Data Analyst Asc

Lockheed Martin

Fort Worth, TXFresher2h agovia LinkedIn

This job at a glance

Who can apply
New grads, no experience needed · Bachelor's degree
Must know
Data analysisStatisticsOperationsBudgetingStakeholder managementData visualization
Work
On-site in Fort Worth
Pay
$58.2K–$108.2K a year
Skill demand
Data analysis70%Statistics52%Operations34%Budgeting17%of 100 similar entry-level jobs posted in the US this week
Listed
Nov 12, 2026 · still open

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About the Role

The selected candidate will perform data analysis in support of F-35 Sustainment. This role involves collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using statistical methods, the analyst will draw insights from data and translate them into actions that drive business results. Data Analysts are expected to be resourceful, find novel data sources, and apply mathematical and statistical methods to business and risk management problems.

Key Responsibilities

  • Apply modeling & simulation technical principles, concepts, and techniques to assess Performance Based Logistics (PBL) metrics using commercial, government, and LM developed tools.
  • Support coordination and development of problem statements, modeling approaches, and ground rules and assumptions (GR&A).
  • Under the guidance of a technical lead, perform analysis to establish a total cost to performance picture for Sustainment.
  • Analyze fielded performance, developing solutions to assigned problems for forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions.
  • 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.

Requirements & Tech Stack

  • Bachelors of Science degree in Engineering or a related technical discipline (Industrial, Mechanical, Aerospace, Electrical, etc.), Physics, Data Science, Data Analysis, or Mathematics with an emphasis in modeling, data manipulation, and/or the application of mathematical and statistical methods.
  • Must be able to obtain a DoD Secret Clearance.
  • Knowledge of scripting (one or more common languages e.g., Python and R).
  • Knowledge of statistics (descriptive and inferential).
  • Knowledge of data munging.
  • Knowledge of data visualization.
  • Analytical skills.
  • Understanding of system databases, data elements, and/or application software solutions.

Desired Skills

  • Knowledge of conducting performance and cost analysis.
  • Knowledge of database systems.
  • Knowledge of descriptive statistics and exploratory data analysis.
  • Computer programming experience with SAS or other high-level language.
  • Ability to query databases using Structured Query Language (SQL).
  • Familiar with data visualization tools such as Tableau.
  • Some experience in data structures and hierarchies.
  • Some experience in collecting and compiling datasets from disparate data sources into the required data structure.
  • Knowledge or experience with SAP/HANA.
  • Some experience managing data quality and configuration control.
  • Coursework or previous experience analyzing supply chain networks.
  • Ability to interact with the customer to work through data issues and discrepancies.
  • Excellent written and verbal communication skills.
  • Ability to work in a collaborative and team-based environment.
  • Knowledge or experience in project management.
  • Knowledge or experience in continuous improvement.

Pay Information

Full-Time Salary Range: $58200.00 - $108200.00

  • Annual short-term and/or long-term incentive compensation programs may be offered.
  • Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules, 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.

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