Senior Data & Business Intelligence Analyst

In this role you turn enterprise data into trusted insights to guide decision-making. You'll design and maintain Power BI products, support Microsoft data platforms, and strengthen data governance while enabling self-service analytics. You will partner with leaders and technical teams to define KPIs and scalable reporting that drive business impact. Remote-friendly work with US citizenship and a path to lead and mentor within the Digital Data Services team. This is a pivotal role for shaping data culture and decision support at MTSI.

• 100% remote
• opportunities to lead and mentor
• collaborative culture
• growth and data-driven decision-making
• cross-functional collaboration

• Partner with stakeholders to clarify business questions, define KPIs, and translate needs into analytics solutions.
• Lead analytics and reporting from discovery to deployment, including milestones, testing, and adoption support.
• Analyze trends and performance drivers; present findings in a clear, decision-oriented manner.
• Provide ad hoc analyses and convert recurring requests into governed, reusable solutions.
• Design and maintain Power BI dashboards, semantic models, and scorecards; ensure data accuracy and performance.

• Bachelor's degree or equivalent experience; 5 years in BI, data analysis, or related field.
• Secret clearance eligibility; US Citizenship required.
• Power BI development with DAX, Power Query, semantic models, and data visualization.
• SQL proficiency (Microsoft SQL Server preferred) for data retrieval and validation.
• Experience gathering requirements, defining KPIs, and translating needs into technical specs.
• Understanding of relational data, dimensional modeling, data warehousing, ETL/ELT, and data governance.

• Strong analytical judgment and attention to detail.
• Excellent written, verbal, and visual communication; ability to explain technical concepts to non-technical audiences.
• Independent work style with collaborative cross-team partnership.
• Power BI (DAX, Power Query, semantic models, dashboards).
• SQL Server and data retrieval/validation.
• Microsoft Fabric, Azure data services, APIs, data integration.