Senior AI Analyst - Product Delivery

Impact Analytics; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Generous health insurance cover

Flat work environment

Opportunities for rapid growth

Job summary

Impact Analytics in Bengaluru seeks a skilled data analyst with strong SQL and Python expertise to join the supply chain analytics team. You will be responsible for building production data pipelines and performing root-cause analysis on data quality issues.

The ideal candidate will have 3-5 years of experience in analytics, preferably within a retail or consulting environment. This position offers an opportunity to be part of innovative SaaS products with attractive remuneration and health benefits.

Qualifications

• Demonstrable, hands-on proficiency writing complex SQL queries against large datasets.
• Strong proficiency in Python for data manipulation and automation.
• Experience with building production pipelines in Apache Airflow.

Responsibilities

• Write advanced SQL and PL/SQL to extract and validate data.
• Build and maintain production data pipelines in Apache Airflow.
• Run root-cause analysis on data quality issues.

Skills

Advanced SQL & PL/SQL

Python

Apache Airflow

Demand Planning / Supply Chain experience

Hands-on experience with demand or fulfillment planning platforms

3-5 years in supply-chain analytics

Strong analytical and problem-solving skills

Working Experience in Cloud data platforms

Git and Agile delivery tools

Education

Bachelor’s or Master’s in Supply Chain Management, Operations Research, Computer Science, Engineering, Statistics, or a related field

Job description

Impact Analytics is an agentic‑first AI software company transforming retail merchandising through cutting‑edge AI, LLMs, and Generative AI technologies. As a fast‑growing Series D company with deployments across five continents, it is building both industry‑leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made. What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India‑born AI companies recognized globally by organizations such as Fortune, Gartner, and the Inc. 5000. For candidates looking to work on next‑generation AI products with global scale and real‑world impact, Impact Analytics is an exciting place to build your career.

www.impactanalytics.co

Job Impact

• 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.
• 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.

Qualifications

• 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, NumPyscikit‑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.
• Hands‑on experience with demand or fulfillment planning platforms such as Blue Yonder, o9 Solutions, SAP IBP, or Kinaxis.
• 3–5 years in supply‑chain analytics, demand planning, or data analytics within a consulting, SaaS, or retail/CPG environment.
• 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.
• Bachelor’s or Master’s in Supply Chain Management, Operations Research, Computer Science, Engineering, Statistics, or a related field.

Benefits

• 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.