MobiKwik - Product Analyst

Key Day to Day Responsibilities :

- Continuously turn business questions into data analysis to make data & evidence based decisions and crucial business recommendations.

- Create visual displays of quantitative information to deliver effective presentations of findings and recommendations to multiple levels of leadership, develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.

- Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.

- Have experimentation at the core of what you do. You own and evangelize data-driven experimentation in the team to improve the product offerings, and document it.

- Co-own Metrics with the PM and deliver meaningful experiments to grow them. Work deeply as a part of Product team

- Build and maintain User Segmentation for your Product and across Products.

- Build Key frameworks for User Retention and Aha moment Analysis and Deployment across the Core Product. Use and Learn latest techniques for the same.

SOUND LIKE YOU?

- We're looking for someone dynamic and you'll need to have the below in generous quantities to succeed in this role.

- You have a Bachelor's degree in Math, Statistics, Comp Science, Engineering, or other technical field is a must; Advanced degrees will be preferred.

- You have a very good understanding of mobile and Internet products, growth strategies and business dynamics.

- You have 1 to 6 years experience performing quantitative analysis, preferably for an Internet or technology company.

- You have strong hands-on experience with SQL.

- You are comfortable manipulating, transforming, and analysing complex, high-volume, high-dimensionality data from varying sources. Experience with querying massive scale data with Hive and BigQuery is preferred.

- You have experience in reporting and dash-boarding with tools like Tableau, Looker, Qlikview, Google Analytics etc.

- You have good understanding of statistical analysis, data warehousing, data modeling

- Experience with statistical packages such as R, MATLAB, SPSS, SAS etc. is preferred.

- You have the ability to execute research projects and craft actionable recommendations.

- You have excellent organisational, communication, presentation and interpersonal skills

- You enjoy working in both individual and team settings.