Data Analytics & Engineering: Dashboards & Pipelines

Bowhead; North Bethesda (MD); Sur place; USD 110 000 - 160 000; Plein temps

Résumé du poste

Bowhead seeks a Data Analytics & Data Engineering Support Specialist to provide technical and analytical support in the development of dashboards, reporting solutions, and data pipelines across enterprise financial and operational reporting initiatives.

You will collaborate with cross-functional teams, participate in UAT, validate outputs, ensure data quality, and document solutions to meet stakeholder needs using Power BI, Tableau, SQL, Python, and related tools.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, Finance, or related field (or equivalent experience).
• 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.

Responsabilités

• Design, develop, and maintain dashboards and analytics reports using Power BI, Power Query, Excel, Tableau, Tableau Prep Builder, SQL, and Python.
• Develop, optimize, and maintain data pipelines supporting dashboards and reports.
• Participate in requirements gathering 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.

Connaissances

Power BI

Tableau

SQL

Python

ETL

Excel

Data visualization

Data pipelines

Formation

Bachelor's degree

Outils

Tableau Prep Builder

Power Query

Description du poste

Bowhead seeks a Data Analytics & Data Engineering Support Specialist to provide technical and analytical support in the development of dashboards, reporting solutions, and data pipelines across enterprise financial and operational reporting initiatives.

You will collaborate with cross-functional teams, participate in UAT, validate outputs, ensure data quality, and document solutions to meet stakeholder needs using Power BI, Tableau, SQL, Python, and related tools.