Manager, Talent Data Analytics and Insights

FidelityWestlake, TX
7dHybrid

About The Position

As a Manager on the Talent Data Analytics & Insights team , you will leverage your analytical expertise to deliver data-driven solutions that enhance the effectiveness of Enterprise Talent programs. Your work will span talent analytics, process automation, and visualization—providing insights that help shape how we attract, develop, and retain top talent. This role requires critical thinking, curiosity, initiative, and confidence in applying analytical techniques to real-world challenges in the Talent space. You will collaborate closely with Talent, HR, and business leaders to understand their needs and deliver impactful analytics. Your analytical, technical, and communication skills will support our team and the business in making data-driven talent decisions. The work you do will allow the analysts to communicate trends, patterns, and predictive information found within talent-related data using various analytical and statistical tools and techniques. Our goal is to strengthen our analytical capability, efficiency, and generate operational insights in the organization. By using your full range of skills, you will have a direct impact on streamlining processes to maximize efficiency and effectiveness and elevate the experiences of both candidates and associates within Fidelity.

Requirements

  • bachelor’s or master’s degree with a minimum of 2+ years of experience in data analytics, business intelligence, or related fields
  • Demonstrates strong consultative and communication skills to engage stakeholders, foster collaboration, and build trusted relationships across diverse teams
  • Translates complex data into clear, actionable insights by understanding stakeholder needs and regularly communicating ideas that support strategic decision-making and long-term partnership
  • Ability to design and optimize workflows for automation and analytics
  • Proficient in creating dashboards and visual stories using Tableau and/or Power BI
  • Understanding of relational database concepts and hands-on experience with platforms such as Snowflake, Azure, and SQL Server
  • Proficient knowledge of SQL for building and tuning queries and troubleshooting across Snowflake and legacy SQL Server environments
  • Understanding of data quality, standards, and stewardship principles

Nice To Haves

  • Familiarity with Python and/or R is a plus with a willingness to learn

Responsibilities

  • Perform exploratory and forensic data analysis to uncover trends, patterns, and anomalies while developing subject-matter expertise across our various Talent data sets
  • Synthesize data findings and be able to communicate findings through clear storytelling and presentations that influence decision-making
  • Create and enhance interactive dashboards and visualizations in Tableau and Power BI to provide real-time insights
  • Develop and optimize Alteryx workflows to deliver scalable talent analytics and workforce insights and automate processes
  • Build and maintain data pipelines using SQL (Snowflake, SQL Server); familiarity with Python and/or R is a plus
  • Build strong relationships with team members and key business partners to establish trust and maintain solid working relationships
  • Collaborate cross-functionally with Talent and Business leaders to gather requirements, translate business needs into analytics solutions, and deliver insights that influence strategic decisions
  • Contribute to the timely turnaround and completion of prioritized ad-hoc data requests and work backlog from our business partners
  • Support data governance practices, including documentation and implementation of best practice data standards including process flows, data quality and data definitions
  • Work across teams to understand business requirements and measurement outcomes and develop quality documentation to inform analytics approach
  • Proactively seek opportunities to provide valuable insights and receive continuous improvement feedback from our business partners
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