discovery boards, dashboards, and scorecards for HR and business leaders
Designs and builds data solutions in Workday Prism to integrate internal and external datasets for reporting and decision support
Develop and manage dashboards covering headcount, turnover, talent acquisition, total rewards, and other key HR areas
Deliver actionable insights identifying workforce trends, risks, and opportunities
Develop high‑complexity Workday Composite Reports, joining multiple data sources, calculated fields, conditional logic, and multi‑line outputs.
Build and optimize Matrix Reports used for headcount, compensation, compliance, and multi‑dimensional workforce analytics.
Partner with key HR areas, leadership, and business stakeholders to design workforce metrics and KPIs aligned with organizational strategy
Support strategic workforce planning initiatives, integrating reporting with scenario modeling and forecasting
Present findings and recommendations to leadership in a clear, compelling manner to drive decision-making
Champion HR data governance standards and reporting best practices
Ensure compliance with regulatory and data privacy requirements (e.g., EEO, GDPR, SOX)
Create and maintain documentation, metadata, and data dictionaries for HR reporting.
Fulfill ongoing and ad hoc HR reporting and analysis requests in a high‑volume, fast‑paced environment
Assist in developing reporting and analysis best practices and train staff in their implementation
Contribute to exploring the development and implementation of data analysis and visualization tools (e.g., Qlik, Tableau, Visier)
Coach and mentor less experienced associates.
Troubleshoot system and data issues, taking ownership through resolution.
Provide data governance direction and oversight for HR
Bachelor’s degree required (Masters preferred)
Minimum of 4 years of experience in data management and reporting; 5–7 years preferred
Technical Skills
Must have advanced Workday reporting experience, including Matrix Reports, Composite Reports, Workday Report Writer, calculated fields, discovery boards, dashboards, and scorecards.
Deep experience creating and optimizing Matrix & Composite reports
High Proficiency in SQL, Excel, or Access.
Experience with Workday HCM and Adaptive Planning.
Familiarity with statistical tools such as SPSS and SAS is a plus.
Experience with data visualization tools (e.g., Tableau, Qlik, Visier).
Knowledge
Solid understanding of HR and workforce analytics
In‑depth knowledge of HR ERP systems and data presentation tools
Understanding of business needs and practices in the financial services industry
Strong analytical and problem‑solving skills
Ability to identify, analyze, and interpret trends in complex data sets
Knowledge in applying basic statistical analysis (e.g., correlation, regression, T‑tests)
Ability to develop and implement data collection systems that optimize efficiency and quality
Excellent communication skills—verbal and written—with all levels of the organization
Ability to prioritize multiple tasks in a fast‑paced, dynamic environment
High level of customer service and stakeholder engagement
Strong organizational and project management skillsAbility to work independently and collaboratively
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  • Springfield, Missouri, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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