Senior 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

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.

Senior Business Analyst (Data Algorithms)

dive into messy, real-world challenges

Key Responsibilities include

• 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
• Experience building and designing complex Problems
• Design & execute experiments and analyze experimental results
• Ensure end to end problem solving from designing phase to execution Phase and driving Consumption
• You need to work closely with Business to create Business Impact, not just share Insights

What’s In It for you in this Role

• 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

• High Ownership Role:

  You’ll own end-to-end analytics reporting, dashboards, and data flows for critical business functions

• Work with Modern Data Stack:

  Get hands-on experience with cutting-edge cloud technologies, BI tools, and scalable data pipelines

• Cross-Functional Visibility:

  Work closely with Fouunder, senior leadership, Product, Marketing, Finance, and Operations teams—your insights directly inform decision-making

• 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

• Innovation-Friendly Culture:

  Opportunity to experiment with automation, data modeling, and process redesign.

• Impact at Scale:

  Your work will influence company-wide KPIs, customer experience, revenue growth, and operational efficiency

• Learning & Development:

  Access to mentorship from experienced leaders in Data Science, Engineering, and Business

• Dynamic Work Environment:

  Fast-growing company with a strong focus on analytical excellence and continuous improvement

Requirements

• Strong analytical and quantitative skills with the ability to use data and metrics to justify requirements
• Exposure to Machine learning Algorithms to solve complex problems and create business Impact
• 3-5 years of experience in a role involving data extraction, analysis, Building Algorithms, and Problem Solving
• Proficiency in solving Problems using First Principle Approach
• You never hesitate to roll up your sleeves and tackle something hands-on, you persevere when others fall away
• A keen learner and willing to adapt to new environments
• Can lead, work independently as well as play a key role in a team

Good to Have Requirements

• Experise with Python and SQL for analytics or automation.
• Knowledge of AWS (S3, Athena, Glue, Lambda) or GCP/Azure equivalents.
• Familiarity with event-based systems like Mixpanel
• Understanding of data modeling and dimensional modeling (Star/Snowflake schema).
• Exposure to version control (Git) and documentation tools