- 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. Required Qualifications: - 7-9+ years of professional experience in data analysis with demonstrated expertise in both SAP and Non-SAP environments. - 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.

Data Analyst/Business Analyst

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