Hybrid Data Analyst: SQL, Python & ML Insights

Leidos; Fort Worth (TX); Hybrid; USD 92,000 - 167,000; Full time

Benefits offered by this job

Health and Wellness programs

Income Protection

Paid Leave

Retirement

Job summary

Leidos is seeking a highly analytical Data Analyst in Fort Worth, TX, in a hybrid role (50% onsite, 50% remote). You will turn data into actionable insights, build models, and communicate findings to stakeholders.

Responsibilities include extracting, cleaning, and validating data, writing SQL queries, developing Python workflows, performing EDA, and applying ML techniques such as regression, classification, clustering. You will use AI tools and visualize data to inform decisions.

Qualifications

• US citizenship required.
• Secret clearance or ability to obtain one.
• Strong Python for data analysis and automation.
• Advanced SQL with relational databases.
• Experience cleaning and preparing data for analysis.
• Understanding of statistics and ML concepts.
• Experience with LLMs and AI tools in data analysis.
• Ability to present insights to non-technical stakeholders.

Responsibilities

• Extract, clean, transform, and validate data from multiple sources.
• Write efficient SQL queries for large datasets.
• Develop Python data analysis workflows for exploration and reporting.
• Perform exploratory data analysis (EDA) on datasets.
• Apply regression, classification, clustering, and other ML methods.
• Utilize AI tools to identify trends and improve processes.
• Translate findings into clear recommendations for stakeholders.
• Partner with leaders to align analyses with business goals.

Skills

Python for data analysis

Advanced SQL

Statistics / data analysis

Critical thinking

Independent work

Communication skills

Education

Bachelor's degree in Data Analytics / CS / Stats / Math / Eng / Econ

Tools

Power BI

Tableau / Looker

Git

Cloud platforms (AWS / Azure / GCP)

Job description

Leidos is seeking a highly analytical Data Analyst in Fort Worth, TX, in a hybrid role (50% onsite, 50% remote). You will turn data into actionable insights, build models, and communicate findings to stakeholders.

Responsibilities include extracting, cleaning, and validating data, writing SQL queries, developing Python workflows, performing EDA, and applying ML techniques such as regression, classification, clustering. You will use AI tools and visualize data to inform decisions.