WeRize - Senior Data Analyst (2-5 yrs)

About WeRize:

Founded in 2019 by Vishal Chopra and Himanshu Gupta, WeRize is building India's largest full stack fintech platform for 500 million underserved middle-class customers who live in 5000+ small towns of India. WeRize (Wortgage technologies Pvt Ltd) also owns RBI registered NBFC subsidiary (Wortgage Finance Pvt Ltd). This customer segment is not served by private sector banks, Insurers and Mutual Fund companies due to their low ticket-size and lifetime value and is dependent on PSU/Govt banks PSU/Government banks rarely provide financial products beyond basic savings accounts and these customers lack access to unsecured loans, MSME loans, credit cards, affordable housing loans, loan against property, health and life insurance and investment products.

WeRize manufactures innovative unsecured consumer credit, mortgages, loan against property, MSME loans, savings and insurance products designed for this customer base keeping in mind their needs, requirements and purchasing power, with a view to add a layer of financial security to their lives and enable access to credit. While customers in these geographies use smartphones, they need proper guidance and support when purchasing the right financial products for themselves. So, a pure digital model doesn't work for this segment. WeRize has innovated on this front through its 'Finance ki online dukaan (Social Shopify of Finance)', a first of its kind social distribution tech platform in the financial services space that educates and enables local financially literate freelancers across these small towns to source business through online and offline channels, recommend the right financial product(s) to customers as well as provide aftersalessupport. These freelancers, who are located in more than 5000+ towns and cities, earn as much as INR 30,000 a month from WeRize in commissions.

Our social distribution platform supported by financially literate freelancers means exceptionallylow cost of customer acquisition (CAC) and operations costs compared to both fully digital and on-the-ground financial services providers. Digital conversions among this target group are way lower when compared to upper income customers in metros and hence pure digital CAC doesn't work for this segment. While companies like LIC and Fino Bank also rely on freelancer distribution, they deploy local on-field teams/branches to manage freelancers in every city. That results in very high CAC and operations costs for such companies. WeRize on the other hand, has been able to acquire, train and manage thousands of freelancersin 5000+ cities only through itstech platform and without any feet-on-street team of its own. This results in highly profitable business model for Werize.

To know more about the company, please visit: https://www.werize.com/

Role Description:

- You will help shape WeRize credit, business and collections strategies by using data driven insights. As a key member of the team, you work closely with the team to craft and execute analytics-driven strategies.

Key Responsibilities:

- Identify business challenges and opportunities for improvement and provide data analysis driven recommendations.

- Includes the development of hypotheses, frameworks for tests, analysis, options, scoping operational feasibility, implementation and tracking outcomes.

What can you expect?

- Showcasing and honing your skills in a leading fintech with data-driven decision making at its core.

- Work in a challenging environment with one of the best analytical teams in the industry.

- Riding the growth bandwagon of a high growth company.

Qualifications:

- Excellent coding skills: Python coding (a must skill) and developing SQL queries.

- Independent Execution: Ability to adapt to changing requirements and deliver timely and actionable insights in a fast-paced environment.

- Strategic & Analytical Orientation: Exceptional logical, analytical, and reasoning skills complemented by the ability to form relevant hypotheses for problem solving, demonstrating a strong quantitative orientation and rigor.

- Self-Driven: Passion for innovation, capable of utilizing advanced techniques to drive data-driven decision making within the team.

- Team Player: Collaborative team player with excellent communication skills, able to work effectively with cross-functional teams to drive impactful data analysis and insights.