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Analytics Engineer - Finance Systems

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: KForce
Full Time position
Listed on 2026-10-29
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 USD Yearly USD 120000.00 YEAR
Job Description & How to Apply Below
Description Kforce has a client in Tampa, FL that is seeking an Analytics Engineer-Finance Systems.

Key Tasks:
* Build, maintain, and troubleshoot financial data pipelines and integrations
* Develop advanced SQL queries, data transformations, warehouse views, and reporting datasets
* Design and maintain Power BI dashboards, DAX calculations, and semantic models
* Identify and resolve data quality issues, reporting discrepancies, and failed integrations
* Support data integrations across Net Suite, Azure, and Workday Adaptive Planning
* Improve data governance, reporting consistency, metric standardization, and technical documentation
* Partner with Finance and IT teams to translate business needs into scalable reporting and analytics solutions Requirements
* Bachelor's degree or 5+ years of relevant experience
* 3+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or a related technical role
* Strong Power BI experience with dashboards, DAX, and semantic models
* Hands-on experience building, maintaining, and troubleshooting ETL/ELT pipelines and integrations
* Experience with Microsoft Fabric or comparable cloud analytics platforms
* Experience with Azure databases or similar cloud data environments
* Experience validating data, troubleshooting integration failures, and resolving reporting discrepancies
* Experience integrating ERP, CRM, and other enterprise systems
* Oracle Net Suite experience, particularly financial data extraction and reporting integrations
* Workday Adaptive Planning experience
* Financial reporting, FP&A, or accounting systems experience
* Experience bringing third party-managed data integrations in-house
* Strong knowledge of relational data modeling, including fact tables, dimensions, and analytical datasets
* Knowledge of data governance, metric standardization, and technical documentation
* Advanced SQL skills, including complex queries, transformations, warehouse views, and query optimization
* Strong communication and collaboration skills across Finance, Accounting, and IT
* Ability to develop warehouse datasets supporting financial and operational reporting
* Ability to translate business requirements into scalable reporting solutions

Job Type Direct Hire Compensation
100000 - $120000
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