Data Analyst

CACI•Norfolk, VA

3d•$75,200 - $158,100•Onsite

About The Position

CACI is hiring a Data Analyst / Data Scientist to support the United States Fleet Forces Command (USFFC) under the Naval Forces Logistics (NFL) II contract. The position is on-site at the NSA Hampton Roads location and bridges Navy logistics operations with data-driven decision-making. The analyst works with large volumes of structured and unstructured operational data to build reliable data pipelines, conduct exploratory analysis, and deliver executive-ready dashboards. The work includes hands-on data manipulation in modern cloud and enterprise data environments, including Databricks and ADVANA, and transforming data into actionable insights through enterprise visualization platforms. The role requires an active DoD Secret clearance, a relevant bachelor's degree plus at least five years of professional experience, or the stated education equivalency. The position is full-time and regular, with up to 10% local travel. The proposed salary range is $75,200–$158,100. CACI describes a flexible time-off benefit, learning resources, and benefits covering healthcare, wellness, financial and retirement support, family support, continuing education, and time off.

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.
At least five years of professional experience in addition to the stated education requirement.
Proficiency with modern programming languages such as JavaScript, Python, or R.
Hands-on experience building production dashboards and semantic models using Power BI, Tableau, Qlik Sense, Shiny, or Streamlit.
Hands-on experience with a modern cloud-based data and development platform such as Databricks, Snowflake, BigQuery, or equivalent, and managing workflows in cloud or enterprise data environments.
Advanced SQL skills, including complex joins, data aggregation, and query performance tuning.
Proficiency in Python or R for data wrangling, automation, and statistical analysis.
As an education substitute, ten years of industry experience in data science; this equivalency experience is in addition to the minimum experience of the labor category.

Nice To Haves

Direct, proven experience using the DoD War Data Platform (ADVANA) for data extraction, querying, and integration.
Experience with Maven Smart System or Palantir Foundry, including Slates, Workshop, and Ontology workflows.
Prior experience supporting Navy logistics or fleet readiness, or familiarity with Navy Automated Information Systems such as DRRS, ERP, SABRS, or GCSS.
Familiarity with modern data modeling, including Star Schema, Snowflake Schema, or Kimball methodology, or with Medallion Architecture (Bronze/Silver/Gold layers).
Certifications such as 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 tools such as Power BI, Tableau, and Qlik Sense to provide operational and logistical visibility to military leadership.
Translate military logistics and operational requirements into functional analytics products and actionable KPIs.
Clean, wrangle, and organize complex datasets using SQL and Python or PySpark for 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, including the War Data Platform (ADVANA).
Collaborate with data engineers and operational stakeholders to support data accuracy, pipeline reliability, and data governance standards.
Conduct exploratory analysis and deliver executive-ready dashboards and actionable insights.