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Manufacturing Data Analyst

Lockheed Martin•Orlando, FL
•Onsite

About The Position

We specialize in Rotary and Mission Systems (RMS) that deliver advanced capabilities to the defense industry. Our RMS Training and Logistic Solutions (TLS) meet the unique needs of our customers with unmatched performance, reliability, and versatility. We support the full system lifecycle—from design and development to deployment and maintenance—while championing innovation, quality, and customer satisfaction. Located in Orlando, Florida, the Manufacturing Data Analyst will join the Production Operations team within our RMS division. In this role you will turn production data into actionable insights, drive continuous‑process improvement, and support data‑driven decision‑making across the plant. You will support a portfolio of work centers ranging in complexity, collaborating with a Production Control team of 50 seasoned professionals. Our group works closely with engineering, supply chain, quality, and program management to ensure seamless production flow and successful delivery of contracted projects. You excel at turning large data sets into actionable insights, with strong experience extracting ERP data (SAP, Oracle) and visualizing it in Power BI, Tableau, or Looker using SQL, Python/R, and Excel. Familiar with manufacturing workflows—MRP, BOM, capacity planning—you will bridge data insights to production actions. You communicate findings clearly to both technical and non‑technical audiences, champion continuous‑improvement, and balance meticulous data quality with a strategic focus on business outcomes.

Requirements

  • Knowledge of ERP tools such as SAP
  • Previous advanced experience with Microsoft Excel
  • Ability to extract, understand, and build graphs in Tableau
  • strong experience extracting ERP data (SAP, Oracle) and visualizing it in Power BI, Tableau, or Looker using SQL, Python/R, and Excel
  • Familiar with manufacturing workflows—MRP, BOM, capacity planning
  • Communicate findings clearly to both technical and non‑technical audiences
  • champion continuous‑improvement
  • balance meticulous data quality with a strategic focus on business outcomes

Nice To Haves

  • Ability to communicate within the team structure and with partnering businesses.
  • Ability to collaborate as a team member in a fast-paced production environment.
  • Demonstrated effective communication skills within the business and with partnering businesses.
  • Develops, and mines material data in resource planning tool for strategic material procurement and material availability in a production environment.
  • Evident experience with extracting, analyzing, and manipulating data to drive decision making.

Responsibilities

  • Data collection & integration – Pull, clean, and consolidate production data from ERP, MES, shop‑floor sensors, and ancillary tools into a centralized analytics environment.
  • Schedule analytics – Analyze the production schedule, identify bottlenecks, and generate forecasts that help balance capacity, inventory, and delivery commitments.
  • Root‑cause analysis – Use statistical methods (e.g., regression, Pareto, control charts) to diagnose variances in on‑time delivery, scrap, rework, and labor utilization.
  • Reporting & visualization – Build and maintain interactive dashboards (Power BI, Tableau, or similar) that provide real‑time visibility of key performance indicators (KPIs) such as throughput, OEE, lead‑time, and material availability.
  • Process‑performance modeling – Develop and maintain predictive models (e.g., demand‑driven MRP, capacity‑requirement planning) to support “what‑if” scenario planning for make‑buy decisions and BOM optimization.
  • Collaboration & communication – Partner with production supervisors, supply‑chain planners, quality engineers, and senior leadership to translate analytical findings into practical improvement actions.
  • Continuous‑improvement support – Contribute data‑driven insights to Lean/Kaizen initiatives, support KPI‑based scorecards, and help prioritize projects that yield the greatest ROI.
  • Tool stewardship – Serve as a subject‑matter expert for the ERP system and associated analytics tools; drive adoption of best‑practice data standards and governance.

Benefits

  • Medical
  • Dental
  • Vision
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • EAP
  • Education Assistance
  • Parental Leave
  • Paid time off
  • Holidays
  • 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
  • accrue 6.67 hours of Vacation per month
  • accrue up to 52 hours of sick leave annually
  • receive at least 96 hours for holidays

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

Career Resources

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