Business Analyst

4 days ago


Bengaluru, Karnataka, India WeRize Full time
Job Description

About WeRize

Founded in 2019 by Vishal Chopra and Himanshu Gupta, WeRize is building Indias largest full stack fintechplatform 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 segmentis not served by privatesector banks, Insurersand 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 properguidance and support when purchasing the right financial products for themselves. So, a pure digital model doesnt 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 after sales support.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 literatefreelancers means exceptionally low 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 comparedto upper income customers in metros and hence pure digital CAC doesnt workfor this segment. While companies like LIC and Fino Bank also rely on freelancer distribution, they deploy local on-fieldteams/branches to manage freelancers in every city. That resultsin very high CAC and operations costs for such companies. WeRize on the other hand, has been able to acquire, train and manage thousandsof freelancers in 5000+ citiesonly through its tech 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:

We are seeking a motivated and detail-oriented Business Analyst to join our Strategic Initiatives (SI) team. In this role, you will support the collection operations team in managing day-to-day activities, building performance trackers, optimizing customer allocation for our calling and field teams, and providing actionable insights through data analysis. This is a great opportunity for a recent graduate or a professional with up to 2 years of experience, particularly in collections, credit, or related fields. The ideal candidate is a data-driven problem solver with a strong ability to collaborate across functions.

Key Responsibilities:

- Performance Tracking: Develop and maintain performance trackers for the collection operations team, including tracking key performance indicators (KPIs) related to customer payments, team productivity, and overall operational efficiency.
- Customer Allocation: Assist in the allocation of the customer base to calling and field teams, ensuring that customers are assigned based on their DPD (Days Past Due) status and that resources are optimally distributed.
- Data Analysis: Analyze operational data to identify trends, bottlenecks, and areas for improvement. Provide regular reports and insights to the operations team to inform strategic decisions.
- DPD Bucket Performance: Focus on improving the performance of different DPD (Days Past Due) buckets: 0-30, 31-60, 61-90, and NPA. Develop strategies to enhance collection efficiency and reduce NPA (Non-Performing Assets) across each bucket.
- Key Metrics: Track and analyze key metrics such as NPA and collection efficiency across the various DPD buckets, ensuring that performance targets are met.
- Process Improvement: Collaborate with the operations team to identify and implement process improvements based on data analysis and industrys best practices.
- Cross-Functional Collaboration: Work closely with other departments, including credit, risk, and strategy teams, to ensure alignment and support the broader objectives of the collection operations.
- Tool and Query Development: Write and execute queries to extract data from various systems. Develop tools and spreadsheets that facilitate better decision-making and operational efficiency.

Attributes we are looking for:

- Education: Bachelors degree in a relevant field (from a Tier I College)
- Experience: Up to 2 years of experience in a similar role, ideally within collections, credit, or financial services. Candidates with experience in solving complex problems in other industries will also be considered.
- Technical Skills:

- Proficiency in Excel, Google Sheets, and other spreadsheet tools.

- Ability to write and execute SQL, Python.

- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

- Analytical Skills: Strong analytical and problem-solving skills with an ability to draw insights from data and translate them into actionable recommendations.
- Communication Skills: Excellent verbal and written communication skills. Ability to present complex data in a clear and concise manner.
- Collaboration: Ability to work cross-functionally and build relationships with stakeholders at all levels of the organization.
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