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.

Role :

- This role sits at the intersection of business, data, and technologyturning 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. Youll 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 :

- 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

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

- 3-7 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