Data Analyst

CACI•Norfolk, VA

25d•$75,200 - $158,100•Onsite

About The Position

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.

Requirements

Current and active DoD Secret Clearance.
Bachelor’s degree in Computer Science, Data Science, Operations Research, Statistics, Mathematics, Information Systems, or a related technical field.
Minimum of five years of professional experience and be proficient with one or more programming languages (Java, C++, Python, R, etc.).
Demonstrated hands-on experience building production dashboards and semantic models in Power BI (including DAX and Power Query) and Qlik (Qlik Sense).
Hands-on experience working in Databricks (PySpark/Spark SQL) and managing data workflows in cloud/enterprise data environments.
Direct, proven experience utilizing the DoD War Data Platform (ADVANA) for data extraction, querying, and integration.
Advanced SQL skills for writing complex joins, data aggregation, and query performance tuning.
Proficiency in Python or R for data wrangling, automation, and statistical analysis.

Nice To Haves

Experience with Maven Smart System or Palantir Foundry (including Slates, Workshop, and Ontology workflows).
Prior experience supporting Navy logistics, fleet readiness, or familiarity with Navy Automated Information Systems (e.g., DRRS, ERP, SABRS, or GCSS).
Familiarity with modern data modeling (Star Schema, Snowflake Schema, Kimball methodology) or Medallion Architecture (Bronze/Silver/Gold layers).
CompTIA Security+, Microsoft Certified: Power BI Data Analyst Associate, Databricks Certified Associate, or AWS/Azure Cloud certifications

Responsibilities

Develop, maintain, and enhance interactive dashboards and reports using Power BI and Qlik Sense to provide clear operational and logistical visibility to military leadership.
Conduct exploratory and statistical analysis against complex datasets to identify trends, operational bottlenecks, and supply chain efficiencies.
Translate complex military logistics and operational requirements into functional analytics products and actionable KPIs.
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.