MANTECH

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.