Power BI Developer

Job Description

Job title: Power BI Developer Location: Kolkata Experience : 5-7 years Budget : 10 to 12 LPA Role summary (one line): Design, build and maintain interactive Power BI dashboards and ETL pipelines to convert operational and ERP data into actionable insights for operations, sales, finance and manufacturing teams. Key responsibilities Partner with business stakeholders (Operations, Sales, Production, Finance) to gather reporting requirements and translate them into dashboards and KPIs. Design, develop and maintain Power BI reports, dashboards and paginated reports; ensure performance and usability. Build ETL/data-prep workflows using Power Query / M / DAX, and collaborate with the data engineering team to ingest data from ERP (IFS / SAP / Oracle / in-house), CSV/Excel, SQL databases, and APIs. Create semantic data models, measures and calculated columns using DAX; implement row-level security where required. Optimize data models and report performance (data volume handling, query folding, incremental refresh). Validate and reconcile report outputs against source systems and financial reports; ensure data accuracy. Document datasets, data lineage, data definitions and dashboard user guides; conduct stakeholder training sessions. Support ad-hoc analytics requests and automate recurring reports/distributions (subscriptions, Power BI service). Work with Shyam Future Tech / IT to improve data pipelines, instrument telemetry for production lines, and embed analytics into business workflows. Skills & experience (required) 4 to 6 years building BI solutions, with demonstrable Power BI (Desktop + Service) experience. Strong DAX, Power Query (M) and data modelling skills. Experience connecting to ERP/SQL databases, and familiarity with ETL concepts. Good SQL skills for data extraction and verification. Understanding of manufacturing / supply chain / sales KPIs (production yield, capacity utilization, inventory turnover, sales funnel) is a plus. Good stakeholder communication and ability to translate business needs into technical solutions. Bachelor?s degree in Computer Science, Statistics, Engineering, Economics, or related field. Preferred / nice-to-have Certifications: PL-300 / DA-100 or equivalent. Experience with Azure Data ecosystem (Data Factory, Synapse), SSIS, or Power Platform (Power Automate). Prior experience in heavy industry / manufacturing / ERP integrations. Familiarity with Python/R for advanced analytics.