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Senior Business Analyst

Agrim · Business Analytics & Data Science · Senior

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Location
Gurugram, HR, India
Employment type
Full-time
Work mode
Work from Office
Experience
4
Salary
{"minimum": 21.0, "maximum": 25.0, "currency": "INR", "salaryPeriod": 0, "cultureInfo": "en-IN"}
Posted
2025-12-10

Skills

["Communication Skills""Delivery Excellence""Advanced Excel""Ownership""KPI analytics""Basic Communications skill."]

Technology stack

{}

Description

Our Vision : Agrim is an asset-light agri-inputs e-commerce platform for retailers. We recently raised $20.5 million in Series B funding from Asia Impact and BII to enhance our technology, expand our product offerings, and scale operations. Our journey: Agrim in a fast-growing agri-tech startup building an on-demand B2B Agri-inputs marketplace. Agri-inputs is a $50bn industry spread across Seeds, Agro Chemicals, Fertilizers, Agro-Tools and Animal Feed. AGRIM has scaled up rapidly across India, with 10% of the overall customer universe already on-boarded on the platform. Having closed our Series B round of funding (to be announced publicly in the coming weeks) with Tier-1 investors, we are very well capitalized. Our Founders are IIT/ IIM graduates and ex-entrepreneurs (with successful exits) and we have also built one of the best start-up teams, with senior executives from Tier-1 education institutes, e-commerce companies such as Amazon, Hopscotch, Policy Bazaar, etc. and experienced industry professionals from the agriculture sector Know More About Agrim - https://building-agrim.notion.site/What-is-Agrim-9371916f6ec74e83810c55f9666494f2 Role: This role sits at the intersection of business, data, and technology—turning raw data into insights that drive strategic decision-making across the company. We are looking for a Senior Business Analyst (Data Algorithms) who will play a critical role in solving high-impact business problems by designing and building algorithms for our platform. This is not a “maintenance” role. You’ll be expected to dive into messy, real-world challenges, design first-principle solutions, and drive business impact through data-led decision making. Key Responsibilities include l Solve Challenging and Muddy problems everaging the Fundamentals of Data Science and Analytics. You need to have hunger to bring change in the organization leveraging the power of Data l Experience building and designing complex Problems l Design & execute experiments and analyze experimental results l Ensure end to end problem solving from designing phase to execution Phase and driving Consumption l You need to work closely with Business to create Business Impact, not just share Insights What’s In It for you in this Role l Shape your career with us: Our team members and peers have been recognized with prestigious industry awards, including IQ 30 Under 30 in Analytics and domain-specific excellence awards. Reporting directly to Head of Analytics, You will work alongside high-calibre professionals who set industry benchmarks l High Ownership Role: You’ll own end-to-end analytics reporting, dashboards, and data flows for critical business functions l Work with Modern Data Stack: Get hands-on experience with cutting-edge cloud technologies, BI tools, and scalable data pipelines l Cross-Functional Visibility: Work closely with Fouunder, senior leadership, Product, Marketing, Finance, and Operations teams—your insights directly inform decision-making l Career Acceleration: Build a deep understanding of data engineering, business strategy, and advanced analytics—ideal for future growth into Product Analytics, Data Science, or Analytics Engineering roles l Innovation-Friendly Culture: Opportunity to experiment with automation, data modeling, and process redesign. l Impact at Scale: Your work will influence company-wide KPIs, customer experience, revenue growth, and operational efficiency l Learning & Development: Access to mentorship from experienced leaders in Data Science, Engineering, and Business l Dynamic Work Environment: Fast-growing company with a strong focus on analytical excellence and continuous improvement Requirements l Strong analytical and quantitative skills with the ability to use data and metrics to justify requirements l Exposure to Machine learning Algorithms to solve complex problems and create business Impact l 3-5 years of experience in a role involving data extraction, analysis, Building Algorithms, and Problem Solving l Proficiency in solving Problems using First Principle Approach l You never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away l A keen learner and willing to adapt to new environments l Can lead, work independently as well as play a key role in a team Good to Have Requirements l Experise with Python and SQL for analytics or automation. l Knowledge of AWS (S3, Athena, Glue, Lambda) or GCP/Azure equivalents. l Familiarity with event-based systems like Mixpanel l Understanding of data modeling and dimensional modeling (Star/Snowflake schema). l Exposure to version control (Git) and documentation tools

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