Data Analyst

Job Description Data Analyst (Operations & Manufacturing Analytics) Position Title : Data Analyst Operations Location : Chh. Sambhajinagar (Aurangabad), India Reporting To : Head Operations / Digitalization / Managing Directors Office Role Purpose The role is responsible for analyzing and transforming operational and manufacturing data into actionable insights. The Data Analyst will develop scalable analytics solutions and dashboards to support data-driven decision-making, improve operational efficiency, and enable continuous improvement across manufacturing and supply chain functions. This position is based in India but operates as a global role, supporting cross-regional teams and stakeholders and contributing to global analytics initiatives, standardization efforts, and best practices across locations. Key Responsibilities Analyze and interpret key operational datasets including PPC, inventory, consumption, and manufacturing KPIs Design, develop, and maintain interactive dashboards and reports using Power BI Integrate data from multiple sources including ERP systems and data warehouses Support management reporting, performance reviews, and business insights generation Establish and standardize KPI definitions across functions Drive automation initiatives and continuous improvement in reporting processes Collaborate with global stakeholders across regions (Europe, Asia, Americas) to align reporting standards and analytics frameworks Support global KPI standardization and cross-site performance benchmarking Work across time zones to deliver insights for global operations and leadership teams Required Skills Technical Power BI SQL and database querying Data Cleaning Snowflake or similar cloud data platforms Advanced Excel (Power Query, Power Pivot) ERP systems (preferably SAP) Required Skills Analytical & Functional Strong analytical and problem-solving capabilities Understanding of manufacturing KPIs (OTD, inventory turns) Data visualization and storytelling KPI standardization and governance Automation & Digital Skills Exposure to Power Automate or ETL tools Understanding of data pipelines and integration Awareness of digital transformation initiatives Behavioral & Global Skills Strong stakeholder communication and ability to work with international teams Experience working in cross-cultural or global environments Ability to manage stakeholders across different time zones Detail-oriented and accuracy-focused Collaborative and proactive mindset Continuous improvement mindset Problem Solving Mindset Experience 38 years in data analytics / BI, preferably manufacturing Education Engineering or Data Analytics / Computer Science Success KPIs Data accuracy and reliability Dashboard adoption Reporting efficiency Operational improvements and business impact .