Data Analyst

MANTECH; United States; Remote; USD 95,000 - 140,000; Full time

Benefits offered by this job

Fully remote

Health insurance

Paid time off

Retirement savings

Learning opportunities

Wellness programs

Onboarding travel

Job summary

MANTECH is seeking a data analytics professional to prepare and analyze large datasets for a federal customer, supporting repeatable data workflows, ingestion infrastructure, and interactive visualizations.

You will document findings and translate analyses into practical recommendations alongside data scientists and consultants, with remote, full-time work and minimal travel for onboarding. A strong background in statistics or related fields is essential.

Qualifications

• Bachelor's degree in statistics, applied mathematics, data science, computer science, operations research, or a related technical discipline.
• Master's degree may replace up to two years of experience.
• PhD may substitute for experience.
• Experience with data mining, databases, visualization, machine learning, and techniques such as anomaly detection, clustering, time-series analysis, and NLP.

Responsibilities

• Mine, prepare, and report on data, including analyses, studies, and needs/gap assessments.
• Check data quality and assess reasonableness of proposed findings and solutions.
• Summarize results and develop recommendations addressing customer problems.
• Prepare large datasets, implement data models, and provide database support.
• Contribute to project work with data scientists and other consultants.

Skills

Data mining

Databases

Visualization

Machine learning

NLP

SQL

Big data

Education

Bachelor's degree in statistics/applied mathematics/data science/computer science/OR related

Master's degree may replace up to two years of experience

PhD may substitute for experience

Tools

Qlik

Tableau

Power BI

Databricks

Job description

Role overview

Prepare and analyze large datasets for a federal customer, supporting repeatable data workflows, ingestion infrastructure, and interactive visualizations. The role also documents findings and helps translate analysis into practical recommendations alongside data scientists and consultants.

Responsibilities

• Mine, prepare, and report on data, including conducting analyses, studies, and needs or gap assessments.
• Check data quality and assess whether proposed findings, recommendations, and solutions are reasonable.
• Summarize results and develop recommendations addressing customer problems.
• Prepare large datasets, implement data models designed by others, and provide database support.
• Contribute to project work with data scientists and other consultants.

Requirements

• At least four years of relevant experience in a quantitative or technical field, including two years in applied data science research or big data analytics.
• A bachelor’s degree in statistics, applied mathematics, data science, computer science, operations research, or a related technical discipline. A master’s degree may replace up to two years of experience, and a PhD may substitute for experience.
• Experience with data mining, databases, visualization, machine learning, and techniques such as anomaly detection, clustering, time-series analysis, and NLP.
• Experience with Qlik, Tableau, Power BI, or similar BI tools, and familiarity with Databricks or another distributed data platform.
• Strong SQL skills, including cleaning and managing data, performance optimization, and large-scale processing; strong written and verbal communication.

Benefits and work setup

• Fully remote, full-time position, with preference for candidates in the National Capital Region.
• One day of travel may be needed for initial onboarding and equipment pickup.
• Benefits may include health and life insurance, paid time off, holidays, disability coverage, retirement savings, learning opportunities, and wellness programs.