Data analyst

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 fintech's with a vision to unlock India’s financial potential. Combining our tech-enabled model with underwriting capability has allowed us to lending at scale to meet India’s huge gap for credit, especially with underserved and under penetrated segments of the population. We continue to be on a mission to revolutionize the Indian lending landscape after reaching the Top 50 lenders in India in FY23.

At CS India, we are committed to growing as a lender and evolving our offerings in India for the long-term for MSMEs, households, individuals and more. Being registered with the Reserve Bank of India (RBI) and one of the few marquee lenders in India that can claim to have an AAA rating from CRISIL (a subsidiary of S&P Global) and CARE Ratings, we are one of the strongest financial houses in India. having a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5 B and an employee base of about 1,000 people.

Credit Saison India (CS 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.

Based in Singapore, over 1,000 employees work across Saison’s global operations spanning Singapore, India, Indonesia, Thailand, Vietnam, Mexico, Brazil.

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.

Roles and Responsibility : This role requires deep, demonstrable expertise in Tableau and will be central to converting complex financial and operational data into critical business insights.

Core Responsibilities (Tableau Mastery)

The primary focus of this role is on the entire Tableau development lifecycle:

Advanced Tableau Development:

Solely responsible for the design, development, and maintenance of executive and

operational dashboards using Tableau Desktop and Tableau Server/Cloud.

Implement advanced Tableau techniques, including Level of Detail (LOD) expressions, complex custom calculations, calculated fields, parameters, and action filters to solve specific business problems. Optimize Tableau workbooks and data sources for maximum performance and fast rendering across various access methods.

Data Sourcing & Preparation: Write and optimize complex SQL queries to extract and structure data specifically for consumption in Tableau. Utilize Tableau Desktop (or similar tools) for building reports with visualization.

Fintech Insight Generation: Collaborate with stakeholders in Finance and Risk to define key performance indicators (KPIs) relevant to our fintech business (e.g., risk scoring, portfolio health, revenue forecasting). Create compelling, story-driven visualizations that communicate complex financial trends and risks simply and effectively.

Deployment & Governance: Manage data connections, publish data sources, and administer security settings on

Tableau Server to govern access and ensure data integrity.

Required Skills & Qualifications Experience: 3-5 years of focused experience, with at least 3 years dedicated to Tableau development.

Tableau Proficiency (Mandatory): Expertise in the full suite of Tableau products (Desktop, Server/Cloud, Prep).

Demonstrated portfolio of complex, production-ready Tableau dashboards.

Data Querying (Mandatory):

Expert-level command of SQL for data extraction and manipulation.

Domain Knowledge (Highly Preferred):

Proven experience working with data in the Fintech, Banking, or Financial Services

sectors.

Soft Skills: Proven ability to engage with non-technical business leaders to understand

their data needs and translate them into accurate, visual reports.

Desired Skills (Bonus Points)

● Tableau Certification (e.g., Tableau Certified Data Analyst, Desktop Specialist).

● Experience with Python or R for advanced statistical analysis feeding into Tableau