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Data Analyst 1

Credit Saison India
Mumbai, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
TableauTableau DesktopTableau ServerSQLPythonR
Free

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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 and Responsibilities

  • 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.

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.

• 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):

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 CertifiedData Analyst, Desktop Specialist). ● Experience with Python or R for advanced statistical analysis feeding into Tableau

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