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Common data analyst title, mid-level experience range, and broad BI skillset increase candidate competition.
Manufacturing KPI and ERP experience increase domain specificity, though core BI skills remain transferable.
Explicit 3–8 years requirement plus mandatory Power BI, SQL, Snowflake and manufacturing domain knowledge.
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Analyze and transform operational and manufacturing data into actionable insights to support data-driven decision-making and continuous improvement.
Design, develop, and maintain scalable dashboards and reports using Power BI integrating data from ERP and data warehouses.
Collaborate with global stakeholders across multiple regions for KPI standardization, reporting alignment, and performance benchmarking.
3–8 years of experience in data analytics or BI, preferably in manufacturing domain.
Proficiency in Power BI, SQL, Snowflake (or similar cloud data platforms), advanced Excel, and ERP systems (preferably SAP).
Engineering or Data Analytics/Computer Science degree.
Ability to work across multiple time zones and with global teams.
Experienced in manufacturing operations analytics with strong knowledge of manufacturing KPIs (e.g., OTD, inventory turns).
Skilled in developing scalable BI solutions and automations to improve reporting efficiency and operational impact.
Capable of collaborating with international stakeholders for global analytics initiatives and KPI governance.