Support Target's leadership team with critical data analysis to drive profitable decisions and scalable decision-making in the modern retail market.
Responsibilities
Translate business problems into well-defined analytical questions and structured approaches
Support scenario, decision, and action modelling to evaluate business trade-offs and inform recommended actions
Partner with Target business stakeholders to understand priorities and roadmaps, validate analytical requirements, and present insights and recommendations with clarity and impact
Develop and deliver analytical and AI-driven solutions (including GenAI, Agent, and Agentic approaches) that enable decision support, forecasting, optimization, and automation
Apply advanced analytics techniques, including causal, predictive, and prescriptive analytics, to drive deeper understanding of business levers and inform optimal actions
Requirements
B.Tech / B.E.
Masters in Statistics/Econometrics/Mathematics equivalent
BA/BS in a quantitative degree – Math, Statistics, Econometrics, Data Sciences, Computer Science
The BIA Data Engineer Designs, implements, and maintains complex data engineering solutions in the Business Intelligence and Analytics team, focusing on data aggregation, pipelines, and ETL/ELT.
Locations (2)
Pune, Maharashtra, India
Hyderabad, Telangana, India
Responsibilities
Designs and implements data stores and ETL data flows and data pipelines to connect and prepare operational systems data for analytics and business intelligence (BI) systems.
Manages production deployments and automation, monitoring, job control and production support.
Reviews and understands business requirements for development tasks and applies standard data modelling and design techniques.
Plans and drives the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements.
Contributes to technical transitions between development, testing, and production phases of solutions' lifecycle.
Design, build, and run core services and reusable components for the open-architecture AI platforms, enabling scalable ingestion, metadata-driven processing, governance, and reliable workflow automation. Deliver production-grade capabilities supporting agentic AI solutions
Responsibilities
Design and build backend services and shared libraries that provide platform capabilities
Streaming & batch ingestion frameworks
Metadata-driven pipelines
API and consumption layer integrations
Implement platform security controls including role-based access control, authentication, and integration with enterprise entitlements
Design, develop, and maintain enterprise-grade applications and services using C#, .NET Core, and ASP.NET Core, architect and implement scalable, resilient, and secure cloud-native solutions on AWS, develop RESTful APIs and microservices, lead technical design reviews, mentor junior and mid-level developers, collaborate with cross-functional teams within an Agile/Scrum environment.
Responsibilities
Design, develop, and maintain enterprise-grade applications and services using C#, .NET Core, and ASP.NET Core.
Architect and implement scalable, resilient, and secure cloud-native solutions on AWS.
Develop RESTful APIs and microservices while ensuring performance, maintainability, and backward compatibility.
A technical-sales role owning the end-to-end process from discovery and building prototypes/agentic workflows to carrying them through production for school leadership AI systems.
Compensation
You’ll get paid on the deals you help close, on top of base and equity.
Responsibilities
Sit in discovery with principals and school leaders to identify needs
Build prototypes, POCs, custom agentic tools, and eval scripts
Carry projects through to production and hand off to platform team
Co-own the pipeline with Sales to close deals
Turn customer requirements into shippable scopes and custom workflows
Requirements
Nice to have: forward-deployed engineering experience
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