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Dax Jobs in Virginia (NOW HIRING)

Experience creating reports, using Power Query, and understanding basic DAX functions within Power BI. * Solid understanding of relational databases and the ability to write clean SQL queries to ...

Advanced level of proficiency in Power BI, including Power Query and DAX, Excel (advanced), and data visualization best practices. * Some data modeling and data manipulation skills to maintain data ...

Develop advanced DAX calculations and optimize data models, SQL queries, and reporting solutions for performance, scalability, and usability * Design and deliver executive dashboards and interactive ...

New

PMO Technical Analyst

Lynchburg, VA · On-site

$60 - $65/hr

DAX. * Data modeling. * Project Management methodologies. Qualification And Education: * Bachelor's degree in Business, Information Systems, Project Management, or a related field (or equivalent ...

PMO Technical Analyst

Lynchburg, VA · On-site

$60 - $65/hr

DAX. Data modeling. Project Management methodologies. Qualification And Education: Bachelor's degree in Business, Information Systems, Project Management, or a related field (or equivalent ...

Develop SSIS packages Required Skills * 5+ years of experience with developing SQL and SSIS * 5+ years of experience with BI tool including MDX, SSAS, SSRS, DAX * Agile experience Bonus * Hadoop ...

Develop SSIS packages Required Skills * 5+ years of experience with developing SQL and SSIS * 5+ years of experience with BI tool including MDX, SSAS, SSRS, DAX * Agile experience Bonus * Hadoop ...

Showing results 21-40

Dax information

See Virginia salary details

$9

$15

$21

How much do dax jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for dax in Virginia is $15.92, according to ZipRecruiter salary data. Most workers in this role earn between $13.37 and $17.40 per hour, depending on experience, location, and employer.

What is a DAX professional?

DAX professionals are experts who specialize in using Data Analysis Expressions (DAX), a formula language primarily used in Microsoft Power BI, SQL Server Analysis Services (SSAS), and Excel Power Pivot. They are skilled in creating advanced calculations, data models, and analytics to help organizations gain insights from their data. DAX professionals often work closely with business intelligence teams to design, implement, and optimize data solutions for better decision-making.

What are the key skills and qualifications needed to thrive as a DAX specialist?

To thrive as a DAX Specialist, you need strong analytical skills, in-depth knowledge of DAX language, and experience with data modeling, often supported by a background in business intelligence or computer science. Familiarity with Microsoft Power BI, SQL Server Analysis Services (SSAS), and relevant certifications like Microsoft Certified: Data Analyst Associate are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills ensure accurate data analysis, optimized performance, and impactful business decisions driven by reliable data models.

What are some common challenges faced by DAX developers when optimizing complex Power BI reports?

DAX developers often encounter challenges related to performance optimization, especially when working with large datasets or intricate calculations in Power BI. Issues such as slow report loading times can arise from inefficient DAX queries, improper data modeling, or non-optimal use of measures and calculated columns. To address these challenges, developers typically need to analyze query plans, leverage best practices for data modeling, and continuously test performance impacts of their DAX expressions. Collaboration with data engineers and report designers is also crucial to ensure that the final dashboards are both efficient and user-friendly.

What is the difference between Dax vs Data Analyst?

AspectDaxData Analyst
Required CredentialsProficiency in DAX formulas, Power BI certificationsBachelor's degree in data-related field, sometimes certifications in data analysis tools
Work EnvironmentPrimarily within Power BI, Excel, and data modeling tasksData visualization, reporting, and analysis across various tools and platforms
Employer & Industry UsageUsed mainly in BI teams, finance, and analytics departmentsFound across industries for data-driven decision making
Common Search & ComparisonOften compared for technical skills and tool proficiencyCompared for analytical skills and business insights

In summary, Dax is a specialized skill focused on creating formulas within Power BI and Excel, while a Data Analyst has broader responsibilities in analyzing data, generating reports, and providing insights across various tools and platforms. Both roles often overlap but serve different core functions in data-driven organizations.

Infographic showing various Dax job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $33,116 per year, or $15.9 per hour.

Associate BI Analytics Engineer

MANTECH

Herndon, VA • On-site

Full-time

Posted 8 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks an enthusiastic, detail-oriented Associate BI Analytics Engineer to join our Enterprise Data Analytics team in Herndon, VA. This is a hybrid position, requiring on site presence at least 2 days a week.

This role supports the build and maintenance of the data foundation that drives strategic decision-making across the enterprise. As an entry-level position, you will work closely with senior engineers and stakeholders to deliver high-quality analytical solutions while growing your skills in business intelligence, data modeling, and modern data engineering pipelines.

Responsibilities to include but not limited to:

  • Create, customize, and maintain visually compelling, intuitive, and high-performing Power BI dashboards and reports for internal stakeholders.

  • Assist in building and optimizing robust semantic models within Power BI using Star Schema design principles and basic DAX.

  • Support the team in maintaining, monitoring, and troubleshooting automated data engineering pipelines to ensure data accuracy and availability.

  • Validate data continuity and accuracy between source systems and reporting layers.

  • Work with business analysts and end-users to understand reporting requirements and document data definitions.

  • Collaborate with team members to translate technical data concepts into clear insights for non-technical stakeholders.

  • Participate in mentorship opportunities and continuously improve technical workflows within the team.

Minimum Qualifications:

  • High School Diploma/GED with 3+ years of experience, or a bachelor’s degree in computer science, Data Analytics, Information Systems, Mathematics, Economics, or a related field with 0-2 years of experience.

  • Experience creating reports, using Power Query, and understanding basic DAX functions within Power BI.

  • Solid understanding of relational databases and the ability to write clean SQL queries to extract and manipulate data.

  • Basic understanding of data warehousing concepts, dimensional modeling, and ETL/ELT processes.

  • Strong problem-solving skills with an analytical mindset and a keen eye for data trends or anomalies.

Preferred Qualifications:

  • Basic knowledge of Python or R for data analysis.

  • Exposure to cloud data platforms such as Microsoft Fabric or Databricks.

  • Familiarity with version control tools like Git.

  • Strong design sensibility regarding UI/UX layout, color theory, and data visualization best practices.

Clearance Requirements:

  • US Citizenship

Physical Requirements:

  • Must be able to remain in a stationary position 50% of the time.

  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.

  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.


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