Data Analytics Specialist - Business Intelligence in Calcutta, भारत

Role Summary:We are looking for a hands-on BI / Data Analytics Specialist to support enterprise BI, reporting, and analytics initiatives across manufacturing and corporate functions. The role involves developing Power BI dashboards, SQL-based analysis, data models, KPI reporting, and analytics solutions while working closely with business, IT, and data engineering https://jobeax.com/link/ZlR3JZToBtLJKlA9 Responsibilities:- Develop and enhance Power BI dashboards and reports for manufacturing, supply chain, procurement, sales, finance, and executive KPIs.- Build data models, DAX measures, Power Query transformations, and reusable BI components.- Analyse data from SAP/S4HANA, Salesforce, MES, AWS/Redshift, Excel, and other enterprise sources.- Translate business requirements into KPI definitions, reporting logic, datasets, and dashboards.- Perform data validation, reconciliation, troubleshooting, and root-cause analysis for data-quality issues.- Collaborate with business stakeholders, IT, data engineering teams, and implementation partners.- Support predictive analytics and AI use cases such as demand forecasting, production, procurement, sales, and inventory analytics.- Maintain documentation for data sources, KPI definitions, data models, and dashboard https://jobeax.com/link/BfN5m6KJUnsf8rBI Skills:- 5 - 7 years of experience in BI / Data Analytics / BI Development.- Strong hands-on experience with Microsoft Power BI, DAX, Power Query, and data modelling.- Strong SQL skills with enterprise/relational databases.- Experience with star schemas, semantic models, KPI logic, and report performance optimization.- Experience with AWS / Amazon Redshift; AWS S3/Glue exposure is an advantage.- Experience working with SAP/S4HANA, Salesforce, MES, or other enterprise data sources.- Strong analytical, communication, stakeholder management, and documentation https://jobeax.com/link/Cexs453KRiH2S1rJ Skills:- Manufacturing / Industrial Analytics experience.- Knowledge of KPIs such as OEE, yield, downtime, production output, inventory, procurement, sales, and finance.- Python or PySpark for analytics/automation.- Exposure to predictive analytics / AI use cases.- Power BI PL-300 or relevant AWS certification is a plus. (ref:hirist.tech)