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Data Analyst

Job in Morristown, Morris County, New Jersey, 07960, USA
Listing for: Blue Raven Solutions
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 USD Yearly USD 80000.00 YEAR
Job Description & How to Apply Below

Salary Range: $80,000.00 to $ Annually

Title

Data Analyst

Department

Information Technology

Reports To

Director, Data Science

FLSA Status

Exempt

Job Description Revision

5/4/2026

Basic Functions

The Data Analyst will support the development of analytical solutions, build and maintain the dashboards that drive day-to-day operations, and partner with stakeholders across the business to turn data into decisions. As part of Blue Raven’s Digital Services team, this role will support data driven decision-making across the organization. This individual has the responsibility and authority to carry out all assigned tasks.

Specific Duties
  • Own the design, development, and ongoing maintenance of Domo dashboards that serve as primary operational and strategic decision-making tools across the business.
  • Conduct end-to-end analyses on business questions spanning DLA procurement activity, OEM partner analytics, modeling and forecasting, adhoc business needs.
  • Write production-quality SQL against our data warehouse to support both ad hoc analysis and recurring reporting.
  • Develop Python scripts and automated workflows to streamline data processing, validation, and analytical pipelines.
  • Build and extend Domo dataflows, Magic

    ETL transformations, and Beast Modes; contribute JavaScript-based custom visualizations and dashboard enhancements where standard tooling falls short.
  • Partner directly with stakeholders across Triman, CTG, and corporate functions to scope analytical needs, deliver insights, and drive adoption of data products.
  • Take ownership of data quality across deliverables - including rigorous validation, reconciliation, and QA - before work leaves your hands.
  • Document analytical methodology, data sources, business rules, and assumptions clearly enough that your work can be understood, audited, and built upon by others.
  • Identify opportunities to improve our analytics capabilities, dashboard performance, and data infrastructure, and bring those forward proactively.
  • This individual has the responsibility and authority to carry out all assigned tasks.
Standard Requirements

Comply with all requirements of International Standard ISO
9001 and ISO
27001, NIST 800-171, CMMC – Cyber Security and Informational Data Security Requirements. Aerospace Management System Standards AS9100, AS9120, IDEA-QMS-9090, ASA-100 and supporting construct standards AS6081, IDEA-STD-1010, AC7402-CAAP, CCAP-101, FAA AC00-56, ANSI/ESD S20.20 and C-TPAT. All employees shall commit and comply with the requirements of AS5553 for Counterfeit Electrical, Electronic and Electromechanical (EEE) Parts – Avoidance, Detection, Mitigation and Disposition practices.

Education / Experience / Competency
  • 2-4 years of professional experience in a data analyst, business analyst, or comparable role with substantive hands‑on analytical work.
  • Strong SQL skills (Postgre

    SQL or similar), with the ability to write performant queries against complex schemas.
  • Hands‑on Python experience for data manipulation, automation, and analysis (pandas, Num Py, SQL Alchemy, or equivalent).
  • Demonstrated experience building and maintaining production dashboards in Domo (preferred) or comparable BI platforms (Tableau, Power BI, Looker).
  • A track record of owning analytical work end-to-end, including scoping with stakeholders, executing analysis, validating outputs, and presenting findings clearly.
  • Strong written and verbal communication skills, including the ability to translate technical findings into business language.
  • High attention to detail and a habit of validating your own work before sharing it.
  • Experience with Apache Airflow or similar workflow orchestration tools, preferred.
  • FP&A experience.
  • Familiarity with supply chain, defense, aerospace, or distribution analytics.
  • Experience working with government data sources (DLA, federal procurement data).
Training Requirements

All trainings outlined for this job description are identified within the company’s training matrix, located within the learning management tool with each individual’s pre‑requisite.

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