Data Analytics & Data Engineering Support Specialist

Bowhead; Bethesda (MD); On-site; USD 90,000 - 150,000; Full time

Job summary

Bowhead seeks a Data Analytics & Data Engineering Support Specialist to design, develop, and maintain dashboards using Power BI, Tableau, and Excel. You will build and optimize data pipelines, gather requirements, and support UAT to ensure accurate reporting.

You will work with ERP data, validate data quality, and collaborate with cross-functional teams to meet compliance and audit standards across enterprise data platforms.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 3-7+ years in data analytics, data engineering, or BI.
• Experience developing dashboards in Power BI and Tableau.
• Strong SQL proficiency with relational databases.
• Experience building data pipelines using Python and ETL tools.

Responsibilities

• Design, develop, and maintain dashboards and analytics reports using Power BI, Tableau, and Excel.
• Develop, optimize, and maintain data pipelines supporting dashboards and reports.
• Participate in requirements sessions with project teams and stakeholders.
• Support UAT activities, including validation of reporting outputs and issue resolution.
• Ensure data accuracy, consistency, and performance across reporting environments.
• Provide technical documentation and knowledge transfer as required.
• Analyze ERP data and build data pipelines integrating ERP data into analytics platforms.
• Collaborate with financial and functional stakeholders to meet operational and audit standards.

Skills

Dashboard development

Data analytics

UAT coordination

Data validation

Stakeholder collaboration

Education

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

Tools

Power BI

Tableau

Power Query

Microsoft Excel

Tableau Prep Builder

SQL

Python

Job description

Overview

Data Analytics & Data Engineering Support Specialist (C80-2026-26466)

Bowhead seeks a Data Analytics & Data Engineering Support Specialist to provide technical and analytical support in the development of dashboards, reporting solutions, and associated data pipelines. This role will support enterprise-level financial and operational reporting initiatives, including ERP data integration, validation, and analytics within government data platforms. The selected candidate will collaborate with cross-functional project teams to gather requirements, participate in user acceptance testing (UAT), and ensure high-quality data solutions that meet stakeholder needs.

Responsibilities

Job duties to include but not limited to:

• Design, develop, and maintain dashboards and analytics reports using:
  • Power BI
  • Power Query
  • Microsoft Excel
  • Tableau
  • Tableau Prep Builder
  • SQL
  • Python
• Develop, optimize, and maintain underlying data pipelines supporting dashboards and reports.
• Participate in requirements gathering sessions with project teams and stakeholders.
• Support User Acceptance Testing (UAT) activities, including validation of reporting outputs and issue resolution.
• Ensure data accuracy, consistency, and performance across reporting environments.
• Provide technical documentation and knowledge transfer as required.

Financial & ERP Data Support

• Analyze financial data sourced from Enterprise Resource Planning (ERP) systems.
• Build and maintain data pipelines integrating ERP data into analytics platforms.
• Conduct data validation and reconciliation of ERP data within:
  • Jupiter/Advana
  • Enterprise Digital Capabilities (EDC)
• Support compliance with requirements outlined in C.4.9.10, C4.1.1, C4.1.2, and CDRL A002.
• Collaborate with financial and functional stakeholders to ensure reporting solutions meet operational and audit standards.
• Other duties as assigned

Qualifications

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, Finance, or related field (or equivalent experience).
• Three to more than 7 (3-7+) years of experience in data analytics, data engineering, or business intelligence roles.
• Demonstrated experience developing dashboards in Power BI and/or Tableau.
• Strong proficiency in SQL and experience working with relational databases.
• Experience developing data pipelines using Python and ETL tools.