Job
Description
IMEA (India, Middle East, Africa) India LIXIL INDIA PVT LTD Employee Assignment Hybrid Full Time 30 June 2025 Location: Remote Working Internal Customers: Regional Quality Teams Team: QM System & Processes - Analytics & Digitalization. Job Description: Sr. Data Analyst Job Summary We are seeking a skilled Data Analyst to join our team, focusing on building and maintaining scalable, high-quality data warehouses and databases. This individual will be responsible for developing ETL processes, optimizing data pipelines, and transforming raw data from multiple sources into structured formats for analysis and reporting. The Data Analyst will also contribute to driving analytics and digitalization tools across various regions and provide support for specific data requests. What will you do? Design and Build Data Warehouses: Architect and develop scalable, robust, and efficient data warehouses that support business intelligence and data analytics needs. Develop and Optimize ETL Processes: Design, develop, and optimize ETL (Extract, Transform, Load) processes and data pipelines to ensure seamless, efficient, and timely data flow between systems, enabling high-quality insights and reporting. Data Transformation: Transform raw data from multiple channels into structured, clean formats suitable for analysis, reporting, and decision-making. Ensure data integrity and consistency throughout the transformation process. Analytics & Digitalization Tools Development: Further develop and drive the adoption of analytics and digitalization tools to support data-driven decision-making and operational improvements across all regions. Work to optimize and scale these tools as business needs evolve. Support Regional Data Requests: Act as a key point of contact for supporting specific quality data deep-dive requests from regional teams. Analyze and respond to their unique data needs, offering insights and actionable recommendations. Continuous Improvement: Work to continuously improve data quality, performance, and efficiency within the data ecosystem, implementing new tools or strategies to optimize overall data management and analysis. What are we looking for? Bachelor’s degree in Data Science, Computer Science or a related field. Proven experience in data analysis, data engineering, or similar roles with a focus on building and maintaining data warehouses. Hands-on experience with ETL processesand data pipeline development. Strong background in data transformationand structuring raw data for reporting and analysis. Experience in developing or supporting analyticsand digitalization tools across multiple regions or business units. Experience with data visualization tools(e.g., Tableau, Power BI) and proficiency in SQL Familiarity with data modelling, database optimization, and data management best practices. Good To Have Familiarity with cloud platforms(AWS, GCP, Azure) and related data services. Experience with data warehousing solutionslike Amazon Redshift, Snowflake, or Google BigQuery Show more Show less
