Required Skills:

- Advanced SQL

- ETL & Data Pipelines

- Data Analytics & BI

- Data Governance

- Excel

- Finance & Business Analysis

- Agile Methodology

Nice to Have:

- Tableau / Power BI

Designation | SE Intel Data Analyst Qualification | QUALIFICATIONS - EDUCATION - B.E or B TECH or MS IN COMPUTER SCIENCE, ELECTRONICS, RELEVANT TECHNICAL CERTIFICATION Experience (in years) | 12 Job Description | Responsibilities of the SE Intel Data Analyst Manage Run activities • Ensure the stability and reliability of daily/monthly end-to-end 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 back-end 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 end-to-end 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 non-ingested 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 Electric's 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 back-end solutions comply with the 4 Data Golden Rules and data governance standards. • Support solution design, testing, and validation activities through data analysis and SQL-based simulations. • Coordinate cross-stream deployments to ensure successful and timely delivery of data solutions. • Promote best practices in data governance, documentation, compliance, and end-to-end data traceability. Skill Set Required | Education / Experience / Technical Expertise • Bachelor’s or Master’s 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 hands-on Data Analyst. • 5+ years in Advanced SQL. • Expertise in Excel for data analysis, simulations, testing, and business use-case development • Robust experience in Finance/Business Analysis, and Data Management. • Strong understanding of end-to-end data ecosystems, including ETL processes, Data Lakes, Data Warehouses/Data 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.

📌 SE Intel Data Analyst - S P (Bengaluru)
🏢 Cigres Technologies
📍 Bengaluru