Data Analytics & Data Engineering Support Specialist

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.
• Experience working with ERP financial data.
• Ability to support requirements sessions and UAT activities in a client-facing environment.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience working with government financial systems and reporting environments.
• Familiarity with Advana/Jupiter or Enterprise Digital Capabilities (EDC).
• Experience supporting DoD or federal financial management initiatives.
• Understanding of financial reconciliation and data validation methodologies.
• Knowledge of Agile or iterative development methodologies.

Core Competencies

• Data modeling and pipeline architecture
• Financial data analysis and validation
• Dashboard design and data visualization best practices
• Stakeholder communication and collaboration
• Detail-oriented with strong data quality focus

Target salary range is $110,000 - $130,000 commensurate with experience

Please note that the salary information is a general guideline only. Bowhead considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

Physical Demands:

• Must be able to lift up to 25 pounds
• Must be able to stand and walk for prolonged amounts of time
• Must be able to twist, bend and squat periodically

SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. ship is a requirement for Secret clearance at this location.

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