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office all 3 days in a week\nClient Office Location Bangalore Karnataka\nPrimary Skills\nAdvanced SQL\nData Analytics\nData Analysis\nBusiness Intelligence BI\nAdvanced Excel\nFinance Financial Analysis\nBusiness Analysis\nData Management\nETL\nData Warehouse Data Warehousing\nData Lake\nData Mart\nMaster Data Management MDM\nData Quality\nData Governance\nSecondary Skills\nPower BI\nTableau\nData Visualization\nData Security\nData Integrity\nBusiness Requirements Gathering\nData Modeling Scalable Data Solutions\nCustomer Master Data\nProduct Master Data\nAgile\nWaterfall\nData Science Analytics Certifications\nKey Responsibilities\nResponsibilities of the SE Intel Data Analyst Manage Run activities\nEnsure the stability and reliability of dailymonthly endtoend data flow refreshes\nGuarantee smooth accurate and timely dashboard publications including validation of figures prior to release\nSupport the adoption of new data referentials business rules and operating models Monitor and drive Data Quality\nPartner with Data Quality team to identify root causes of data issues and define ETL backend solutions\nMonitor and improve dimension completeness of ETL datasets\nDefine and maintain data quality rules and controls to ensure data accuracy and consistency\nManage KPI accreditation and ensure compliance with the 4 Data Golden Rules Deliver and optimize end to end data flows\nDeliver new endtoend data flows from ADL to SE Intel by translating business requirements into scalable and reliable data solutions\nOptimize existing data flows by simplifying architectures maximizing connection to Reusable Data objects and complementing noningested sources by manual authorized governed flows\nMaximize dimension completeness and ensure accurate dimension allocations through close collaboration with SMEs and Data Domains\nEnhance the reliability performance and scalability of SE Intel data assets\nContribute to the adoption of new data platforms architectures and AI capabilities to support Schneider Electrics data transformation journey Manage data projects fostering Data governance\nUse Agile methodology used by SE Intel team\nDefine optimize and document technical requirements data flows and refresh processes\nEnsure ETL backend solutions comply with the 4 Data Golden Rules and data governance standards\nSupport solution design testing and validation activities through data analysis and SQLbased simulations\nCoordinate crossstream deployments to ensure successful and timely delivery of data solutions\nPromote best practices in data governance documentation compliance and endtoend data traceability\nTechnology Skills Experience\nEducation / Experience / Technical Expertise\nBachelors or Masters degree in Data Science Data Analytics Computer Science Engineering or a related field Relevant technical certifications are a plus 10 years of experience in Data Analytics and Business Intelligence environments including 7 years as a handson Data Analyst 5 years in Advanced SQL Expertise in Excel for data analysis simulations testing and business usecase development Strong experience in FinanceBusiness Analysis and Data Management Strong understanding of endtoend data ecosystems including ETL processes Data Lakes Data WarehousesData Marts and master data domains Customer Product etc Proven experience translating business requirements into scalable data solutions and actionable insights Experience delivering projects using both Agile and Waterfall methodologies Experience with visualization platforms such as Tableau or Power BI is considered an asset Strong focus on data quality security governance and 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