Data Analyst 1

About Credit Saison India

Established in 2019, Credit Saison India (CS India) is one of the country’s fastest growing Non-Bank Financial Company (NBFC) lenders, with verticals in wholesale, direct lending and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. Its tech-enabled model coupled with underwriting capability facilitates lending at scale, meeting India’s huge gap for credit, especially with underserved and under penetrated segments of the population.

Credit Saison India is committed to growing as a lender and evolving its offerings in India for the long-term for MSMEs, households, individuals and more. Credit Saison India is registered with the Reserve Bank of India (RBI) and has an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings.

Currently, Credit Saison India has a branch network of 80+ physical offices, 2.06 million active loans, an AUM of over US$2B and an employee base of about 1,400 employees.

Credit Saison India is part of Saison International, a global financial company with a mission to bring people, partners and technology together, creating resilient and innovative financial solutions for positive impact. Across its business arms of lending and corporate venture capital, Saison International is committed to being a transformative partner in creating opportunities and enabling the dreams of people.

Saison International is the international headquarters (IHQ) of Credit Saison Company Limited, founded in 1951 and one of Japan’s largest lending conglomerates with over 70 years of history and listed on the Tokyo Stock Exchange. The Company has evolved from a credit-card issuer to a diversified financial services provider across payments, leasing, finance, real estate and entertainment. Based in Singapore, Saison International’s global operations span over Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil, with active investments in debt, equity, corporate venture capital, and technology.

Roles & Responsibilities :

• Data Stewardship & BI Layering : Act as a Data Steward to manage and govern data assets. Design and prepare refined data sets to be efficiently plugged into designed analytical layers (e.g., semantic layer) for consumption by BI tools

Develop insights to identify opportunities and drive product strategies. Gain insight into

customer use of current products, untapped opportunities and buyer personas.

features and new releases

our teams make better decisions

findings

hypothesis and quantify the impact of these drivers on the relevant KPI

insights

needed.

/ engineering / finance / partnerships - through end-to-end ownership of projects

acquisition, retention, and operational metrics.

Required skills & Qualifications :

(IIT / IIIT / NIT / BITS) and work experience with 1-4 years experience in a data analysis

related profile for an internet company

in ambiguity, and has a strong bias for action.

collecting data from multiple data systems, api frameworks, storage systems on

premises and cloud-based data sources along with strong SQL skills.

techniques : hypothesis development, designing tests / experiments, analyzing data,

drawing conclusions, and developing actionable recommendations for business units.

regression, logistic regression, log-linear regression, variable selection, etc.

R, Python, Spark, SAS or SPSS.

startup environment

Plus

Practical knowledge or experience with Databricks environments for large-scale data processing and analysis is highly preferred.