Role 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.