Senior Business Analyst

Impact Analytics TM Series D Funded delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics With a fully integrated end-to-end platform for planning forecasting merchandising pricing and promotions Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year s inputs to forecast and plan this year s business Powered by over one million machine learning models Impact Analytics has been leading AI innovation for a decade setting new benchmarks in forecasting planning and operational excellence across the retail grocery manufacturing and CPG sectors In 2025 Impact Analytics is at the forefront of the Agentic AI revolution delivering autonomous solutions that enable businesses to adapt in real time optimize operations and drive profitability without manual intervention The impact that you will be making We are looking for a Data Engineer to join our data team to solve data-driven critical business problems The person in this role will be responsible for expanding and optimizing the existing end-to-end architecture including the data pipeline architecture The Data Engineer will collaborate with software developers database architects data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture consistency throughout ongoing projects The right candidate should have hands-on experience in developing a hybrid set of data-pipelines depending on the business requirements 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 Key Responsibilities Analytics Reporting Design build and automate post-transaction performance reports including order quality funnel analytics and fulfillment metrics Develop executive dashboards that provide leadership with insights on revenue customer behavior channel performance marketing ROI promotions and operational KPIs Create and maintain detailed Order Lifecycle analytics across order creation payment processing fulfillment shipping cancellations returns and post-purchase engagement Build Pricing and Promotion scorecards including elasticity analysis promo effectiveness price testing results and margin impact assessments Partner with martech and retail media teams to deliver measurement frameworks and reporting for campaign performance attribution and audience segmentation Business Insights Strategy Identify key trends patterns and business opportunities across omnichannel touchpoints website app in-store retail media networks CRM etc Deliver clear recommendations that influence product merchandising pricing CX and supply-chain strategies Support strategic initiatives related to customer lifecycle management acquisition retention personalization and loyalty Cross-Functional Collaboration Work closely with Product Marketing Martech AdTech Merchandising Operations Finance and Engineering to align business KPIs and measurement strategies Translate stakeholder requirements into analytics specifications and prioritize data development needs Act as a bridge between business teams and technical teams data engineering BI IT Tools Technology Use BI tools e g Tableau Power BI Looker Qlik to build scalable dashboards and visualizations Work with SQL Python or R for deep-dive analytics and automation Collaborate with data engineering teams to enhance data models and optimize data pipelines Utilize Martech Retail Media platforms e g Salesforce Marketing Cloud Adobe Google Marketing Platform CitrusAd Criteo or similar tools Qualifications Required 5-8 years of experience as a Business Analyst or Analytics Specialist in e-commerce omnichannel retail martech or retail media environments Strong understanding of e-commerce workflows digital operations customer journey and retail merchandising principles Demonstrated experience building executive-level dashboards and analytical frameworks Advanced proficiency in SQL and BI visualization tools Ability to work in high-ambiguity fast-moving and challenging environments Strong communication skills with the ability to present insights to senior stakeholders Preferred Experience with A B testing experimentation platforms or incrementality measurement Knowledge of retail media optimization digital advertising metrics and attribution modeling Background working with data engineering teams and familiarity with cloud data platforms Snowflake BigQuery Redshift Experience supporting pricing promotion or merchandising analytics Key Attributes Highly analytical with strong problem-solving capabilities Comfortable navigating ambiguity and leading initiatives independently Business-oriented mindset with the ability to prioritize based on impact Detail-oriented yet capable of delivering executive-ready insights Collaborative proactive and able to influence cross-functional partners What we offer 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 Our accolades include Ranked 72 in America s Most innovative Companies list in 2023 alongside companies like Microsoft Tesla Apple IBM etc Ranked as one of America s fastest growing companies by Financial Times for four consecutive years 2020-2023 Ranked as one of America s fastest-growing private companies by Inc 5000 for Six consecutive years 2018-2023 Recognized in multiple Gartner reports including Market Guides and Hype Cycle spanning assortment merchandising forecasting algorithmic retailing and Unified Price Promotion and Markdown Optimization Applications Featured as one of top 25 ML startups to watch by Forbes in 2019 Ranked as one of North Americas fastest-growing technology companies by Deloitte for two consecutive years 2019 2020