Remote Manufacturing Operations Analyst

Placements24

Willows (CA)

Remote

USD 70,000 - 100,000

Full time

2 days ago
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Benefits offered by this job

Remote salary
Flexible hours
Medical aid
Retirement annuity
Performance-based incentives
Professional development
Online training
Virtual industry events
Autonomy & collaboration

Job summary

Placements24 is seeking a Remote Manufacturing Operations Analyst to join a distributed team. The role focuses on analyzing manufacturing data, identifying trends, and optimizing processes to drive efficiency across production sites in a remote-first setting.

You will develop dashboards, generate insights for senior management, and collaborate with cross-functional teams to support strategic decision-making. A strong background in data analytics and manufacturing operations is required.

Qualifications

  • Bachelor's degree in Industrial Engineering, Operations Management, Business Analytics, Statistics or related field.
  • Minimum of 4 years of experience in operations analysis, data analysis, or similar role in manufacturing.
  • Proficiency in data analysis tools: Excel (advanced), SQL, and data visualization (Tableau/Power BI).
  • Strong understanding of manufacturing processes, supply chain principles, and performance metrics.

Responsibilities

  • Collect, analyze, and interpret complex manufacturing data to identify trends and KPIs.
  • Develop and maintain dashboards and reports to visualize performance.
  • Identify opportunities for process optimization, cost reduction, and efficiency gains.
  • Support development and implementation of operational strategies and initiatives.
  • Collaborate with plant managers, supervisors, and engineers to gather data and provide actionable insights.
  • Monitor production schedules, identify bottlenecks, and propose solutions for timely delivery.
  • Assist in forecasting production needs and resource allocation.
  • Prepare regular performance reports for senior management with recommendations.
  • Ensure data integrity across reporting platforms.
  • Stay updated on best practices in manufacturing analysis and data analytics.

Skills

Data analysis
Excel advanced
SQL
Tableau
Power BI
Manufacturing operations
Performance metrics
Communication

Education

Bachelor's degree in a quantitative field

Tools

ERP systems
MES

Job description

About the Role

Our client, a global leader in specialized manufacturing, is looking for a highly analytical and data-driven Remote Manufacturing Operations Analyst to join their distributed team. This role is pivotal in analyzing manufacturing data, identifying trends, optimizing processes, and supporting strategic decision-making across various production sites. The ideal candidate will have a strong aptitude for data interpretation, excellent reporting skills, and a solid understanding of manufacturing operations principles. Working remotely, you will collaborate with cross-functional teams, providing insights that drive efficiency, cost reduction, and quality improvements. This is an exceptional opportunity for a skilled analyst to leverage their expertise in a flexible, remote-first environment and contribute to the operational excellence of a leading manufacturing organization. Your insights will directly impact performance and strategic planning.

Key Responsibilities
  • Collect, analyze, and interpret complex manufacturing data from various sources to identify operational trends and key performance indicators (KPIs).
  • Develop and maintain dashboards and reports to visualize manufacturing performance and highlight areas for improvement.
  • Identify opportunities for process optimization, cost reduction, and efficiency gains across production lines.
  • Support the development and implementation of operational strategies and initiatives.
  • Collaborate with plant managers, production supervisors, and engineering teams to gather data and provide actionable insights.
  • Monitor production schedules, identify potential bottlenecks, and propose solutions to ensure timely delivery.
  • Assist in forecasting production needs and resource allocation based on historical data and projections.
  • Prepare regular performance reports for senior management, summarizing findings and recommendations.
  • Ensure data integrity and accuracy across all reporting platforms.
  • Stay updated on best practices in manufacturing operations analysis and data analytics.
Requirements
  • Bachelor's degree in Industrial Engineering, Operations Management, Business Analytics, Statistics, or a related quantitative field.
  • Minimum of 4 years of experience in operations analysis, data analysis, or a related role within a manufacturing environment.
  • Proficiency in data analysis tools such as Excel (advanced), SQL, and data visualization software (e.g., Tableau, Power BI).
  • Strong understanding of manufacturing processes, supply chain principles, and performance metrics.
  • Excellent analytical and problem-solving skills with meticulous attention to detail.
  • Proven ability to translate complex data into clear, actionable insights and recommendations.
  • Strong written and verbal communication skills, with experience presenting data to various stakeholders.
  • Ability to work independently, manage multiple priorities, and meet deadlines in a remote setting.
  • Familiarity with ERP systems and manufacturing execution systems (MES) is a plus.
  • A proactive and results-oriented mindset.
Benefits

Our client offers a competitive remote salary, flexible working hours, and a comprehensive benefits package including medical aid, a retirement annuity fund, and performance-based incentives. Employees have access to professional development resources, online training, and opportunities to attend virtual industry events. This role provides the autonomy and flexibility of a remote position while offering the engagement and impact of working with a leading manufacturing firm. Enjoy a supportive virtual team environment designed for collaboration and growth, based remotely but connected to operations across the organization.

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