BI / Data Analytics Specialist

WILLWARE TECHNOLOGIES PRIVATE LIMITED; Kolkata District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

WillwareTechnologies in Kolkata is seeking a hands-on BI / Data Analytics Specialist to support enterprise BI, reporting, and analytics initiatives across manufacturing and corporate functions. You will develop Power BI dashboards, SQL-based analyses, data models, KPI reporting, and analytics solutions while collaborating with business, IT, and data engineering teams.

The role requires 5-7 years of experience in BI / Data Analytics, strong skills in Power BI, DAX, Power Query, SQL, and

Qualifications

• 5–7 years of hands-on experience in BI / Data Analytics / BI Development.
• Strong skills in Microsoft Power BI, DAX, Power Query, and data modelling.
• Excellent SQL skills with enterprise databases.
• Experience with SAP/S4HANA, Salesforce, MES or other enterprise data sources.

Responsibilities

• Develop and enhance Power BI dashboards and reports for multiple functions and KPIs.
• Build data models, DAX measures, Power Query transformations, and reusable BI components.
• Analyze data from SAP/S4HANA, Salesforce, MES, and AWS Redshift, among others.
• Translate business requirements into KPI definitions, reporting logic, datasets, and dashboards.
• Perform data validation, reconciliation, 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 and inventory analytics.
• Maintain documentation for data sources, KPI definitions, data models, and dashboard logic.

Skills

BI / Data Analytics

Power BI

DAX

SQL

Data Modelling

Tools

SAP/S4HANA

Salesforce

MES

AWS Redshift

S3/Glue

Job description

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.