Manager, Data Analytics and Insights

leverage analytical expertise to deliver data‑driven solutions that enhance the effectiveness of Enterprise Talent programs 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) 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 Support data governance practices, including documentation and implementation of best practice data standards including process flows, data quality and data definitions Proactively seek opportunities to provide valuable insights and receive continuous improvement feedback from our business partners 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 Familiarity with Python and/or R is a plus with a willingness to learn Understanding of data quality, standards, and stewardship principles. #J-18808-Ljbffr