Data Analyst

MANTECH

2d•$104,200 - $172,900•Remote

About The Position

MANTECH International Corporation seeks a motivated, customer-oriented Data Analyst to join its Data and AI Practice. This fully remote position supports a Federal customer with repeatable data manipulation, large-scale data ingestion infrastructure, and interactive data visualization for custom client applications. Candidates located in the National Capital Region are preferred. Travel is required for initial onboarding and laptop pickup, estimated at one day.

Requirements

At least four years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research, or a closely related quantitative or mathematical discipline.
At least two years of experience 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 closely related scientific or technical discipline. A master's degree may substitute for up to two years of relevant experience; a PhD may substitute for experience.
Experience with data mining methods, databases, data visualization, and machine learning.
Ability to travel for initial onboarding and laptop pickup, estimated at one day.
TS or CBP BI or DHS Suitability clearance, adjudicated within the past two years.

Nice To Haves

Experience with anomaly detection, clustering, time-series techniques such as ARIMA, and NLP concepts including preprocessing, TF-IDF, Named Entity Recognition, and LLMs.
Expertise with Qlik and/or BI tools such as Tableau and Power BI.
Familiarity with Databricks or similar cloud-based distributed database technologies.
Strong SQL skills and demonstrated experience with cleaning, managing, optimizing performance, and processing large volumes of data.
Excellent verbal and written communication skills.

Responsibilities

Perform data mining, data preparation, and reporting.
Prepare and conduct analyses, studies, and needs/gaps assessments.
Assess the accuracy and reasonableness of data, recommendations, and proposed solutions.
Document and summarize results and develop recommended solutions to customer problems.
Prepare big data, implement data models developed by others, and provide database support for customer solutions.
Support data scientists and other consultants as a key member of a data science project team.