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BI / Data Analytics Specialist

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Onsite

BI / Data Analytics Specialist

Willware Technologies

BI / Data Analytics Specialist

Skills

SQL QueriesData EngineeringPythonAmazon RedshiftData AnalysisAIAWSSalesforceSAP ERPPySparkSupply ChainPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Kolkata, West Bengal, India

Work mode:

Onsite

Published on:

25 September 2026

What they need


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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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