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Data Security
Data Integrity
Business Requirements Gathering
Data Modeling Scalable Data Solutions
Customer Master Data
Product Master Data
Agile
Waterfall
Data Science Analytics Certifications
Key Responsibilities
Responsibilities of the SE Intel Data Analyst Manage Run activities
Ensure the stability and reliability of dailymonthly endtoend data flow refreshes
Guarantee smooth accurate and timely dashboard publications including validation of figures prior to release
Support the adoption of new data referentials business rules and operating models Monitor and drive Data Quality
Partner with Data Quality team to identify root causes of data issues and define ETL backend solutions
Monitor and improve dimension completeness of ETL datasets
Define and maintain data quality rules and controls to ensure data accuracy and consistency
Manage KPI accreditation and ensure compliance with the 4 Data Golden Rules Deliver and optimize end to end data flows
Deliver new endtoend data flows from ADL to SE Intel by translating business requirements into scalable and reliable data solutions
Optimize existing data flows by simplifying architectures maximizing connection to Reusable Data objects and complementing noningested sources by manual authorized governed flows
Maximize dimension completeness and ensure accurate dimension allocations through close collaboration with SMEs and Data Domains
Enhance the reliability performance and scalability of SE Intel data assets
Contribute to the adoption of new data platforms architectures and AI capabilities to support Schneider Electrics data transformation journey Manage data projects fostering Data governance
Use Agile methodology used by SE Intel team
Define optimize and document technical requirements data flows and refresh processes
Ensure ETL backend solutions comply with the 4 Data Golden Rules and data governance standards
Support solution design testing and validation activities through data analysis and SQLbased simulations
Coordinate crossstream deployments to ensure successful and timely delivery of data solutions
Promote best practices in data governance documentation compliance and endtoend data traceability
Technology Skills Experience
Education / Experience / Technical Expertise
Bachelors 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 integrity
