Senior Data Analytics BI Engineer

AITHERAS is seeking a Senior Data Analytics BI Engineer to support federal agency data modernization, business intelligence, compliance, reporting automation, and database transformation initiatives. The ideal candidate combines BI engineering, data engineering, software development, workflow automation, database auditing, and federal consulting experience.

Requirements

• 8+ years of experience in data analytics, BI engineering, database development, software development, data engineering, or federal reporting automation
• Experience supporting federal government agencies, federal contractors, or regulated public-sector environments
• Strong experience with Power BI dashboard development, data modeling, DAX, Power Query, report design, and BI publishing workflows
• Strong SQL Server experience, including database design, querying, stored procedures, views, optimization, and data migration
• Experience modernizing legacy MS Access databases, including migration to SQL Server or similar enterprise database platforms
• Experience building automated ETL workflows, file imports, data transformations, and recurring reporting pipelines
• Experience auditing complex databases, applications, and workflows to assess data quality, bottlenecks, usability, and modernization needs
• Experience supporting finance, compliance, inspections, HR, operations, risk, or executive reporting functions
• Experience developing automated reports, dashboards, Excel-based tools, and decision-support products for senior stakeholders
• Ability to analyze large-scale data environments with many tables, fields, business rules, and downstream dependencies
• Experience translating manual processes into automated workflows, applications, dashboards, or configurable end-user tools
• Experience documenting data structures, business rules, technical workflows, system dependencies, and reporting logic
• Strong client-facing communication skills with the ability to gather requirements, explain technical findings, and recommend practical solutions

Tagged as: Data Analysis