Data Analytics & Engineering Specialist — Dashboards

UICGS / Bowhead Family of Companies; Bethesda (MD); On-site; USD 110,000 - 130,000; Full time

Job summary

Bowhead seeks a Data Analytics & Data Engineering Support Specialist to provide technical and analytical support in developing dashboards, reporting solutions, and data pipelines for ERP and government data platforms.

The success candidate will collaborate with cross-functional project teams to gather requirements, participate in user acceptance testing (UAT), validate outputs, and ensure high-quality, auditable data solutions that meet stakeholder needs.

Qualifications

• Bachelor’s degree or equivalent experience in a relevant field.
• 3–7+ years in data analytics, data engineering, or BI roles.
• Experience building dashboards in Power BI and/or Tableau.
• Strong SQL skills with relational databases.
• Experience with Python and ETL tooling; ERP data experience.
• Ability to support requirements sessions and UAT with clients.

Responsibilities

• Design, develop, and maintain dashboards and analytics reports using Power BI, Tableau, Excel, and SQL.
• Develop, optimize, and maintain data pipelines supporting dashboards and reports.
• Participate in requirements sessions with project teams and stakeholders.
• Support UAT activities, validate reporting outputs, and resolve issues.
• Ensure data accuracy and performance across reporting environments.
• Provide technical documentation and knowledge transfer as required.

Skills

Power BI

Power Query

Microsoft Excel

Tableau

Tableau Prep Builder

SQL

Python

Education

Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, Finance, or related field

Job description

Bowhead seeks a Data Analytics & Data Engineering Support Specialist to provide technical and analytical support in developing dashboards, reporting solutions, and data pipelines for ERP and government data platforms.

The success candidate will collaborate with cross-functional project teams to gather requirements, participate in user acceptance testing (UAT), validate outputs, and ensure high-quality, auditable data solutions that meet stakeholder needs.