Senior Business Analyst

Role overview

Senior Business Analyst at Impact Analytics

Required qualifications

• 4-7 years of experience as a Business Analyst in e-commerce, omnichannel retail, martech, or retail media environments.
• Proficient in Python (with libraries such as NumPy, Pandas, Scikit-learn) and hands-on experience in complex code building and deployment.
• Advanced proficiency in SQL for handling large-scale datasets efficiently.
• Proficiency in hypothesis testing, descriptive analytics using EDAs and AI/ML techniques, and familiarity with statistical modelling, (e.g., regression, classification, clustering).
• Experience with Excel and Tableau for data visualization and storytelling.
• Experience with working on Omni-Channel Metric, WBR/MBR.
• Strong experience in data wrangling, feature engineering, and pipeline development for large scale datasets.
• Familiarity with cloud platforms, version control (e.g., Git), and collaborative development practices is a plus.
• Exceptional analytical and problem-solving skills with attention to detail.
• Experience with the retail and CPG industry is a plus.
• Strong communication and storytelling abilities to effectively present insights and drive data-driven decision-making.
• What we offer An opportunity to be part of some of the best enterprise SaaS products to be built 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.
• Some of our accolades include 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

Employment details

• Location: Bangalore [India]

About the employer

• 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 like 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.
• Here’s a link to our website: www.impactanalytics.co .
• Overview We are seeking a highly skilled Senior Business Analyst with deep experience in e-commerce, omnichannel environments, and martech/retail media ecosystems .
• The ideal candidate has a proven track record of thriving in fast-paced, challenging environments , and has hands-on experience building post-transaction analytics , executive dashboards , order lifecycle reporting , and pricing & promotion scorecards .
• This role requires strong business acumen, analytical excellence, and the ability to translate complex data into actionable insights that support strategic decision-making.
• What lands you in this role Prepare and transform complex datasets using advanced data wrangling, cleansing and preprocessing techniques to ensure high-quality inputs for AI models, products and analytics.
• Design and maintain robust data ingestion pipelines to integrate data from diverse sources seamlessly.
• Conduct in-depth exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights that inform business and AI model and product development.
• Utilize Python and SQL extensively for data manipulation, querying, and deploying AI-driven analytical models and products.
• Build intuitive dashboards and reports using Excel, Tableau to visualize findings and model outcomes.
• Translate complex machine learning model outputs into clear, data-driven insights for both technical and non-technical stakeholders.
• Collaborate closely with data scientists, engineers, and business teams to integrate AI solutions into operational workflows.
• Contribute to the evaluation, and optimization of statistical models and machine learning algorithms for high-impact business use cases.
• Stay updated on emerging AI trends & technologies, and industry best practices to continuously improve product performance and scalability, and product implementation efficiency.