Top Tech Jobs & Startup Jobs in Mumbai

Manage accounting and inventory reconciliation for external supply chain and third-party co-packers. Responsibilities include resolving inventory discrepancies, preparing journal entries and reports, performing grain accounting, overseeing product costing and SAP material setup, conducting account reconciliations, supporting audits and Sarbanes-Oxley compliance, and implementing process improvements. The role also requires maintaining documentation, meeting service-level agreements, and partnering with manufacturing facilities and business stakeholders.

Develop statistical, machine learning, causal inference, attribution, forecasting, and optimization models to measure marketing effectiveness and improve omnichannel investment decisions. Partner with marketing, sales, finance, agencies, and technology teams to define analytical problems, build scalable production-ready solutions, conduct A/B tests, communicate insights, and improve model performance. The role also supports promotional optimization, vendor evaluation, data integration, and adoption of analytical tools and processes.

Supports Walmart category advisor teams through recurring and ad hoc analytics, assortment and shelving analysis, planogram and Relay drawing support, and fact-based category recommendations. The role develops category stories, improves reporting and data quality, manages multiple deliverables, and collaborates with stakeholders to strengthen in-store execution and drive category growth.

Designs, develops, deploys, and supports scalable backend services and APIs for the Box Tops for Education platform. Owns end-to-end delivery of complex modules using .NET Core, Web API, microservices, SQL Server, and PostgreSQL. Responsibilities include production support, Tidal batch-job monitoring, troubleshooting, performance tuning, database migration support, architectural discussions, code reviews, Agile planning, and technical guidance to peers.

Lead the design and delivery of scalable data pipelines, models, quality frameworks, and cloud-based data solutions. Partner with analysts, architects, and business stakeholders to define technical architecture, evaluate emerging technologies, troubleshoot data ecosystem issues, and advance engineering practices. Mentor data engineers, lead project teams, contribute to shared data libraries, and support hiring and onboarding. The role requires strong expertise in Google Cloud, Python, SQL, BigQuery, Dataflow, Composer, dbt, observability, orchestration, and modern data engineering.

Analyzes agentic commerce and digital shelf requirements; defines product information use cases, business rules, data and content standards, user stories, process flows, and acceptance criteria. Partners with product, technology, content, and retail stakeholders to improve PIM, digital asset, content collaboration, and syndication capabilities. Leads process improvement workshops, coordinates delivery dependencies, supports testing and validation, and documents transition requirements for sustainable platform ownership.

Supports the Product Information Capabilities team by translating business needs into technology requirements, user stories, processes, and technical specifications. Collaborates with product owners, technical teams, business stakeholders, vendors, and consulting partners to improve product information management, resolve publication issues, coordinate data requirements, establish best practices, and support technology adoption through demos and training.

Analyzes and improves product information capabilities by gathering business requirements, translating findings into user stories, coordinating technical development and vendors, documenting processes, supporting demos and training, and ensuring data standards align with business and global product information goals.

Manage customer orders, transactions, inquiries, and service issues across phone, email, and chat. Investigate order, delivery, return, and refund problems; escalate complex cases; maintain accurate records; and use operational data to identify recurring issues. Collaborate with Field Sales, Supply Chain, logistics, and customer teams to resolve problems, maintain service levels, improve processes, and enhance customer satisfaction. This individual contributor role works a 3:30 PM–12:30 AM shift.

The Senior Manager of Financial Planning and Analysis for Manufacturing will support financial planning and analysis activities within the manufacturing organization. The provided description contains no specific responsibilities or qualifications beyond general company information and eligibility requirements.