- Translate business needs into technical specs for data engineers; define and validate data quality across ETL processes and systems
- Collaborate with cross-functional teams (Business, IT functional and Technical Teams) to support Data Engineers build the data products.
- Analyze complex SAP/Non-SAP datasets to help in data modeling
- Support data mappings, verify the correctness of Data Products and adhering to Data Quality Norms Develop data collection and automation workflows using cloud services and analytics tools.
- Provide insights that support strategic and operational decision-making.
- Mentor junior analysts on analytics best practices, data modeling, and coding standards.
Requirements
Required Qualifications:
- 7-9+ years of professional experience in data analysis with demonstrated expertise in both SAP and Non-SAP environments.
- Strong Experience required in SAP BW
- Exposure in SQL, Python, or R and Azure Services like ADF, DataBricks etc.,
- Strong technical expertise in data modelling, analytical and reporting tools (Tableau, Power BI, Looker). Bachelor's degree in Engineering, Statistical, Business or equivalent work experience.
- Strong analytical and problem-solving skills; ability to work with large, complex datasets and draw meaningful insights.
- Excellent communication and presentation skills; ability to translate technical concepts for business audiences and vice versa. Preferred Skills/Experience:
- Exposure to machine learning and advanced predictive analytics.
- Familiarity with Azure based cloud data platforms
- Understanding of data governance frameworks and adhereing governance across all data products verification, quality etc.,
- Experience working in Manufacturing Industries as Business Analyst, Data Analyst, Functional Consultant.