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.