Data Analyst - E2

Lockheed Martin is seeking a Data Analyst to support F-35 Sustainment through data capture, analysis, and visualization. The role develops performance insights, supports analysis planning, and translates data into findings that inform business decisions.

Responsibilities

In this role, you will perform data capture, analysis and visualization in support of F-35 Sustainment

You will support coordination and development of problem statements, analysis approaches and ground rules and assumptions (GR&A)

You will also work under the guidance of a technical lead to perform analysis to establish a performance picture for Sustainment

Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions

Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results

Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis

They apply mathematical and statistical methods to business and risk management problems

Mine, process, and summarize data; Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions; Analyze large datasets, draw valid inferences and prepare insights in narrative or visual forms, including dashboards; Set up and maintain data processes and new analytics capabilities; Produce and track key performance indicators; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule

Preferred

Strong analytical skills and understanding of system databases, data elements and application software solutions to optimize data gathering and analysis

Experience developing scripts/workflows that embed AI/ML into business processes (Python automation, Power Automate)

Experience developing Extract, Transform, Load (ETL – Pentaho, Alterex)

Use source control and collaborative platforms for reproducibility (Git/GitHub, GitLab)

Coursework or previous experience analyzing supply chain networks

System Databases

Data Elements

Application Software Solutions

Data Gathering

AI/ML Integration

Business Process Automation

Python Automation

Power Automate

ETL Development

Pentaho

Alteryx

Source Control

Git

GitHub

GitLab

Collaborative Platforms

Reproducible Workflows

Supply Chain Network Analysis

Analytical Skills

Benefits

Medical

Dental

Vision

Flexible work arrangements and schedules (e.g., 4x10)

401(k) match

Paid time off

Holidays

Parental Leave

EAP

Flexible Spending Accounts

Education Assistance

Life Insurance

Short-Term Disability

Long-Term Disability

Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.

Company

Aerospace, defense, and security contractor

Bethesda, Maryland, USA

https://www.lockheedmartin.com/

Founded in 1912

10001+ employees

Qualifications

Bachelor's degree from an accredited university

Professional experience in data analysis, or AI/ML

Experience in using databases and/or visualizations

Strong analytical skills and understanding of system databases, data elements and application software solutions to optimize data gathering and analysis

Experience developing scripts/workflows that embed AI/ML into business processes (Python automation, Power Automate)

Experience developing Extract, Transform, Load (ETL – Pentaho, Alterex)

Use source control and collaborative platforms for reproducibility (Git/GitHub, GitLab)

Coursework or previous experience analyzing supply chain networks

Required skills

Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Database Usage, Data Visualization, Python, Power Automate, Extract, Transform, Load (ETL), Pentaho, Alteryx, Git, GitHub, GitLab, Supply Chain Network Analysis

Experience

Mid level