Data Business Analyst - (DataBricks, SAP, Azure)

Job Description

We are looking for an experienced Data Analyst / Data Business Analyst with strong expertise across SAP and Non-SAP data environments , data modelling, data quality, and cloud-based data platforms. The role will work closely with Business, IT, Functional, Technical, and Data Engineering teams to translate business requirements into high-quality data products.

Key Responsibilities

- Translate business requirements into technical specifications for Data Engineers and support the development of data products.
- Define, establish, and validate data quality standards across ETL processes, systems, and data products.
- Collaborate with Business, IT Functional, Technical, and Data Engineering teams to deliver scalable data solutions.
- Analyze complex SAP and Non-SAP datasets to support data modelling, transformation, and analytics requirements.
- Develop and validate data mappings , ensuring accuracy, completeness, consistency, and adherence to data quality standards.
- Verify the correctness and usability of data products across various business and technical requirements.
- Develop data collection, transformation, and automation workflows using cloud services and analytics tools.
- Analyze large and complex datasets to generate meaningful business insights and recommendations .
- Develop and support analytical dashboards and reporting solutions using tools such as Power BI, Tableau, or Looker .
- Work with stakeholders to translate technical data concepts into clear business insights and actionable outcomes .
- Mentor junior analysts on data analysis, data modelling, analytics best practices, and coding standards .
- Contribute to continuous improvement of data processes, governance, quality, and analytics capabilities.

Required Skills & Experience

- Professional experience in Data Analysis / Business Analysis with demonstrated expertise in both SAP and Non-SAP environments .
- Strong understanding of data modelling, data mapping, ETL processes, and data quality .
- Hands-on or working knowledge of SQL, Python, or R .
- Exposure to Microsoft Azure services , particularly Azure Data Factory (ADF), Databricks , and related cloud data services.
- Strong experience with analytical and reporting tools such as Power BI, Tableau, or Looker .
- Ability to work with large and complex datasets and derive meaningful business insights.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent communication and presentation skills, with the ability to translate business requirements into technical specifications and technical concepts into business language .
- Bachelor's degree in Engineering, Statistics, Business, Computer Science, or a related discipline , or equivalent professional experience.

Good to Have

- Exposure to Machine Learning, AI, and advanced predictive analytics .
- Familiarity with Azure-based cloud data platforms and modern data architecture .
- Understanding of Data Governance, Data Quality frameworks, metadata, and data standards .
- Experience in validating data products against governance, quality, and compliance requirements .
- Experience in the Manufacturing industry in roles such as Business Analyst, Data Analyst, Functional Consultant, or Data Consultant .
- Experience working with SAP data, business processes, and manufacturing-related datasets .
- Exposure to modern data platforms, data lakes, data warehouses, and cloud analytics ecosystems.