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BI / Data Analytics Specialist

WillWare Technologies

Kolkata, West Bengal, India · Full Time

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Experience
5–7 yrs
Salary
—
Openings
1
Posted
2 weeks ago
Work mode
In office
Resume
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Job description

About the Company

WillWare Technologies is a company seeking an experienced BI / Data Analytics Specialist to join their team in Kolkata. The role supports enterprise-wide business intelligence, reporting, and analytics efforts across manufacturing and corporate functions.

Job Responsibilities

  • Create and improve Power BI dashboards and reports covering manufacturing, supply chain, procurement, sales, finance, and executive KPIs.
  • Construct data models, develop DAX calculations, build Power Query transformations, and establish reusable BI components.
  • Analyze data sourced from SAP/S4HANA, Salesforce, MES, AWS Redshift, Excel, and other enterprise systems.
  • Convert business requirements into clear KPI definitions, reporting formulas, data sets, and interactive dashboards.
  • Carry out data validation, reconciliation, troubleshooting, and root cause analysis to resolve data quality issues.
  • Collaborate closely with business units, IT departments, data engineering teams, and implementation partners.
  • Provide support for predictive analytics and artificial intelligence initiatives including demand forecasting, production, procurement, sales, and inventory management analytics.
  • Ensure thorough documentation of data sources, KPI definitions, data models, and dashboard design logic.

Qualifications and Skills

  • Between 5 to 7 years of professional experience in Business Intelligence, Data Analytics, or BI development.
  • Proficient hands-on skills with Microsoft Power BI, including DAX, Power Query, and data modeling techniques.
  • Strong command of SQL with experience working on enterprise-level relational databases.
  • Familiarity with star schema design, semantic data modeling, KPI calculation logic, and optimizing report performance.
  • Experience using AWS services, especially Amazon Redshift; additional exposure to AWS S3 and Glue is advantageous.
  • Background working with enterprise data sources such as SAP/S4HANA, Salesforce, and MES systems.
  • Excellent analytical thinking, communication, stakeholder management capabilities, and skill in maintaining accurate documentation.

Additional Desired Skills

  • Prior experience in manufacturing or industrial analytics domains.
  • Understanding of KPIs related to OEE, yield, downtime, production output, inventory, procurement, sales, and financial metrics.
  • Knowledge of Python or PySpark for analytics or automation tasks.
  • Exposure to predictive analytics and AI applications.
  • Certifications such as Power BI PL-300 or AWS related credentials are favorable.

Tools & software

Generative AI Tools Microsoft Power BI required Amazon Redshift required Salesforce software required Power Query · 5 to 8 years required AWS S3 required
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