Data Analyst I - Manufacturing Operations (Onsite)

RTX•Melbourne, FL

1d•Onsite

About The Position

The Data Analyst – Manufacturing Operations will focus on analyzing data from a manufacturing environment that combines automation and manual assembly practices. The role involves utilizing data to improve production efficiency, ensure quality, and optimize manufacturing processes. The ideal candidate will have experience with industrial data systems and an understanding of manufacturing workflows, including automation and manual assembly techniques.

Requirements

Typically requires a University Degree and less than 2 years prior relevant experience.
Experience working in a manufacturing or industrial environment, particularly with automated and manual assembly operations.
Familiarity with data visualization tools like Tableau, Power BI, or similar platforms.
Knowledge of manufacturing systems such as MES, enterprise resource planning (ERP) systems, and supervisory control and data acquisition (SCADA) systems.

Nice To Haves

Strong analytical and problem-solving skills with a focus on process optimization.
Ability to communicate insights and recommendations effectively to both technical and non-technical stakeholders.
Experience with analytical tools such as SQL, Python, R, or MATLAB.
Experience with automation systems, programmable logic controllers (PLCs), and robotics.
Familiarity with Lean Manufacturing and Six Sigma principles.
Knowledge of Industry 4.0 technologies, including IoT, AI, and machine learning for manufacturing applications.
Hands-on experience with manufacturing-specific data sources, such as sensor data, production logs, and quality control metrics.
Understanding of aerospace and defense manufacturing processes (if applicable to the organization).

Responsibilities

Collect, clean, and analyze data from a variety of sources, including manufacturing execution systems (MES), automated machinery, and manual operations data logs.
Develop and maintain dashboards and reports to monitor key manufacturing performance indicators (KPIs) such as cycle time, throughput, downtime, and overall equipment effectiveness (OEE).
Identify trends and bottlenecks in production workflows and recommend actionable solutions to improve efficiency and reduce waste.
Collaborate with cross-functional teams, including production, engineering, quality, and supply chain, to address data-driven challenges and opportunities.
Work with automation systems to extract and analyze machine performance data, ensuring optimal utilization of automated equipment.
Support predictive maintenance efforts by analyzing equipment data to forecast potential failures and minimize unplanned downtime.
Document data analysis processes, methodologies, and results to ensure transparency and repeatability.
Stay current with industry trends in manufacturing analytics, automation, and Industry 4.0 technologies.

Benefits

Medical, dental, and vision insurance
Three weeks of vacation for newly hired employees
Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
Tuition reimbursement program
Student Loan Repayment Program
Life insurance and disability coverage
Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection
Birth, adoption, parental leave benefits
Ovia Health, fertility, and family planning
Adoption Assistance
Autism Benefit
Employee Assistance Plan, including up to 10 free counseling sessions
Healthy You Incentives, wellness rewards program
Doctor on Demand, virtual doctor visits
Bright Horizons, child and elder care services
Teladoc Medical Experts, second opinion program
And more!