Live opening · Posted 27 days ago
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About the role
Description supplied by the original job listing.
Responsibilities:
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.
High Ownership Role: You'll own end-to-end analytics reporting, dashboards, and data flows for critical business functions AGRIM.
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 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.
2-5 years of experience in Business Analytics or Data Analytics.
Strong proficiency in SQL and Python(PostgreSQL/MySQL/BigQuery/Snowflake).
Proficiency in Building Dashboards enabling Business Impact.
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 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.
Experience
1-5 yrs
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