Job Description Data Analyst (Operations u0026 Manufacturing Analytics)nnn Position Title : Data Analyst Operationsnnn Location : Chh. Sambhajinagar (Aurangabad), Indiannn Reporting To : Head Operations / Digitalization / Managing Directors Officennnn nnn Role Purpose nnn 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. nnn 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.nnn Key Responsibilities nnn n Analyze and interpret key operational datasets including PPC, inventory, consumption, and manufacturing KPIsn n n Design, develop, and maintain interactive dashboards and reports using Power BIn n n Integrate data from multiple sources including ERP systems and data warehousesn n n Support management reporting, performance reviews, and business insights generationn n n Establish and standardize KPI definitions across functionsn n n Drive automation initiatives and continuous improvement in reporting processesn n n Collaborate with global stakeholders across regions (Europe, Asia, Americas)



to align reporting standards and analytics frameworksn n n Support global KPI standardization and cross-site performance benchmarkingn Work across time zones to deliver insights for global operations and leadership teams n nn n nnn Required Skills Technical nnn n Power BIn n n SQL and database queryingn Data Cleaningn n n Snowflake or similar cloud data platformsn n n Advanced Excel (Power Query, Power Pivot)n n n ERP systems (preferably SAP)n n Required Skills Analytical u0026 Functional nnn n Strong analytical and problem-solving capabilitiesn n n Understanding of manufacturing KPIs (OTD, inventory turns)n n n Data visualization and storytellingn n n KPI standardization and governancen n Automation u0026 Digital Skills nnn n Exposure to Power Automate or ETL toolsn n n Understanding of data pipelines and integrationn n n Awareness of digital transformation initiativesn n Behavioral u0026 Global Skills nnn n Strong stakeholder communication and ability to work with international teamsn n n Experience working in cross-cultural or global environmentsn n n Ability to manage stakeholders across different time zonesn n n Detail-oriented and accuracy-focusedn n n Cooperative and proactive mindsetn n n Continuous improvement mindsetn Problem Solving Mindsetn n Experience nnn 38 years in data analytics / BI, preferably manufacturingnnn Education nnn Engineering or Data Analytics / Computer Sciencennn Success KPIs nnn n Data accuracy and reliabilityn n n Dashboard adoptionn n n Reporting efficiencyn n n Operational improvements and business impact .

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