Business Intelligence (BI) Developer-Knoxville Office
Indexed description
Duties And Responsibilities (Daily And Monthly)
Pipelines & Integration
- Design, build, and maintain robust ELT/ETL pipelines (SSIS, SQL Agent) that ingest from Hadoop, flat files, Excel, and APIs — engineered for reliability, auto-recovery, and observability.
- Implement layered data flow (staging ? integration ? presentation) with automated data-quality checks and clear documentation of sources, transformations, and lineage.
- Design and build data warehouses and subject-area marts using dimensional modeling and star schemas — well-formed facts and dimensions, conformed dimensions, and deliberate slowly changing dimension strategies.
- Establish a single source of truth with shared definitions, modeling standards, and warehouse-level data quality, so metrics stay consistent as the platform grows.
- Build and maintain reports and dashboards in SSRS and Power BI (semantic models, DAX, row-level security, gateways), feeding Azure/SharePoint Lists and Dynamics CRM.
- Source reporting from the warehouse, define each metric once, and curate a maintainable, certified reporting catalog.
- Translate business requirements into scoped, estimated work; manage dependencies and delivery risk; and report progress in sprint ceremonies.
- Associate degree preferred
- Bachelor’s degree preferred
- Minimum one year experience in Data & Analytics
- Data Entry
- Microsoft Excel and Microsoft Word
- Microsoft Outlook and Microsoft Teams
- Minimum one year in Data & Analytics; associate or bachelor’s degree preferred.
- Working knowledge of T-SQL, stored procedures, and views on Microsoft SQL Server — including Azure SQL Managed Instance and Azure SQL Database.
- Working knowledge of SSIS, SQL Agent, and SSRS; knowledge of dimensional modeling, star schema design, and/or SSAS a plus.
- Working knowledge of Power BI Desktop and/or Power BI Report Builder.
- Knowledge of Microsoft Fabric, Data Factory, OneLake, Data Warehouse a plus.
- Strong communication skills, attention to detail, and solid logic and math skills.
- Experience in a financial environment and exposure to Agile (Kanban) a plus.
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