Senior Business Analyst

Agrim Wholesale; Gurugram District; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Agrim Wholesale is searching for a Senior Business Analyst to tackle complex business problems through data-driven algorithms. This role requires 3-7 years of experience in data analysis and problem-solving. You will work closely with senior leadership and various teams to create business impact through innovative data solutions. Ideal candidates should be proficient in Python and SQL, with a strong understanding of machine learning and data modeling. Join us in a dynamic work environment focused on analytical excellence.

Qualifications

• 3-7 years of experience in data extraction, analysis, building algorithms.
• Experience with Python and SQL for analytics or automation.
• Exposure to machine learning algorithms to create business impact.

Responsibilities

• Solve challenging problems using data science and analytics.
• Design and execute experiments and analyze results.
• Work closely with businesses to drive consumption and impact.

Skills

Analytical and quantitative skills

Machine learning algorithms

Problem-solving using first principle approach

Python for analytics

SQL for automation

Data modeling and dimensional modeling

Event-based systems knowledge

Exposure to version control (Git)

AWS (S3, Athena, Glue, Lambda)

GCP/Azure equivalents

Job description

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 will be expected to dive into messy, real-world challenges, design first-principle solutions, and drive business impact through data-led decision-making.

Responsibilities:

• Solve challenging and muddy problems, ever-aging the fundamentals of data science and analytics. You need to have hunger to bring change in the organization, leveraging the power of data.
• Experience in building and designing complex problems.
• Design and execute experiments and analyze experimental results.
• Ensure end-to-end problem-solving from the designing phase to the execution phase and drive consumption.
• You need to work closely with businesses to create business impact, not just share insights.
• 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 the Head of Analytics, you will work alongside high-caliber 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 the Modern Data Stack: Get hands-on experience with cutting-edge cloud technologies, BI tools, and scalable data pipelines.
• Cross-Functional Visibility: Work closely with the founder, 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 and 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.
• 3-7 years of experience in a role involving data extraction, analysis, building algorithms, and problem-solving.
• Proficiency in solving problems using the first principle approach.
• You never hesitate to roll up your sleeves and tackle something hands-on, and you persevere when others fall away.
• A keen learner and willing to adapt to new environments.
• Experience 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.