Manufacturing Excellence_Sr. Engineer_AM

About the job

Purpose/Objective:

Operational & Manufacturing Excellence Manager optimizes business efficiency by analyzing complex data to identify bottlenecks, reduce costs, and improve performance. Key responsibilities include creating real-time KPIs and dashboards, performing root cause analysis, and recommending actionable improvements to stakeholders, utilizing tools like SQL, Python, and Tableau to streamline workflows and drive continuous improvement. We are looking for a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. You will work closely with cross-functional teams to identify opportunities, track performance, and recommend improvements using data.

Key Job Responsibilities

• Data Analysis and Modeling: Collecting, cleansing, and analyzing operational data to identify trends, correlations, and performance gaps.
• Performance Optimization: Identifying process bottlenecks, inefficiencies, and inconsistencies to enhance productivity and reduce costs.
• Dashboard & Report Creation: Designing and maintaining interactive dashboards and reports (using tools like Tableau or Power BI) to monitor Key Performance Indicators (KPIs) in real-time.
• Strategic Recommendations: Translating technical findings into actionable insights and presenting recommendations to management for informed decision-making.
• Process Automation: Developing SQL scripts and automating data collection processes to improve workflow speed and accuracy.
• Cross-Functional Collaboration: Working with departments such as sales, marketing, and IT to align data analytics with organizational goals and objectives.
• Continuous Improvement (CI) Leadership: Facilitate Kaizen events, Value Stream Mapping (VSM), and lean tool implementation to eliminate waste.
• Performance Monitoring (OEE/KPIs): Track, analyze, and report on operational KPIs (e.g., OEE, uptime, yields) to identify performance gaps.
• TPM/WCM Deployment: Lead Total Productive Maintenance (TPM) or World Class Manufacturing (WCM) pillars to improve equipment reliability and autonomous maintenance.
• Capability Building: Train, coach, and mentor staff on lean methodologies, Six Sigma tools, and problem-solving techniques.
• Digital Transformation: Implement digital manufacturing technologies (e.g., MES, Industrial IoT) to enhance production efficiency and data collection.
• Standardization & Compliance: Ensure adherence to standard operating procedures (SOPs) and safety standards across the factory floor.
• Cost Optimization: Drive productivity projects that improve manufacturing cost-efficiency and profitability

Required Technical Skills

• Data Manipulation/Querying: Advanced SQL for extracting and manipulating data from databases.
• Visualization Tools: Proficiency in Tableau, Power BI, or Google Data Studio.
• Analytical Tools: Proficiency in Excel (pivot tables, complex formulas), Python, R, or statistical software.
• Process Mapping: Using tools to visualize and analyze business workflows.

Core Competencies

• Problem-Solving: Identifying operational problems (e.g., Production, Process, etc).
• Communication: Presenting complex data in a clear, compelling manner to non-technical stakeholders.
• Data Integrity & Governance: Ensuring data accuracy, security, and compliance with company policies.

Requirements & Skills

• Bachelors/Masters degree in Statistics, Computer Science, Mathematics, Economics, or a related field with atleast 5-11 yrs experience in data analytics.
• Proficiency in SQL, Excel, and at least one analytics tool (Python, R, or similar).
• Experience with data visualization platforms like Tableau or Power BI.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Strong knowledge of Six Sigma (Green/Black Belt preferred) and Lean tools.
• Strong change management and leadership skills.