Analytics Manager

About Impact Analytics

Impact Analytics™ (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.

Overview

We are seeking a highly skilled Lead Data Engineer 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.
  
  

• 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.
  
  

• 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).
  
  

• 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).
  
  

• 7-9 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.
  
  

• 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.
  
  

• 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.
  
  

• 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 #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