Senior Business Analyst

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.

Experience
4-7 yrs