Business Intelligence Analyst - Snowflake, Databricks, SSRS

Are you a dedicated Business Intelligent Analyst (Snowflake, Databricks, SSRS) looking to build complex reports for our core Healthcare Education Team?

• 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.

• 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.

Elsevier employs 10,000 people worldwide, including over 2,500 technologists. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress.

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