BI Developer
Job in
Saint Louis, St. Louis city, Missouri, 63150, USA
Listed on 2026-07-08
Listing for:
Kforce
Full Time
position Listed on 2026-07-08
Job specializations:
-
IT/Tech
Business Intelligence, Data Engineering, Data Warehousing
Job Description & How to Apply Below
Key Responsibilities:
* Partner with Finance, Commercial, and Data teams to analyze and re-engineer gross-to-net and margin reporting processes
* Design and develop scalable data models that standardize margin and financial reporting across the organization
* Build and maintain Power BI dashboards and reports that deliver clear, actionable insights into margin performance
* Integrate data from multiple sources (ERP, pricing systems, trade spend, and financial systems) into centralized, governed datasets
* Translate business requirements into technical specifications and BI solutions
* Ensure data accuracy and consistency by implementing data validation, reconciliation logic, and controls
* Support the creation of a single source of truth for financial and margin reporting
* Optimize reporting solutions for performance, scalability, and usability
* Collaborate with stakeholders to define KPIs, standard definitions, and reporting hierarchies
* Document data models, transformations, and reporting logic to support governance and transparency
* Identify opportunities for process improvement and automation across reporting workflows
* 2+ years of experience in BI development, analytics, or data engineering
Strong hands-on experience with:
* Power BI (or similar tools: Tableau, Qlik)
* SQL and relational databases
* Data modeling and ETL/ELT processes
* Experience working with financial data sets, preferably including margin, pricing, revenue, or gross-to-net concepts
* Proven ability to translate business needs into technical data solutions
* Strong analytical and problem-solving skills with attention to detail
* Excellent communication skills and ability to work cross-functionally
Preferred Qualifications:
Experience with :
* ERP systems (SAP strongly preferred)
* Data platforms such as Azure, Databricks, or Fabric
* Exposure to commercial finance, trade spend, or revenue management processes
* Familiarity with data governance, master data management (MDM), and data quality frameworks
* Experience supporting transformation initiatives or process re-engineering efforts
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