BI / Data Analytics Specialist

Company Name: WillwareTechnologies

Role:BI / Data Analytics

Experience:5+ years

Location: Kolkata

WorkMode:Onsite

Job 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 teams.

Key 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 logic.

Required 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 skills.

Preferred 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.