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 heart of business, data, and technology-turning imperfect, real-world data into insights that drive strategic decisions at scale.

We are hiring a Senior Business Analyst (Data Algorithms) to solve some of our most impactful business problems by building algorithms that shape our platform's core logic.

This is not a routine or maintenance role.

You will tackle ambiguity head-on, design solutions from first principles, and create real business impact through data-backed decisions.

Key Responsibilities include:

- Take on messy, ambiguous problems and crack them using strong Data Science and Analytics fundamentals-with a bias for action and impact.

- Break down complex problem statements, design solutions from scratch, and move fast from idea to execution.

- Run experiments end-to-end: define hypotheses, launch tests, analyze results, and iterate quickly.

- Own problems fully-from whiteboard design to production rollout and driving real adoption.

- Work shoulder-to-shoulder with business teams to move key metrics, not just publish insights or dashboards.

What's In It for you in this Role:

- Build a Standout Career: Work in a team whose members have earned top industry recognition, including IQ 30 Under 30 in Analytics and domain excellence awards.

Reporting directly to the Head of Analytics, you'll collaborate with high-calibre professionals who raise the bar every day.

- Real Ownership, Real Impact: Own analytics end-to-end-from data pipelines and dashboards to decision frameworks-for some of the most critical business problems.

- Modern Data Stack Exposure: Get hands-on with a cutting-edge cloud and analytics stack, scalable data pipelines, and production-grade BI and experimentation tools.

- Front-Row Seat to Leadership: Partner closely with founders and senior leaders across Product, Marketing, Finance, and Operations.

Your work directly shapes decisions, not just reports them.

- Fast-Track Your Growth: Build deep, practical expertise across analytics, data engineering, and business strategy-setting you up for future roles in Product Analytics, Data Science, or Analytics Engineering.

- Experimentation-First Culture: Freedom to experiment with automation, data modeling, algorithms, and process redesign.

Good ideas get shipped, not parked.

- Impact at Scale: See your work move core KPIs-customer experience, revenue, margins, and operational efficiency-across the organization.

- Learn from the Best: Get direct mentorship and feedback from experienced leaders in Data Science, Engineering, and Business.

- High-Velocity Environment: Join a fast-growing company that values speed, ownership, and analytical rigor-and rewards people who make things happen

Requirements:

- Strong analytical and quantitative skills, with the ability to use data, metrics, and logic to back decisions-not gut feel.

- Hands-on exposure to Machine Learning algorithms, using them to solve real business problems and create measurable impact.

- 3-5 years of experience working with data end-to-end: extracting data, analyzing it, building algorithms, and solving complex problems.

- Thinks from first principles-breaks problems down to fundamentals and builds solutions ground-up.

- Not afraid to get hands-on.

You roll up your sleeves, push through ambiguity, and stay the course when things get tough.

- Curious by default-constantly learning, adapting, and evolving in fast-changing environments.

- Comfortable leading when needed, owning problems independently, and collaborating deeply as a core team member.

Good to Have Requirements

- Strong hands-on experience with Python and SQL for analytics, automation, and building data-driven solutions.

-Working knowledge of cloud platforms-AWS (S3, Athena, Glue, Lambda) or equivalent services on GCP / Azure.

-Familiarity with event-driven data systems such as Mixpanel or similar product analytics platforms.

- Solid understanding of data modeling concepts, including dimensional modeling (Star and Snowflake schemas).

- Comfortable using version control (Git) and maintaining clear, practical documentation