Data Analyst

MANTECH•Tampa, FL
•Onsite

About The Position

MANTECH International Corporation is seeking a motivated Data Analyst for a future opportunity in Tampa, FL. The Data Analyst will utilize their technical background and knowledge to manipulate and analyze data according to data management policies, supporting mission and business functions. The role involves identifying new data sources, improving data collection and analysis methods, gathering customer requirements for analysis and reporting, and developing custom data manipulation capabilities using languages like R, Python, SQL, or JavaScript. The analyst will also implement self-service data frameworks, enhance data quality and usability, and collaborate with data engineers and scientists to produce qualitative and quantitative data analysis supporting Sponsor products.

Requirements

  • Bachelor's degree in a computer science discipline or equivalent.
  • Experience with data collection, data cleaning, statistical analysis, data visualization and reporting.
  • Experience working across a large team to drive a data agenda.
  • Experience working with complex, interrelated systems and data flows.
  • Experience creating, maintaining, and communicating complex technical documentation.
  • Active Secret clearance is required.

Nice To Haves

  • Experience with the Sponsor’s primary cyber risk and compliance automation tools.
  • Self-starter with excellent people skills - able to work across teams and drive change throughout an organization.
  • Active Top Secret clearance with SCI eligibility.

Responsibilities

  • Identifying new sources of data and methods to improve data collection, analysis, and reporting.
  • Collecting customer requirements for analysis, reporting and visualization and determining technical paths to fulfilling them.
  • Developing custom data querying and manipulation capabilities using languages such as R, Python, SQL or JavaScript
  • Using data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
  • Improving the quality and usability of data by driving through application of principles of data quality management.
  • Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products.
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