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We are looking for a Business Intelligence (BI) Developer to create reliable reporting solutions and scalable data workflows that help teams make informed decisions. This role partners with stakeholders across the organization to turn operational needs into well-designed analytics, integrations, and dashboard experiences. Based in Deerfield, Massachusetts, the position combines hands-on development, data quality oversight, and clear communication with both technical and non-technical audiences.
Job Responsibility
Cleaning up data and data modeling
Develop and support data pipelines, transformation logic, and structured datasets that enable dependable reporting and downstream analysis
Build ETL processes that move and prepare information from multiple sources while maintaining accuracy, consistency, and trust in the data
Work closely with functional teams to gather requirements, map business processes, and deliver technical solutions aligned with operational goals
Maintain and improve applications, interfaces, and system connections that exchange data with enterprise platforms and related tools
Evaluate workflows and reporting practices to identify opportunities for efficiency, better visibility, and stronger decision support
Explain technical findings in accessible language and provide documentation or user guidance to help teams adopt new solutions
Test enhancements, data processes, and system updates to confirm expected performance and resolve issues before release
Requirements
Bachelor’s degree in Computer Science, Data Analytics, or a related discipline
At least 5 years of experience in business intelligence, data engineering, analytics, data warehousing, or application development
Strong command of SQL Server and data modeling principles, including performance tuning, transformation methods, and advanced querying techniques
Proven experience building dashboards and reports in BI platforms such as Power BI, Tableau, Domo, or similar tools
Working knowledge of relational and non-relational databases and the ability to combine data from multiple business systems
Excellent communication, organization, and collaboration skills, with the ability to manage priorities independently and handle confidential information appropriately
Nice to have
Experience with Python for data analysis or transformation, including libraries such as pandas or similar tools
Familiarity with version control practices using Git or GitHub and exposure to cloud data platforms such as Microsoft Fabric