Data Analyst

MANTECH; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

MANTECH seeks a motivated, career- and customer-oriented Data Analyst to join our Data and AI Practice. This is a remote position with a preference for candidates located in the National Capital Region.

You will mine data, prepare analyses and reports, and help assess data quality and business impact. You will support data scientists and consultants on project tasks and develop actionable solutions for customers.

Qualifications

• Four (4) years relevant experience in applied research, big data analytics, statistics, or related quantitative discipline.

Responsibilities

• Data mining, data preparation, and reporting.
• Prepares analyses and studies, needs/gaps assessments.
• Applies knowledge to determine the accuracy of data, recommendations, and solutions.
• Documents and summarizes results and develops recommended solutions for customers.
• Prepares big data, implements data models, and provides database support for customer solutions.
• Supports data scientists or consultants on project tasks.

Skills

Data mining

Data preparation

Reporting

Data analysis

Statistics

Machine learning basics

Communication skills

Education

Statistics degree

Applied Mathematics

Data Science

Computer Science

Operations Research

Tools

Qlik

Tableau

Power BI

Databricks

Job description

MANTECH seeks a motivated, career and customer-oriented Data Analyst to join our Data and AI Practice. This is a remote position with a preference for candidates located in the National Capital Region.

Responsibilities Include But Are Not Limited To

• Responsible for data mining, data preparation, and reporting.
• Prepares and conducts analyses and studies, needs/gaps assessments.
• Applies knowledge to determine the accuracy and reasonableness of the data, recommendations, and solutions proposed.
• Documents and summarizes the results and develops and recommended solutions to the customer’s problems.
• Prepares big data, implements data models developed by others, and provides database support for customer solutions.
• Serves as a key member of a data science project team, supporting data scientists or other consultants in the performance of assigned tasks.

Minimum Qualifications

• Four (4) years relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least two (2) years of experience applied data science research or big data analytics.
• Bachelor’s Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related scientific or technical discipline A Master’s degree may be substituted for up to two (2) years of relevant experience. A PhD may be substituted for experience.
• Experience with data mining methods, databases, data visualization and machine learning.
• Ability to travel for initial onboarding and laptop pickup (estimated 1 day)

Preferred Qualifications

• Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA), and NLP concepts (including preprocessing, TF-IDF, Named Entity Recognition, and LLMs)
• Expertise with Qlik and/or other BI tools such as Tableau and PowerBI.
• Familiarity with Databricks or similar cloud-based distributed database technologies
• Strong SQL skills and demonstrated experience with cleaning, management, optimizing performance and processing large volumes of data.
• Excellent communication skills both verbal and written.

Clearance Requirements

• TS or CBP BI or DHS Suitability (clearance adjudicated within the past 4 years)

Physical Requirements

• The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.