Top Data & Analytics Jobs in Mumbai, MH

Analyze payments, transaction, customer, and operational data to produce reliable datasets, dashboards, reports, and business insights. Responsibilities include data cleansing, validation, governance, SQL and Python analysis, Databricks and Spark processing, reporting automation, visualization, quality checks, and stakeholder collaboration. The role identifies trends, anomalies, risks, and growth opportunities while documenting analytical processes and supporting data-driven decisions.

Leads the architecture, delivery, modernization, and operations of enterprise data platforms, warehouses, databases, and engineering solutions. Designs ETL/ELT and CDC pipelines, manages cloud and database environments, improves reliability, security, scalability, and cost efficiency, and drives migrations and strategic initiatives. Provides technical leadership, mentors engineers, coordinates cross-functional projects, manages incidents and root-cause analysis, supports capacity planning, and collaborates with security, cloud, SRE, analytics, and business teams.

Monitors business and operational KPIs across production environments, investigates alerts and incidents, performs root cause analysis, and analyzes data using SQL, Snowflake, Tableau, Splunk, and Excel. Develops dashboards, reports, alerts, and performance scorecards; communicates issues, supports incident management, and recommends automation and process improvements. Requires rotational 24x7 shift coverage, including weekends, holidays, and on-call support.

Designs, develops, and supports scalable cloud data pipelines, transformations, data models, and reporting datasets. Partners with engineering, business intelligence, and business teams to deliver reliable, governed data solutions. Monitors and troubleshoots production processes, improves performance and reliability, contributes to data quality and documentation standards, and participates in code reviews and engineering best practices.