> Markdown version of [/jobs/ext/3753219-business-intelligence-analyst-snowflake-databricks-ssrs](https://www.wearedevelopers.com/jobs/ext/3753219-business-intelligence-analyst-snowflake-databricks-ssrs). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Analyst - Snowflake, Databricks, SSRS - **Company:** RELX Group plc - **Location:** St. Louis, MO, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Artificial Intelligence, Software as a Service, Data Visualization, Data Warehousing, Power BI, Elearning, Microsoft Copilot, Software Engineering, SQL Databases, SQL Server Reporting Services, Tableau (Software), Retrieval-Augmented Generation, Snowflake, Data Analytics, Data Management, Tools for Reporting, Claude, Looker Analytics, GPT, Databricks - **Published:** October 15, 2026 - **Apply:** https://relx.wd3.myworkdayjobs.com/en-US/relx/details/St-Louis-MO/Business-Intelligence-Analyst---Snowflake--Databricks--SSRS_R119700 ## About the Role * 3+ years of hands-on SQL experience using Snowflake, Databricks, SSRS, or similar data platforms. * 3+ years of experience developing dashboards and reports in BI visualization tools such as Tableau, Power BI, Looker, or similar platforms. * Demonstrated experience converting manual or legacy reporting workflows into automated BI, dashboard, or reporting solutions. * Demonstrated experience translating reporting logic, SQL queries, or business rules across systems, data warehouses, or reporting platforms. * Experience gathering requirements from business stakeholders and converting them into technical specifications, reporting logic, or dashboard solutions. * Proven ability to validate data, investigate discrepancies, and ensure reporting accuracy. * Familiarity with AI tools such as ChatGPT, Claude, Copilot and their applications. ## Description Are you a dedicated Business Intelligent Analyst (Snowflake, Databricks, SSRS) looking to build complex reports for our core Healthcare Education Team?, About the role: As a BI Analyst you will be entrusted to support Trade and Commercial Reporting within Elsevier Healthcare Education's (EHE) Business Intelligence Team. This role will partner with commercial, analytics, technology, and senior stakeholders to modernize reporting workflows, improve reporting quality, and deliver scalable BI solutions that support business decision-making. About the team- Elsevier's Healthcare Education team develops digital learning, assessment, and simulation products-including Sherpath AI, ClinicalKey Student, Shadow Health, HESI, Complete Anatomy, and Osmosis-to support medical and nursing students, educators, and future healthcare professionals worldwide. From an AI Software Engineering perspective, the team's work spans generative AI, RAG, intelligent search, personalized learning, data analytics, cloud-based applications, and virtual patient simulations to improve educational experiences and learning outcomes., * Owning the development and enhancement of Trade and Commercial Reporting solutions across Snowflake, Tableau, and related BI environments. * Applying AI tools, where appropriate, to improve analysis, documentation, workflow efficiency, and reporting development. * Converting legacy manual reporting workflows, including Excel-based processes, into scalable dashboards, automated reporting, and repeatable analytical solutions. * Supporting reporting migrations by translating legacy queries, business rules, and reporting logic into new data warehouse environments. * Validating reporting outputs across legacy and new environments to ensure accuracy, consistency, and alignment with business definitions. * Partnering with commercial stakeholders, including senior and VP-level audiences, to gather requirements, clarify business questions, and deliver actionable reporting outputs. * Investigating data discrepancies, perform quality checks, document issues, and coordinating resolution with business and technical partners. * Maintaining documentation for reporting processes, data definitions, query logic, migration mappings, and technical workflows. * Managing multiple reporting priorities and stakeholder requests with strong attention to detail and limited oversight.