Data Analyst

MANTECH is hiring a Data Analyst to support a Federal customer with data manipulation, data ingestion infrastructure, and interactive data visualization. The role includes preparing and analyzing data, implementing data models, supporting databases, and contributing to data science project work.

Responsibilities:

• 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

Requirements:

• 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
• CBP/BI Suitability which is required to start
• 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
• Top Secret preferred