Senior product analyst
4 weeks ago
Dear Candidate, We are looking for a Senior Product Analyst with experience in mobile App analytics, who is passionate about building digital products that can put yoga and meditation from a realized master in the hands of 7 billion people on the planet.
You will join a small and evolving team that is passionate about realizing Sadhguru’s vision and at the same time is also committed towards their own personal growth.
You will be hands-on and at the same time get an opportunity to define, and lead the analytics practice, and to shape up the future of the digital products at Isha.
Please find below the Job Responsibilities: Be an integral part of the pod strategy and will have to define the critical metrics.
You'll also monitor performance trends and influence any interventions, based on performance.
Collaborate closely with the business, and product functions to understand the business problem and translate them into the right analytical problem statement Own the entire insight generation phase and work on deep, thorough analysis to provide unbiased answers on the identified problem statement.
These insights and decisions will be influenced based on your presentation of the evidence, backed by data-driven hypothesis Move past just being the "Data person" and contribute with individual thoughts on how to improve the critical metrics for the pod.
We love people who think of themselves as the business owner and then goes back to the data to prove or disprove the thought.
Act as the analytics and visualization SME for the team and ensure that the dashboards are designed and built in a way that makes it easy for the pod to consume the data they need.
Mentor other analysts in the team; play an active role in hiring process & new team members' onboarding process Requirements: Minimum 2 years of analytics experience as Business Analyst (Mandatory) Strong problem solving & analytical skills Penchant for business & curiosity to understand how the product works Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis Intuition for data and ability to handle big data sources Strong working knowledge in Excel and visualization tools like Power BI, Tableau, Qlik View Understanding of data-analysis languages such as R, Python and in core statistical concepts is expected; Experience in building ML models is good-to-have, but not mandatory Ability to clearly explain thoughts and ideas either verbally or in the written form.
Candidates who are able to explain the story behind their analysis will find themselves at an advantage Interested candidates please forward your resume.
Regards, Priya Rajan
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