Senior Data Specialist

Federal Reserve Bank of St. Louis The Senior Data Specialist serves as the primary data analytics expert and strategic partner for the Internal Support, Payments and SASTeC (ISPS) Division at the Federal Reserve Bank of St.Louis. This role leads the development and execution of division-wide data strategies, and mentors junior analysts while consulting with senior leadership on complex analytics needs. Working independently with minimal supervision, you will define best practices for data integrity, architect comprehensive analytical solutions that influence strategic decision‑making, and drive adoption of a data‑driven culture across the division. This position delivers enterprise‑level data solutions and translates complex analytical findings into actionable strategic recommendations that impact division‑wide objectives and policy decisions. Key Responsibilities System Administration & User Support: Serve as the district’s integrated workplace management system (IWMS) data analytics/administrator. An IWMS is an enterprise software platform designed to manage the entire lifecycle of an organization’s physical facilities and corporate real estate. It consolidates space management, maintenance, leases, capital projects, and sustainability into a single, centralized database to optimize business efficiency and reduce costs. Design and Implement Enterprise Data Solutions: Design and configure enterprise‑level data integration frameworks across multiple data sources and platforms and establish division‑wide standards. Lead complex root‑cause analysis for critical system issues and make independent decisions on data architecture that impact division‑wide analytics capabilities. Develop Advanced Analytics and Visualizations: Lead the design, configuration, creation, and maintenance of dashboards, reports, and data visualizations using business intelligence tools such as Tableau, Power BI (Python/DAX), Power Platform, and Excel to support operational needs and develop solutions of moderate to high complexity. Ensure Data Quality and Integrity: Conduct regular data quality assessments to verify and validate accuracy, completeness, and consistency against source systems and business rules. Provide Strategic Consultation: Consult with stakeholders and leadership, gather business requirements, identify key metrics to support initiatives, and drive process improvement with data‑driven solutions and strategic recommendations while effectively communicating insights to non‑technical audiences. Create Documentation and Standards: Create process documentation and best practices related to data products. Serve as Subject Matter Expert: Represent the division as a subject matter expert in system‑wide communities of interest, lead evaluation and recommendation of emerging technologies for adoption, and serve as the primary liaison for enterprise data initiatives and solutions including IWMS. Mentor Team Members: Provide technical mentorship and guidance to junior analysts, review work products, and assist with training. #J-18808-Ljbffr