Senior Data Analyst — Power BI / Microsoft Fabric | Active Secret

Senior Data Analyst — Power BI & Microsoft Fabric | Active Secret

• Location: Remote — U.S.
• Clearance: Active Secret

Why This Role

Rackner is seeking a Senior Data Analyst to help modernize enterprise analytics within a Microsoft data environment.

This is more than a dashboard-development role. You’ll help shape the semantic models, KPI standards, reporting products, security controls, and reusable analytics foundations that enable leaders and operational teams to make trusted decisions.

Working across business stakeholders, data engineering, governance, and technical teams, you’ll have the opportunity to influence how analytics products are designed, modernized, governed, and adopted across the organization.

If you’ve built strong Power BI solutions and are ready for broader ownership, this role offers the opportunity to influence the analytics architecture, standards, modernization strategy, and product portfolio behind those solutions—not just the final visualization.

What You’ll Do

Lead the design and modernization of enterprise analytics and business intelligence solutions using Power BI and Microsoft Fabric

Shape governed semantic models, shared datasets, KPI definitions, and reusable analytical components

Build and optimize executive, operational, and compliance reporting that supports mission and business decisions

Modernize legacy reporting by evaluating usage, redundancy, technical debt, performance, and opportunities for consolidation

Standardize fragmented dashboards and reports into scalable enterprise analytics products

Develop advanced DAX measures, calculations, business logic, and Power Query transformations

Secure analytics products through row-level and object-level access controls aligned with data-governance requirements

Enable self-service analytics while maintaining appropriate security, governance, and data-quality controls

Assess Power BI licensing, capacity, and deployment approaches based on organizational needs

Translate stakeholder needs into analytical requirements, functional specifications, user stories, and acceptance criteria

Partner across data engineering, governance, application, and source-system teams to move analytics products from requirements through adoption

Solve complex semantic-modeling, reporting, performance, reconciliation, and data-quality challenges

Influence analytics strategy, roadmap decisions, portfolio priorities, and reporting standards

Explore forecasting, predictive analytics, and AI-assisted analytics where they provide practical value

Support demonstrations, user acceptance testing, documentation, and adoption of analytics products

What Makes Someone Successful Here

We’re most interested in candidates who can discuss specific work they personally owned, the decisions they made, and the outcomes they helped deliver. You do not need to check every box.

A strong match will bring:

Deep hands-on capability with Microsoft Power BI

Strong command of DAX and Power Query

A track record building or maintaining semantic models and governed analytical datasets

Understanding of enterprise BI architecture, KPI design, and reporting standards

Familiarity with Microsoft Fabric or a comparable modern analytics platform

Ability to modernize, consolidate, or migrate reporting environments

Working knowledge of analytics security, governance, data quality, and access controls

Familiarity with row-level security or similar data-access models

Ability to translate business needs into practical, scalable analytical solutions

Strong stakeholder skills across requirements discovery, delivery, and adoption

Ability to troubleshoot analytical, modeling, performance, and data-quality issues

Clear communication across technical and non-technical audiences

Active Secret clearance

Helpful, Not Required

Additional strengths may include:

Advanced Microsoft Fabric semantic-modeling work

Microsoft Certified: Power BI Data Analyst Associate

Object-level security and enterprise Power BI governance

Dashboard portfolio rationalization or consolidation

Governed self-service analytics

Power BI licensing, capacity, or deployment strategy

Forecasting or predictive analytics

Copilot-assisted or other AI-enabled analytics capabilities

Data lineage, metadata management, or data cataloging

Federal, Department of Defense, education, or other regulated enterprise environments

Why Rackner

Rackner builds mission-critical technology for the U.S. government across cloud, data, DevSecOps, AI/ML, distributed systems, and modern software engineering.

Our teams work closely with technical leaders and mission stakeholders to solve complex operational problems, giving technical professionals meaningful ownership over how solutions are designed, modernized, and delivered.

Benefits & Perks

At Rackner, we invest in the growth, development, and success of our teams. Benefits include:

Company-supported professional certifications

401(k) with 100% match up to 6%

Comprehensive medical, dental, vision, life, and disability coverage

Generous PTO and paid holidays

Home-office equipment and remote-work support

Fitness and wellness reimbursement

Weekly pay

Professional growth and leadership opportunities

Equal Opportunity

Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.