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Data Analyst

Job in Norfolk, Virginia, 23500, USA
Listing for: CACI International Inc
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Data Scientist
Salary/Wage Range or Industry Benchmark: 75200 - 158100 USD Yearly USD 75200.00 158100.00 YEAR
Job Description & How to Apply Below
Job Title:

Data Analyst Job Category:
Information Technology Time Type:
Full time Minimum Clearance Required to Start:
Secret Employee Type:
Regular Percentage of

Travel Required:

Up to 10%
Type of Travel:
Local*
*
* The Opportunity:

CACI has an immediate opening for a Data Analyst / Data Scientist supporting the United States Fleet Forces Command (USFFC) under the Naval Forces Logistics (NFL) II contract, on-site at the NSA Hampton Roads location. In this role, you will bridge the gap between complex Navy logistics operations and data‑driven decision-making by working with large volumes of structured and unstructured operational data to build reliable data pipelines, conduct exploratory analysis, and deliver intuitive, executive-ready dashboards.

A key component of the position involves hands-on data manipulation in modern cloud and enterprise data environments such as Databricks and ADVANA, transforming data into actionable insights using enterprise visualization platforms.

Responsibilities:

Data Science & Advanced Analytics Analytics & Business Intelligence:

Develop, maintain, and enhance interactive dashboards and reports using Data Visualization Tools such as Power BI, Tableau and Qlik Sense to provide clear operational and logistical visibility to military leadership.

Translate complex military logistics and operational requirements into functional analytics products and actionable KPIs.Data Engineering & Platform Integration:

Clean, wrangle, and organize complex datasets using SQL and Python (or PySpark) to support downstream reporting and analytical models.

Build and streamline ETL/ELT pipelines and data models within Databricks and cloud data repositories.

Ingest, transform, and integrate multi-source DoD datasets across enterprise environments, specifically utilizing the War Data Platform (ADVANA).Collaborate with data engineers and operational stakeholders to ensure data accuracy, pipeline reliability, and adherence to data governance standards.

Qualifications:

Required:

Clearance:
Current and active DoD Secret Clearance.

Minimum Education:

Bachelor’s degree in Computer Science, Data Science, Operations Research, Statistics, Mathematics, Information Systems, or a related technical field.

Minimum Experience:

In addition to the education requirements above, must have a minimum of five years of professional experience and be proficient with modern programming languages (JavaScript, Python, R, etc.).Education Equivalency:
As a substitute, ten years of industry experience in data science. Education equivalency experience is in addition to the minimum experience of the labor category.

Enterprise BI & Visualization:
Demonstrated hands-on experience building production dashboards and semantic models in Power BI, Tableau, Qlik Sense, Shiny, or Streamlit.

Modern Data Platforms:
Hands-on experience working in a modern cloud-based data and development platform such as Databricks, Snowflake, Big Query, or equivalent, and managing data workflows in cloud/enterprise data environments.

Database & Querying

Skills:

Advanced SQL skills for writing complex joins, data aggregation, and query performance tuning.

Programming:
Proficiency in Python or R for data wrangling, automation, and statistical analysis.

Desired:

DoD War Data Platforms:
Direct, proven experience utilizing the DoD War Data Platform (ADVANA) for data extraction, querying, and integration.

Advanced Platforms:

Experience with Maven Smart System or Palantir Foundry (including Slates, Workshop, and Ontology workflows).Domain

Experience:

Prior experience supporting Navy logistics, fleet readiness, or familiarity with Navy Automated Information Systems (e.g., DRRS, ERP, SABRS, or GCSS).Data Architecture:
Familiarity with modern data modeling (Star Schema,…
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