Business Analyst

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

About the Role:

We are looking for a highly analytical and detail-oriented Business Analyst to own the development of data reports, build intuitive analytics dashboards, and work closely with business, product and engineering teams to manage end-to-end data streams.

This role sits at the intersection of business, data, and technologyturning raw data into insights that drive strategic decision-making across the company.

l Solve Challenging and Muddy problems leveraging the Fundamentals of Analytics and Business Intelligence. You need to have hunger to bring change in the organization leveraging the power of Data

l Experience building and designing complex dashboards

l Develop Reports for Business to influence Key Business KPIs

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. 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 teamsyour insights directly inform decision-making

l Career Acceleration: Build a deep understanding of data engineering, business strategy, and advanced analyticsideal 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 25 years of experience in Business Analytics or Data Analytics.

l Strong proficiency in SQL and Python(PostgreSQL/MySQL/BigQuery/Snowflake).

l Proficiency in Building Dashboards enabling Business Impact

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

Good to Have Requirements

l Experience with Python 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.