Data Analyst Sr - E3
Lemoore, CAFull-time$85–158K/yrSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Data Analyst collects, processes, and analyzes data to answer business questions and drive business results. The role uses statistical methods to draw insights, develops narrative or visual outputs such as dashboards, and supports data processes, analytics capabilities, and key performance indicators. The analyst also formulates requirements from business problems and manages key tasks and resources to meet cost and schedule goals.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Standard Job Description
THE WORK
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
WHO YOU ARE
You are a dynamic and results-oriented professional with a passion for driving operational excellence and optimizing production processes. You thrive in a fast-paced environment and are adept at managing complex projects while maintaining a high level of accuracy and attention to detail. Your strong analytical skills, coupled with your ability to communicate effectively and collaborate across departments, make you an invaluable asset to our team.
WHY JOIN US
Opportunity for Impact: Join a team that is at the forefront of innovation in the aerospace and defense industry and make a significant impact on the success of our organization.
Professional Development: Take advantage of unparalleled opportunities for growth and advancement within Lockheed Martin, with access to world-class training and development programs.
Collaborative Culture: Work alongside some of the brightest minds in the industry who share your passion for excellence and who are committed to supporting each other's success.
Competitive Benefits: Enjoy a comprehensive benefits package, including health insurance, retirement plans, and paid time off, as well as competitive salary offerings.
Basic Qualifications
Data mining, processing, and summarization
Analysis of large datasets and drawing valid inferences
Preparing insights in narrative or visual forms
Producing and tracking key performance indicators (KPIs)
Proficiency in Data Analysis, Data Quality, Data Reporting, and Teamwork and collaboration
Desired Skills
Bachelors degree from accredited college in related discipline
Advanced proficiency in data manipulation tools
Experience with digital strategies and emerging/advanced technologies
Research methods and statistical analysis
Pay Information
Full-Time Salary Range: $85300.00 - $158300.00
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: 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, and Long-Term Disability.
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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.
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For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
How this job compares
Set against the 5,588 open Data Analyst jobs on Olive Jobs, counted November 4, 2026.
- Pay
- This posting$85–158K/yr
- California median$107–171K/yr291 salary ranges
- US median$88–131K/yr3,484 salary ranges
This range's midpoint, $122K, is 12% below the California median midpoint ($138K) — in the middle half of Data Analyst salary ranges in California.
- Openings
- Olive Jobs lists 408 open Data Analyst jobs in California and 5,588 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Data Analyst postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 5 years (4,265 postings).
- Education
- 2,323 of the 5,588 open Data Analyst jobs (42%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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