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# Data Analyst

- **Company:** Caci Inc
- **Location:** Norfolk, VA, United States
- **Experience:** Expert
- **Salary:** $75,200.0 - $158,100.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, JavaScript (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, CompTIA Security+, Information Systems, Computer Programming, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Normalization, Data Visualization, Database Queries, R (Programming Language), Python (Programming Language), Apache Maven, Operational Data Store, Performance Tuning, Power BI, SQL Databases, Systems Integration, Tableau (Software), Enterprise Data Management, Automated Information System (AIS), Qliksense, Data Processing, Sql Optimization, Snowflake, Palantir Foundry, Pyspark, Information Technology, Star Schema, Data Management, Streamlit Framework, Data Pipelines, Databricks, Programming Languages
- **Published:** October 26, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9262510/data-analyst

## About the Role

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, BigQuery, 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, Snowflake Schema, Kimball methodology) or Medallion Architecture (Bronze/Silver/Gold layers).
 * Certifications: CompTIA Security+, Microsoft Certified: Power BI Data Analyst Associate, Databricks Certified Associate, or AWS/Azure Cloud certifications

## Description

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., 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.