Senior Business Data Analyst

Job description

Dear Candidate, Hope you are doing well !!!  **Straive,** a leader in delivering technology-driven data/AI solutions for EdTech, Research, and Information Services to leading global organizations **Gramener,** a Straive company, is a leading data science and analytics firm specializing in transforming complex data into compelling visual narratives. Founded in 2010, Gramener combines data storytelling with advanced analytics and AI to empower organizations with actionable insights. The company's solutions are tailored to diverse industries, including healthcare, retail, and finance, enabling smarter decision-making and strategic growth. As part of the Straive group, Gramener continues to innovate and deliver client-focused solutions, establishing itself as a trusted partner in driving data-driven transformations globally. Thanks for showing your interest in Gramener. Please look into the JD and revert with your acceptance here. Job Description: **Location:** Bangalore (Whitefield) - At least 4 days WFO at Client ODC **Job Description: Senior Data Consultant Supply Chain (BA + DA)** **Overview** We are seeking a **Senior Data Consultant** with strong expertise in **Business Analysis and Data Analytics** to drive supply chain transformation initiatives. This role requires a professional who can bridge business requirements with advanced data solutions, lead delivery across crossfunctional teams, and ensure measurable impact on manufacturing, operations, and inventory workflows. **Responsibilities:** **Data Analyst – Supply Chain Domain** **Role Overview** We are seeking a **Data Analyst** with strong technical expertise in **Python and SQL** and proven experience in the **Supply Chain / Manufacturing domain**. The ideal candidate will leverage advanced analytics, data modeling, and visualization to optimize supply chain operations, improve inventory management, and support data-driven decision-making. Exposure to **Business Analysis** and emerging technologies such as **GenAI** is preferred. **Key Responsibilities** - Develop and maintain **Python scripts and SQL queries** for data extraction, transformation, and analysis across supply chain datasets. - Build and optimize **data pipelines** integrating ERP, inventory, logistics, and manufacturing systems. - Perform **root cause analysis** on operational inefficiencies, production workflows, and inventory discrepancies. - Design and deliver **interactive dashboards** (Power BI/Tableau) to monitor KPIs such as WIP, BOM, lead times, stockouts, and demand forecasts. - Collaborate with cross-functional teams (supply chain, operations, finance, IT) to gather requirements and translate them into scalable data solutions. - Support **business analysis activities** including requirement gathering, BRDs/FRDs, process mapping, and stakeholder communication. - Apply **predictive analytics and statistical modeling** to improve demand planning, production scheduling, and inventory optimization. - Explore and apply **GenAI tools** (preferred) to automate reporting, enhance workflows, and generate actionable insights. **Required Skills & Experience** - **Mandatory:** - Strong hands-on expertise in **Python** (data wrangling, statistical analysis, ML libraries preferred). - Strong hands-on expertise in **SQL** (joins, window functions, optimization, ETL). - Proven **Supply Chain / Manufacturing domain experience** (inventory management, procurement, production workflows, logistics). - **Preferred:** - Experience with **BI tools** (Power BI, Tableau) and advanced Excel. - Exposure to **GenAI / AI-driven analytics**. - Business Analysis skills (requirement gathering, stakeholder management, documentation). - Familiarity with ERP systems (SAP, Dynamics 365, Oracle, etc.). **Qualifications** - Bachelor’s degree in Engineering, Computer Science, or related field. - Master’s degree in Business Analytics, Supply Chain, or Operations preferred. - Certifications in **Data Analytics, Supply Chain Analytics, or BI tools** are a plus. **Ideal Candidate Profile** - A **techno-functional analyst** who combines strong **Python + SQL technical skills** with **supply chain domain expertise**. - Comfortable working with large datasets and translating insights into operational improvements. - Strong communicator with the ability to collaborate across global teams and present findings to stakeholders. - Curious, detail-oriented, and eager to apply **emerging technologies (GenAI, advanced analytics)** to supply chain challenges.