Lead AI Analyst - Product Delivery

Location: Bengaluru, India

Department: Customer Success and Implementation

Experience: 5-8

• Write advanced SQL and PL/SQL — complex queries, stored procedures, and transformation logic —to extract, transform, and validate planning data across ERP, data-warehouse, and platform environments.
• Develop predictive analytics and machine learning algorithms for business applications, ensuring the seamless integration of analytics with business objectives
• Build, schedule, and maintain production data pipelines in Apache Airflow, authoring DAGs, handling dependencies and backfills, and configuring monitoring and alerting for demand, inventory, and fulfilment datasets.
• Develop Python (Pandas, NumPy) for data wrangling, and automation of recurring data tasks.
• Run root-cause analysis on data-quality issues (missing master data, outliers, erroneous transactions) and build automated validation and reconciliation checks that hold from development through UAT and go-live.
• Optimise query performance and batch processes for high-volume enterprise data environments.
• Diagnose order-fulfilment bottlenecks across inventory positioning and replenishment cycles, applying inventory policies such as safety stock, reorder points, and service levels.
• Support scenario and what-if analysis for supply disruptions, demand volatility, and new-product introductions.
• Build KPI dashboards (Tableau / Power BI / Excel) that give planning teams real-time visibility into demand-to-fulfillment performance.
• Translate business requirements into platform data-model specifications and interface mapping documents.
• Support solution architects in configuring demand and fulfilment modules on the IA platform.
• Execute SIT and UAT — authoring test cases, running validation cycles, logging defects, and verifying resolution.
• Serve as the analytical point of contact for client data and planning teams during implementation and post-go-live support.
• Maintain project documentation — data dictionaries, process flows, configuration logs, and lessons learned.
• Manage and mentor a team of at least 2-3 members, providing technical guidance and demonstrating strong organizational and leadership skills.

• 5–8 years of overall experience, acting as a Lead AI Analyst, within a consulting, SaaS, or retail/CPG environment.
• 6+ years of experience in Data Analytics, Model development, and deployment.
• Experience managing teams of at least 2-3 members, paired with strong organizational and leadership skills.
• Strong forecasting experience with mandatory exposure to developing predictive analytics and machine learning algorithms for business applications.
• Hands-on experience working across SQL, R, Python, and Hadoop.
• Advanced SQL & PL/SQL — demonstrable, hands-on proficiency writing complex queries, stored procedures, and transformation logic against large-scale datasets.
• Python — strong working proficiency for data manipulation, automation, and analysis (Pandas, NumPy, scikit-learn a plus).
• Apache Airflow — hands-on experience building and operating production pipelines/DAGs, not just running pre-built ones.
• Demand Planning / Supply Chain experience — practical knowledge of statistical forecasting, forecast accuracy measurement (WMAPE/Bias/FVA), replenishment, and inventory policies (safety stock, reorder points, service levels), ideally within S&OP / S&OE cycles.
• Good knowledge of data management and visualization techniques.
• Understanding and exposure to business applications and the integration of analytics with businesses.
• Hands-on experience with demand or fulfillment planning platforms such as Blue Yonder, o9 Solutions, SAP IBP, or Kinaxis.
• Experience with enterprise data environments, ERP systems such as SAP, Oracle.
• Strong analytical and problem-solving skills, with the ability to translate data findings into business recommendations, and clear communication with both business and IT stakeholders.
• Working Experience in Cloud data platforms such as Snowflake, Google BigQuery, Azure Synapse, or AWS Redshift.
• Exposure to ML-based demand sensing or autonomous replenishment tooling.
• Familiarity with Git and Agile delivery tools (Jira, Confluence).
• APICS (CPIM) certification or an equivalent supply-chain qualification.
• Prior experience in retail, FMCG or CPG industries.
• B Tech/BE degree in Computer Science, Data Science, Mathematics, or a similar field.

• An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
• A flat, collegial work environment, with a work hard, play hard attitude.
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best-in-class industry standards with generous health insurance cover

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.