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Power Bi Analyst Government Jobs (NOW HIRING)

The position combines technical BI development with financial and operational analysis to support data-driven decision-making across sales and leadership teams. Key Responsibilities and Duties Power ...

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ...

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Power BI Developer

Tallahassee, FL ยท On-site

$64 - $72/hr

Data Analysis & Data Modeling * Data Warehousing Concepts * Financial Reporting / ERP Data * Power BI Dataflows * Data Governance * Excel Reporting Automation Preferred Skills : * WebFOCUS

Power BI Analyst role - As a member of the Global Network team in the Infrastructure & Delivery Shared Services organization this position will be responsible for developing and fulfilling reporting ...

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... The Power BI Architect will lead the design, strategy, and governance of the enterprise BI platform ...

Be Seen First

Power BI Developer

Tallahassee, FL ยท On-site

$64 - $72/hr

Data Analysis & Data Modeling * Data Warehousing Concepts * Financial Reporting / ERP Data * Power BI Dataflows * Data Governance * Excel Reporting Automation Preferred Skills : * WebFOCUS

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Power Bi Analyst Government information

See salary details

$45.5K

$99.9K

$163.5K

How much do power bi analyst government jobs pay per year?

As of Jun 15, 2026, the average yearly pay for power bi analyst government in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What does a Power BI Analyst do in government?

A Power BI Analyst in government is responsible for collecting, analyzing, and visualizing data to support decision-making within public sector organizations. They use Microsoft Power BI to create interactive dashboards and reports that help agencies track performance, identify trends, and allocate resources effectively. Their work ensures that policymakers and stakeholders have access to accurate and timely information, enabling better transparency and governance.

What is the difference between Power Bi Analyst Government vs Power Bi Analyst Corporate?

AspectPower Bi Analyst GovernmentPower Bi Analyst Corporate
CredentialsTypically requires government-specific certifications and security clearancesUsually requires general data analysis certifications like Microsoft Certified Data Analyst Associate
Work EnvironmentPublic sector agencies, government departments, and agenciesPrivate companies, corporations, and business sectors
Employer & IndustryGovernment institutions, federal, state, or local agenciesPrivate sector businesses across various industries
Common Search & ComparisonOften compared based on security, compliance, and public sector data needsCompared on business insights, profitability, and corporate data strategies

The main difference between Power Bi Analyst Government and Power Bi Analyst Corporate lies in their work environment, required credentials, and industry focus. Government analysts often handle public sector data with specific security requirements, while corporate analysts focus on business insights for private companies. Both roles require strong Power BI skills but cater to different organizational needs.

How does a Power BI Analyst in a government setting typically collaborate with other departments or teams?

As a Power BI Analyst in government, you will frequently collaborate with a variety of departments, such as finance, public health, and operations, to gather data requirements and ensure accurate reporting. You may lead or participate in cross-functional meetings to understand stakeholders' needs and translate them into actionable dashboards and reports. Effective communication and the ability to explain complex data insights to non-technical staff are essential. This collaborative environment not only supports transparency and data-driven decision-making but also provides opportunities to learn from different areas within the public sector.

What are the key skills and qualifications needed to thrive as a Power BI Analyst in government, and why are they important?

To thrive as a Power BI Analyst in government, you need strong data analysis, data visualization, and report-building skills, typically supported by a degree in information systems, computer science, or a related field. Proficiency in Power BI, SQL, data modeling tools, and familiarity with secure data governance practices are essential, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Attention to detail, problem-solving abilities, and effective communication enable clear presentation of insights to both technical and non-technical stakeholders. These skills ensure accurate, secure, and actionable data-driven decisions that support government transparency and operational efficiency.
Infographic showing various Power Bi Analyst Government job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,864 per year, or $48 per hour.
Power BI Developer and Analyst

Power BI Developer and Analyst

Armor Animal Health

Beaver Dam, WI โ€ข On-site

Other

Posted 12 days ago


Job description

General Description
Creates, maintains, and manages interactive data visualizations, reports, and dashboards using Microsoft Power BI. They are responsible for data modeling, writing DAX queries, importing data, and optimizing dashboards for performance to support data-driven decision-making. This role typically involves ETL processes and SQL proficiency. This role owns the full lifecycle of business intelligence delivery, from data extraction and modeling to DAX development and executive-facing reporting. The position combines technical BI development with financial and operational analysis to support data-driven decision-making across sales and leadership teams.
Key Responsibilities and Duties
Power BI Developer
  • Data Preparation: Extracting, cleaning, and transforming raw data from various sources (SQL, Excel, APIs) using Power Query.
  • Data Modeling: Building and maintaining scalable data models, including complex relationships, hierarchies, calculated columns, and advanced DAX measures (e.g., tiered rebates, cumulative calculations, dynamic KPIs).
  • Report Creation: Build initial report layouts and dashboards, ensuring visual elements like charts and filters are correctly formatted.
  • Maintenance & Support: Monitor data refresh schedules, troubleshoot simple credential issues, and update existing reports as needed.
  • Documentation: Maintain technical records of data sources, transformation steps, report logic, modeling structure, and report definitions.
  • Performance Optimization: Improving dashboard efficiency and model performance through proper context management, optimized DAX, and structured data modeling practices.

Power BI Analyst
  • Requirements Gathering: Meet with business users to translate their abstract needs into specific technical reporting requirements.
  • Data Interpretation: Analyze reports to identify trends, patterns, and outliers that can drive business strategy.
  • Visual Storytelling: Use data to "tell a story" through dashboards that communicate Key Performance Indicators (KPIs) to non-technical stakeholders.
  • Data Validation: Ensure report accuracy by validating data against the original systems of record and resolving discrepancies.
  • Ad-hoc Analysis: Perform quick, high-priority data mining using SQL or Excel to answer urgent business questions.

Qualifications
  • Experience: Generally 5+ years of experience in business intelligence or data analysis.
  • Technical Skills: Spotfire, Strong SQL knowledge, proficiency in Power BI Desktop and Power Query, and familiarity with data warehousing concepts.
  • Analytical Skills: Ability to analyze large datasets and translate them into actionable business insights.
  • Tools: Familiarity with Fabric, DAX Studio, Tabular Editor, or other SQL tools and performance optimization tools.