Top Tech Jobs & Startup Jobs in Mumbai

Leads commercial sales reporting and analytics capabilities by translating business requirements into technical specifications, coordinating data processes, and partnering with analysts, engineers, BI developers, architects, and stakeholders. Combines retailer and syndicated data sources, supports data quality and downstream delivery, writes SQL, develops tests and automation, documents processes, and provides technical consultation. Serves as a data expert and trusted partner while managing enhancements, support requests, and business-driven projects.

Develops enterprise data science and machine learning solutions across forecasting, classification, optimization, ecommerce, and market mix modeling. Responsibilities include sourcing and engineering data, building scalable models, communicating insights, collaborating with technical teams, creating automation solutions, and establishing data science standards and processes. The role also supports innovation involving generative and agentic solutions.

Designs and delivers governed Business Intelligence, conversational analytics, and AI-driven summarization solutions. Builds semantic models, dashboards, architectures, validation processes, and natural-language querying capabilities using Tableau, Looker, BigQuery, SQL, and Python. Leads requirements, development, testing, deployment, governance, stakeholder workshops, and post-launch monitoring while improving data quality, performance, usability, adoption, and trust in AI-enabled analytics.

Leads architecture, implementation, integration, modernization, and optimization of Salesforce Marketing Cloud and Data Cloud solutions. Configures and customizes Marketing Cloud technologies, develops APIs and data integrations, ensures security and compliance, participates in Agile delivery, and mentors Salesforce Marketing Engineers. Partners with architects and product teams to deliver scalable customer data, personalization, and cross-channel marketing capabilities.

Leads end-to-end demand planning and monthly forecasting across channels, collaborating with Marketing, Finance, Sales, analysts, and supply chain teams. Develops item, week, and location forecasts; supports new product launches and S&OP; improves forecasting accuracy, inventory targets, and customer service. Drives process standardization, automation, continuous improvement, KPI reporting, and waste reduction. Mentors and trains demand planning team members while working a 3:30 p.m. to 12:30 a.m. shift.

Drives end-user engagement, education, training, feedback, and adoption of MillsWorks supply chain products. Partners with Product Owners and business teams to identify users, prioritize backlog requests, support testing, facilitate demos and feedback sessions, and implement process changes. The role also helps translate business requirements, measure value realization, manage change, and coordinate stakeholders across global supply chain and technology teams.

Develop and maintain end-to-end full-stack applications using the .NET stack and modern web frameworks. Responsibilities include designing technical solutions, resolving production issues, integrating systems, improving development processes, enforcing code quality, testing, and collaborating with global cross-functional teams. The role also contributes to proofs of concept, technology evaluations, agile delivery, and knowledge sharing.

Develop and support enterprise application-to-application and B2B EDI integrations using webMethods, SAP IDocs, and EDI standards. Manage data mapping and change-control processes, troubleshoot integration issues, respond to critical webMethods flow-service defects, and collaborate with analysts, partners, vendors, and administrators on root-cause analysis and remediation. The role requires monthly rotational shift flexibility.

Designs and executes data, ETL, business intelligence, and database testing. Validates end-to-end data flows using SQL and BigQuery within GCP, performs data quality checks, documents defects, and supports root-cause analysis. Collaborates with developers, analysts, and stakeholders to improve test automation, delivery governance, and testing efficiency. The role requires 5–7 years of quality engineering or data testing experience, with preferred knowledge of cloud platforms, Python, dbt, and DevOps.

Analyzes manufacturing and supply chain data to identify trends, root causes, and improvement opportunities. Develops statistical, optimization, predictive, prescriptive, and machine learning models to improve plant productivity, reliability, maintenance, waste, and costs. Builds dashboards and self-service analytics solutions using Python, Dash, SQL, and BigQuery, while applying data quality, automation, version control, and deployment practices. Partners with stakeholders, communicates insights, delivers projects independently, follows Agile practices, and mentors analysts.