method engineer

Capgemini; City of Hornell (NY); On-site; USD 57,000 - 90,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a data analytics professional to establish robust performance tracking for robotic stations, identify recurring ALEAs, and drive data-driven actions to improve efficiency and reduce production variances.

The role involves monitoring KPIs, collecting disruptions, analyzing trends, and implementing corrective actions while collaborating with cross-functional teams to deliver measurable improvements in operational performance.

Qualifications

• Minimum 3-5 years of experience in data analytics, manufacturing operations, or industrial performance analysis.
• Strong knowledge of Excel.
• Data visualization tools.
• Statistical analysis.
• Strong problem-solving and stakeholder management skills.
• Optional experience with robotic or automated manufacturing environments.

Responsibilities

• Monitor and analyze operational performance metrics, process cycle times, lead times, and productivity indicators against targets.
• Collect, record, and analyze operational disruptions, incidents, exceptions, and performance deviations.
• Track issue resolution activities and analyze resolution effectiveness and turnaround times.
• Identify recurring trends, patterns, bottlenecks, and root causes impacting operational performance.
• Develop, implement, and track corrective and preventive action plans to improve process reliability and efficiency.
• Measure and evaluate the effectiveness of improvement initiatives through performance dashboards and reporting tools.
• Escalate risks, issues, and unresolved concerns to stakeholders as required.
• Analyze manual and automated process activities to identify opportunities for cycle time reduction and productivity improvement.
• Provide recommendations to optimize workflows, reduce inefficiencies, and enhance operational performance.
• Collaborate with cross-functional teams to support continuous improvement and operational excellence initiatives.
• Develop and maintain performance dashboards and reports to communicate KPIs and project progress.

Skills

Data analytics

Manufacturing operations

Industrial performance analysis

Problem-solving

Stakeholder management

Robotics experience

Tools

Excel

Data visualization tools

Statistical analysis tools

Job description

The objective of the project is to establish robust performance tracking for the 3 robotic stations, identify recurring operational issues (ALEAs), and drive data-based actions to improve efficiency and reduce production.

Key Responsibilities:

Monitor and analyze operational performance metrics, process cycle times, lead times, and productivity indicators against defined targets.

Collect, record, and analyze operational disruptions, incidents, exceptions, and performance deviations.

Track issue resolution activities and analyze resolution effectiveness and turnaround times.

Identify recurring trends, patterns, bottlenecks, and root causes impacting operational performance.

Develop, implement, and track corrective and preventive action plans to improve process reliability and efficiency.

Measure and evaluate the effectiveness of improvement initiatives through performance dashboards and reporting tools.

Escalate risks, issues, and unresolved concerns to relevant stakeholders as required.

Analyze manual and automated process activities to identify opportunities for cycle time reduction and productivity improvement.

Provide recommendations to optimize workflows, reduce inefficiencies, and enhance operational performance.

Collaborate with cross-functional teams to support continuous improvement and operational excellence initiatives.

Develop and maintain performance dashboards and reports to communicate key performance indicators (KPIs) and project progress.

Key Performance Indicators (KPIs):

Process cycle time and throughput performance

Operational lead time tracking

Manual activity and productivity analysis

Incident/disruption occurrence and resolution metrics

Corrective and preventive action plan progress

Process efficiency, utilization, and performance trends

Continuous improvement initiative effectiveness and closure rates

Mandatory Skills:

Minimum 3-5 years of experience in data analytics, manufacturing operations, or industrial performance analysis.

Strong knowledge of:

Excel

Data visualization tools

Statistical analysis

Strong problem-solving and stakeholder management skills.

Optional requirement to have a past experience working with robotic or automated manufacturing environments.

The pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.