Associate BI Analytics Engineer

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:

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

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

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

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

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

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

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

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Minimum Qualifications:

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  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.

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

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

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

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

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Preferred Qualifications:

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  Basic knowledge of Python or R for data analysis.

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

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  Familiarity with version control tools like Git.

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

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Clearance Requirements:

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  US Citizenship

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Physical Requirements:

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

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

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  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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