Job Description

About Comapny
First thing first, we are happy to share our success in hitting the $15M Series A Fundraise milestone, and we are all set to launch our rocket higher!!!
is a diverse team of problem solvers who believe that Digital Finance is the most effective way to drive financial inclusion. our infrastructure is used by over 80+ companies to deliver credit to over 3 million customers every month. Come, do work that matters.
We are building infrastructure for the future of banking!!! Using our tools; any company can embed & build financial products & services within their app.
Banks provide financial products & services - accounts/investments/lending & insurance. The next biggest bank won't be a bank. Banking will come to the apps you use & love.
It's already happening!! Here are some examples:
- You buy your trip insurance (financial product) on GoIbibo (not a bank)
- Get your BuyNowPayLater line (a lending product) on Dunzo (not a bank)
We are a passionate team of engineers, credit risk professionals, data scientists, and designers, on a mission to bring financial services to the next billion Indians.Team members wear many hats and grow within and across domains. Our programmers know the business and business reps can write code.
Position:- Product Analyst
Domain-Fintech,Banking, Financial
Location:- Bengaluru
Experience:- 2 Years to 5 Years
JD:-
## How You'll Contribute

• Co-own product KPIs, track, measure and help in improving the key metrics
• Assist product team with feature analysis, measuring impact, performance of features and suggest improvements based on the analysis.
• Execute experiments like AB tests to improve the entire funnel of the user journey, from acquisition to retention
• Finding the right metrics to look at, for multiple ongoing projects and suggesting, monitoring, and reporting product-level KPIs

• Data-oriented approach, a critical eye for numbers
• Understanding of different kinds of experiments- AB testing, multivariate, etc
• Strong SQL/ MongoDB and MS Excel skills
• Understanding of popular analytics frameworks
• Knowledge of different kinds of metrics- leading, lagging, Correlated, causal, etc
• Should be able to take the initiative and drive things independently
• Conceptual understanding of product analytics