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. Show more Show less

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