Data Analyst

Description

The company supports US federal government clients in defense, national security, public safety, civilian, and military health missions, using technology to improve how agencies serve the nation.

The company is a technology firm within a global parent group and has a collaborative culture where people can learn and grow.

This role supports the upkeep and management of data holdings, keeps them aligned with established data standards, and involves detailed quantitative analysis. You will turn complex datasets into clear visuals and recommend data strategies, especially to support Machine Learning (ML) model development.

Responsibilities

• Keep data holdings maintained and in line with data standards.
• Run quantitative analysis to pull useful findings out of large datasets.
• Reshape raw data so it can be analysed and visualised.
• Build visualizations that help both technical and non-technical readers understand the data.
• Use data-driven analysis to suggest strategies for improving Machine Learning (ML) model development.

Requirements

• Required: hands-on experience preparing data, running statistical analysis, and applying tools or algorithms to find insights in datasets.
• Required: skill with programming languages, libraries, and tools such as Python, R, SQL, GIS, or Tableau.
• Required: a proven ability to create visualizations that communicate analytical results clearly.
• Required: TS/SCI security clearance or higher.
• Preferred: experience working in AI or ML-related fields.

Conditions

Base pay is $103,200 to $196,400 USD in California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia, as local law requires.

Pay varies by office location, role, skill set, and experience level.

Applications are accepted on an ongoing basis, with no fixed deadline.

The company is committed to a workplace where everyone is respected, feels they belong, and has equal opportunity.

Benefits

• A wide variety of benefits is offered.
• Hands-on experience, certifications, and industry training support your growth.