Data Analyst

Leidos is seeking a highly analytical and curious Data Analyst who is passionate about turning data into actionable business insights. The ideal candidate combines strong technical expertise with critical thinking and exceptional communication skills. This role requires someone who can work independently uncover meaningful patterns in complex datasets and communicate findings in a way that drives informed business decisions.

*The Data Analyst will be a hybrid role 50% onsite in the Fort Worth TX office and 50% remote. The candidate for this role must be within commutable distance to the office location.

Primary Responsibilities:

• Extract clean transform and validate data from multiple sources including relational databases.

• Write efficient SQL queries to retrieve manipulate and analyze large datasets.

• Develop Python-based data analysis workflows for data exploration modeling and reporting.

• Perform exploratory data analysis (EDA) including univariate bivariate and multivariate analysis.

• Apply statistical methods and predictive modeling techniques such as linear regression and other statistical evaluations.

• Utilize AI and machine learning tools to identify trends generate insights and improve analytical processes.

• Build and evaluate machine learning models including:

  • Regression

  • Classification

  • Clustering

  • Decision Trees

  • Supervised Learning

  • Unsupervised Learning

• Investigate data anomalies and independently determine the root causes behind unexpected results.

• Identify the most relevant data elements metrics and business questions without requiring extensive direction.

• Translate complex analytical findings into clear compelling presentations and recommendations for non-technical stakeholders.

• Develop a deep understanding of the business and industry to ensure analyses align with organizational goals.

• Partner with business leaders to provide data-driven recommendations that support strategic decision-making.

Basic Qualifications:

• Citizenship: U.S. Citizenship required

• Clearance: Secret clearance or ability to obtain one

• LocaBachelors degree in Data Analytics Computer Science Statistics Mathematics Engineering Economics or a related quantitative field (or equivalent practical experience).

• Strong proficiency in Python for data analysis and automation.

• Advanced SQL skills with experience querying and manipulating relational databases.

• Experience cleaning transforming and preparing data for analysis.

• Solid understanding of statistics and data analysis methodologies.

• Working knowledge of machine learning concepts and algorithms including regression classification clustering decision trees supervised learning and unsupervised learning.

• Familiarity with Large Language Models (LLMs) AI tools and their practical application in data analysis.

• Ability to perform exploratory data analysis and communicate meaningful insights from complex datasets.

• Excellent analytical critical thinking and problem-solving skills.

• Ability to work independently prioritize competing tasks and investigate issues with minimal supervision.

• Strong verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

• Experience with data visualization tools such as Power BI Tableau or Looker.

• Experience using cloud-based data platforms (AWS Azure or Google Cloud).

• Familiarity with version control systems such as Git.

• Experience working with business intelligence analytics or AI-driven decision support environments.

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.