Senior Operations Analyst

About the Role

Our client is looking for a diligent and analytical Senior Operations Analyst to join their team in Sheffield . This role is essential for evaluating and improving the efficiency of our client's operational processes across various departments. You will be responsible for collecting and analyzing operational data, identifying trends, developing insights, and recommending strategic changes to enhance productivity and reduce costs. This is an excellent opportunity for a detail-oriented professional to make a significant impact on business performance within a stable and reputable organization, contributing to data-driven decision-making.

Key Responsibilities

• Collect, interpret, and analyze large datasets related to operational performance.
• Develop and maintain key performance indicators (KPIs) to track operational efficiency and effectiveness.
• Identify trends, anomalies, and opportunities for improvement within operational processes.
• Prepare comprehensive reports and presentations for management, outlining findings and recommendations.
• Collaborate with department heads to understand operational challenges and propose data-backed solutions.
• Support the implementation of process changes and monitor their impact.

Requirements

• Bachelor's degree in Business Analytics, Industrial Engineering, Statistics, or a related quantitative field.
• 5+ years of experience in operations analysis, industrial engineering, or a similar analytical role.
• Advanced proficiency in data analysis tools such as Excel, SQL, and BI platforms (e.g., Tableau, Power BI).
• Strong understanding of Lean Manufacturing principles and their application in operational analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication skills, with the ability to present complex data clearly.

Benefits

• Competitive annual salary with performance review increases.
• Comprehensive benefits package including medical insurance and pension scheme.
• Opportunities for professional development and advanced training in data analytics.
• A structured work environment with clear career progression paths.
• Employee assistance program and wellness initiatives.