Data Analyst Sr - E3

Lockheed Martin

Lemoore (CA)

Presencial

USD 85.000 - 158.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Health insurance
4x10 schedule
401(k) match
Paid time off

Descripción de la vacante

Lockheed Martin is seeking a data analyst to collect, process, and analyze data to develop immersive stories that answer business questions. You will translate insights into action, guide data quality, and produce dashboards to drive business results.

The role requires handling large datasets, setting up analytics processes, and managing KPIs while collaborating across departments in a fast-paced aerospace environment.

Formación

  • 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.

Responsabilidades

  • Mine, process, and summarize data; triage data issues for timely resolutions.
  • Query databases for stakeholder requests and ensure data quality.
  • Analyze large datasets and prepare insights in narrative or visual forms, including dashboards.
  • Set up and maintain data processes and new analytics capabilities.
  • Produce and track KPIs; manage functional and technical requirements from business problems.

Conocimientos

Data mining
Data processing
Data summarization
KPI tracking
Data analysis
Teamwork

Educación

Bachelors degree from accredited college in related discipline

Descripción del empleo

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.

  • 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.
  • 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.
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