Senior Data Analyst

Data Intelligence LLC; Quantico (VA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401k

Paid Time Off (PTO)

11 paid holidays

Job summary

Data Intelligence LLC is looking for a Senior Data Analyst to work at NCIS Headquarters in Quantico, VA. This role involves advanced data analytics, statistical modeling, and providing data-driven solutions to support intelligence efforts. The successful candidate will have a Master's degree in a relevant field and at least 10 years of experience. Benefits include competitive salaries, medical, dental, vision insurance, 401k, and paid holidays in a team-oriented environment.

Qualifications

• Minimum 10 years of professional experience in data science or advanced analytics.
• Experience with software integration or testing.
• Strong foundation in complex mathematical and statistical concepts.
• Proficiency in data manipulation and visualization.

Responsibilities

• Develop, implement, and maintain advanced data science and analytics solutions.
• Design and execute data analysis workflows using statistical and mathematical modeling techniques.
• Build and manage ETL pipelines for data handling.
• Collaborate with cross‑functional teams to deliver scalable analytics solutions.

Skills

Data science methodologies

Statistical modeling

Software integration

Python

R

SQL

NoSQL

ETL pipelines

APIs development

Data visualization

Education

Master’s degree in Data Science or related field

Tools

Jupyter Notebook

Pandas

NumPy

Requests

Job description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data‑driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.

Key Responsibilities

• Develop, implement, and maintain advanced data science and analytics solutions
• Design and execute data analysis workflows using statistical and mathematical modeling techniques
• Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
• Develop and integrate APIs and data services to support enterprise analytics platforms
• Perform software integration and testing, including development and execution of test plans and scripts
• Utilize Python, R, and other scripting languages for data analysis and automation
• Apply data mining, graph algorithms, and statistical techniques to support mission objectives
• Work with SQL and NoSQL databases, search indexes, and web application servers
• Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
• Create data visualizations and dashboards using spreadsheets and other tools
• Collaborate with cross‑functional teams to deliver scalable and secure analytics solutions

Required Qualifications

• Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or related field
• Minimum 10 years of professional experience in data science or advanced analytics
• Experience with software integration or testing, including analyzing and implementing test plans and scripts
• Strong experience with scripting languages such as Python and R
• Experience with data science, data mining, statistics, and graph algorithms
• Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
• Experience using tools and frameworks such as Python, Jupyter Notebook, Pandas, NumPy, Requests
• Strong foundation in complex mathematical and statistical concepts
• Experience applying statistical analysis and operations research methodologies
• Proficiency in data manipulation and visualization using spreadsheets and related tools

Certifications (Preferred)

• CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+
• Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE
• Certificate of Cloud Security Knowledge (CCSK)
• EMC Data Science Associate (EMCDSA)
• Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP)
• Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH)
• Certified Information Systems Security Professional (CISSP)

Benefits

Data Intelligence offers competitive salaries, comprehensive benefits, a team‑oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran’s organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.