Lead Data Analyst - Hybrid

JD - Lead Data Analyst 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 approx ~2000 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. Build automated dashboards and reports, craft analyses and tell stories with data to help Monitor the performance of new features and recommend iterations based on your Execute deep & complex quantitative analyses that translates data into actionable Drive data driven decision making through the stakeholders. ● Influence data-driven decisions across the business spectrum - product/data science /engineering/finance / partnerships - through end-to-end ownership of projects ● Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) and work experience with 3-5 years experience in a data analysis The ability to clearly and effectively communicate the results of complex analyses ● Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems, api frameworks, storage systems on premises and cloud-based data sources along with strong SQL skills. ● Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. ● Experience and knowledge of statistical modeling techniques: Experience with Excel, Word, and PowerPoint. ● Strong background in statistical modeling and experience with statistical tools such R, Python, Spark, SAS or SPSS. ● Have hands-on experience with visualization tools (Tableau, PowerBI, Qlikview, D3.Js ● Any exposure to the Fintech industry, preferably digital lending background, is a