Senior Business Analyst

About Healthify: Healthify is a leading fitness and nutrition platform revolutionizing the way people manage their health. With cutting-edge AI tools and a vast database of Indian foods, we provide personalized nutrition and fitness solutions to help users achieve their health goals. We are looking for a dynamic Senior Business Analyst to drive the next phase of our growth and innovation.

Role Overview: As a Business Analyst you will collaborate with business and product managers to leverage advanced analytics tools and techniques, driving impactful insights and strategies. Your responsibilities include conducting high-level data analyses, developing analytical frameworks, and creating detailed reports. You will independently manage end-to-end analysis, build machine learning models, and align analytics with product goals. Additionally, you will oversee hiring, leading, and mentoring junior analysts. K

Key Responsibilities:

• You will work closely with business managers and product managers to create an enormous impact using the latest analytics tools and techniques.
• Work on high-level projects and deep dives to figure out insights from the data and build analytical frameworks and presentations.
• Be able to work on the end to end analysis independently.
• Build analytics reporting by making sure the tracking is done at the right frequency for the KPIs.
• Build ML models to mature a problem from Analytics state to Data Science.
• Co-own the product goals and drive analytics in the right direction to achieve the goals.
• You will be expected to be involved in hiring, leading, and mentoring junior analysts in the team.

Qualifications:

• Preferably 3+ years of analytical experience.
• Tier 1 engineering college graduate / MBA.
• Extremely strong analytical orientation and product understanding.
• Demonstrated experience in descriptive, predictive analytics and expertise in SQL and Python/R.
• Experience with Reporting and Business Intelligence tools like Tableau, Qlikview, Looker, etc.
• Experience with Clevertap, Mixpanel, Amplitude, etc.
• Exposure with distributed analytics processing technologies is desired (e.g. Hive, Spark).
• Ability to understand data architecture and data engineering pipelines is good to have.