Data Analyst Senior - Level 3
Indexed description
Key Responsibilities
- Work with Readiness Based Sparing Systems such as Aircraft Sustainability Model (ASM) & SPM.
- Develop interactive data analytics dashboards to monitor and improve operational performance.
- Analyze large datasets to identify trends, inefficiencies, and opportunities for optimization.
- Conduct Root Cause Corrective Action (RCCA) investigations and recommend strategic solutions.
- Build and automate data pipelines to streamline reporting and analysis processes.
- Maintain and enhance existing databases and dashboards to ensure data accuracy and integrity.
- Perform ad-hoc research to support continuous improvement initiatives.
- Monitor key metrics and ensure performance against defined benchmarks and KPIs.
- Identify emerging data trends and recommend proactive measures to address issues before they impact performance.
- Participate in customer-level meetings, Integrated Product Teams (IPTs), and planning sessions to align technical solutions with program objectives.
- Bachelors degree from an accredited college in a related discipline (Engineering, Computer Science, or another related discipline), or equivalent experience/combined education.
- Experience working with large datasets – system level extraction, formatting, ingestion/aggregation, and/or processing data; demonstrated experience with statistics with strong analytical and problem-solving skills.
- Demonstrated experience with programming, creating data analysis tools, and query development (i.e. C++, Python, SQL).
- Demonstrated experience with project management (i.e. managing cost, schedule, and deadlines).
- Background in STEM related field, Operations Research, Statistics, Data Analytics, Applied Mathematics, Operations Management, Decision Sciences, Data Science, Computer Science, Data Engineering, or Supply Chain Management.
- Root-Cause Corrective-Action knowledge/ability.
- Previous experience with data analysis, performance investigation in logistics disciplines, primarily supply and/or maintenance.
- Prior US Military background in logistics disciplines, primarily supply and/or maintenance a plus.
- Spares determination modeling or inventory analysis experience; Readiness Based Spares (RBS) experience a plus.
- Excellent organizational skills, communication skills, ability to make presentations, and assertive personality in getting a response or action completed.
- Experience with python, VBA or SQL, HANA and/or Tableau.
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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