Top Data & Analytics Jobs in Mumbai, MH

Design and build scalable cloud-based data solutions, including ETL pipelines, data warehouses, data lakes, and data models. Ensure data quality, validation, storage efficiency, and pipeline performance. Collaborate with engineering leads, product managers, analysts, modelers, external partners, and stakeholders to deliver analytics solutions. Apply Python, PySpark, SQL, Databricks, AWS services, Airflow, dimensional modeling, and medallion architecture to support business analytics and uncover actionable trends.

Design and build scalable cloud-based data solutions, develop ETL pipelines for warehouses and data lakes, enforce data quality, optimize processing and storage, collaborate with data and product teams, and mentor other engineers. The role requires expertise in Python, PySpark, SQL, Databricks, AWS services, data modeling, medallion architecture, and scheduling technologies.

Leads India’s Growth Analytics team, delivering marketing mix modeling, ROI measurement, pricing analytics, category forecasting, social listening, and business intelligence. The role translates advanced statistical and econometric analyses into actionable recommendations for marketing investment, pricing, portfolio optimization, and business planning. It manages multiple analytics projects, partners with marketing, finance, sales, and category teams, presents insights to senior stakeholders, improves analytics processes, and develops team capability through mentoring and performance management.

Build and maintain scalable cloud-based data solutions, including ETL pipelines, data warehouses, data lakes, and data quality processes. Optimize data processing and storage, apply dimensional modeling and medallion architecture, and collaborate with engineering, product, modeling, analytics, and business stakeholders. Use Python, PySpark, SQL, Databricks, AWS services, and scheduling technologies to deliver reliable analytics infrastructure and support business insights.

Design and build scalable cloud-based data solutions and maintain ETL pipelines into data warehouses and lakes. Implement data quality and validation processes, optimize processing and storage performance, and apply dimensional modeling and Databricks Medallion Architecture. Collaborate with data teams, product owners, engineering leads, analysts, and stakeholders while following data engineering standards and best practices.

Design and build scalable cloud-based data solutions and maintain ETL pipelines into data warehouses and lakes. Ensure data quality, validation, storage efficiency, and performance. Collaborate with data architects, modelers, product owners, and stakeholders while applying modern cloud technologies and data-engineering standards. Lead internal and external data engineering teams to deliver projects on time.

Design and build scalable cloud-based data solutions, develop and maintain ETL pipelines, ensure data quality, optimize processing and storage, and support analytics initiatives. The role uses Python, PySpark, SQL, Databricks, AWS services, dimensional modeling, and scheduling technologies while collaborating with engineering, data modeling, analytics, product, and business stakeholders.

Design and build scalable cloud-based data solutions, develop ETL pipelines for data warehouses and lakes, ensure data quality, optimize storage and retrieval, and collaborate with data architects, modelers, product managers, analysts, and stakeholders. The role also guides junior data engineers and applies AWS, Databricks, Python, PySpark, SQL, Airflow, and data modeling technologies.

Develops analytical models and algorithms to identify business trends and support strategic decisions across supply chain networks. Responsibilities include data sourcing and validation, network modeling, scenario analysis, cost and service assessment, visualization, reporting, and stakeholder collaboration. The role supports projects involving sourcing, manufacturing capacity, distribution network design, inventory, and cost-to-serve, using tools such as Supply Chain Guru, Alteryx, Tableau, and Power BI.