ManTech International

Data Analyst

ManTech International$104K — $172K *
Education, Government & Non-Profit
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data analysis; BA can account for 3 years, MA/MS can account for an additional 2 years.
  • Proficient in preparing data and performing statistical analysis on large geospatial datasets.
  • Skilled in programming tools such as Python, R, SQL, GIS, or Tableau.
  • Experienced in developing visualizations to convey complex analytical results to diverse audiences.

Responsibilities

  • Collaborate on enhancing workflows and automating standard processes for greater efficiency.
  • Lead projects using mathematical and statistical methods to derive insights from operational data.
  • Support data analytics by ensuring data cleaning and transformation processes are efficient and effective.
  • Apply analytic methods to address intelligence questions and mission requirements.
  • Build tools to visualize data metrics and track progress towards government goals.
  • Design systems to monitor and report data pipeline movements in a timely manner.
  • Develop automated checks for continuous support of data processing and management.

Benefits

  • Health Insurance
  • Life Insurance
  • Paid Time Off
  • Holiday Pay
  • Short-term and long-term Disability
  • Retirement and Savings
  • Learning and Development opportunities
  • Wellness programs and optional benefit elections
Full Job Description
Description & Requirements

***This is for a future opportunity***

MANTECH seeks a motivated, career and customer-oriented Data Analyst to join our team in Springfield, VA. This is a full-time onsite position. The Data Analyst shall support the maintenance of data holdings, ensure compliance to data standards, and perform quantitative analysis of data. Data analysis will involve transforming data, developing visuals to assist with data understanding, and conducting analysis to make recommendations on data strategies to improve Machine Learning (ML) model development.

Responsibilities include, but are not limited to:
  • Collaboration to enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity.
  • Lead and conduct projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data.
  • Support data analytics, data cleaning, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities.
  • Apply statistical and analytic methods to support answering intelligence questions, mission requirements, and advanced data analysis.
  • Build lightweight analytic tools to visualize data metrics and assess progress of data preprocessing efforts against Government goals
  • Design methods and mechanisms to track, report, and monitor data in order to ensure pipeline movements are timely and support all necessary processes.
  • Develop system to provide automated checks on data and processes to guarantee continuous pipeline support.
  • Ingest and rectify non-standard data and data in formats that are new within the Data Management Platform (DMP), for integration and curation.
  • Generate and manage data dictionaries to ensure information stays updated as data tables change
  • Provide data analysis expertise for assistance in determining if imagery curation techniques and strategies are effective in identifying images of value (e.g., containing objects of interest or specific imagery characteristics)


Minimum Qualifications:
  • 5+ years of experience; BA can account for 3 years while a MA/MS can account for an added 2 years of experience.
  • Experience preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets.
  • Experience with programming languages and tools such as Python, R, SQL, GIS, or Tableau.
  • Experience developing visualizations to communicate analytical results and to assist technical and non-technical audiences in understanding information from large datasets.


Preferred Qualifications:
  • Experience working in AI/ML-relevant fields related to imagery exploitation


Clearance Requirements:
• An active TS/SCI clearance with the ability to obtain and maintain a polygraph

Physical Requirements:
• Must be able to remain in a stationary position for extended periods while performing imagery analysis and reporting.
• Must be able to occasionally move about the work area to collaborate with team members and access mission systems.

The projected compensation range for this position is $104,200.00-$172,900.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

About ManTech International

ManTech International Corporation is an American defense contracting firm that was founded in 1968. The company provides cybersecurity, intelligence, and defense solutions to the United States Government. ManTech has over 9,000 employees and operates in 40 countries worldwide. The company's services include software development, systems engineering, and enterprise IT solutions. ManTech has been awarded numerous contracts by the U.S. Department of Defense and other government agencies.
Learn more about ManTech International
Size
9,800 employees
Market Cap
$3.7 billion
Industry
Net Income
$120.5 million
Founded
1968
5 Year Trend
+9.8%
Revenue
$2.5 billion
NASDAQ

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