Dear Candidate,
We have a requirement for Product Analyst for Isha Foundation, Coimbatore. Please find below the Job details:
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
Job Requirements:
● Minimum 2 years of experience in product analytics or related field
● Strong expertise over product analytics tools like Mixpanel or Amplitude to analyze user behavior patterns, product metrics, create & maintain dashboards to track key product metrics
● Generate reports and provide data-driven recommendations to improve user engagement,
retention, and conversion metrics
● Monitor and analyze user funnels to identify drop-off points and optimization opportunities
● 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 PowerBI, Tableau, QlikView
● 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 submit your resume.
Regards,
Priya Rajan