Remote Manufacturing Operations Analyst
- norwich, norfolk, NR1 1AA, United Kingdom
- Permanent·Remote
- Full time
- £45,000 - £45,000 Per Annum
Job Description
About the Role
Our client is seeking a data-driven and analytical Remote Manufacturing Operations Analyst to support their operational efficiency and performance monitoring, including sites near Norwich . This role focuses on collecting, analyzing, and interpreting manufacturing data to identify trends, inefficiencies, and opportunities for process improvement. You will work closely with on-site teams and management to provide insights that drive informed decision-making and enhance overall productivity. This is an excellent opportunity for a motivated analyst passionate about manufacturing and adept at working effectively in a fully remote capacity.
Key Responsibilities
- Collect, compile, and analyze manufacturing data from various sources.
- Develop reports and dashboards to track key performance indicators (KPIs) related to production, efficiency, and quality.
- Identify trends, patterns, and anomalies in manufacturing data to pinpoint areas for improvement.
- Collaborate virtually with operations managers and production teams to understand data and provide insights.
- Support the development and implementation of process improvements based on data analysis.
- Contribute to forecasting and strategic planning by providing data-backed recommendations.
Requirements
- Bachelor's degree in Business, Operations Management, Data Science, or a related field.
- Proven experience as an Operations Analyst, Data Analyst, or similar role, preferably in manufacturing.
- Strong proficiency in data analysis tools such as Excel, SQL, and BI software (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and manage time effectively in a remote setting.
- Strong virtual communication and presentation skills.
Benefits
- Competitive salary and remote work flexibility.
- Comprehensive medical, dental, and vision insurance.
- Retirement savings plan.
- Generous paid time off.
- Opportunities for professional development in data analytics and operations.


