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.