BI Analyst
Maharashtra, Thane, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Education & alternatives
● Tableau (dashboard development, calculated fields, parameters). ● SQL (complex joins, window functions, query optimization). ● Strong analytical mindset with ability to solve operations-specific problems (e.g., capacity planning, SLA adherence). ● Bachelor’s degree in Engineering, Math, or Statistics from a Tier 1/Tier 2 institute. ● Experience working with large datasets and ETL pipelines. Good-to-Have ● Python for data manipulation (Pandas, NumPy) and automation. ● Exposure to FinTech/Digital Lending (e.g., loan processing, fraud detection). ● Familiarity with statistical concepts (A/B testing, regression). Soft Skills ● Ability to communicate insights effectively to non-technical stakeholders. ● Proactive attitude to navigate ambiguity in a fast-paced environment.
Tools in this posting
- Python
- SQL
- Tableau
- NumPy
- pandas
Source — Tool mentions in context
● Tableau (dashboard development, calculated fields, parameters). ● SQL (complex joins, window functions, query optimization). ● Strong analytical mindset with ability to solve operations-specific problems (e.g., capacity planning, SLA adherence). ● Bachelor’s degree in Engineering, Math, or Statistics from a Tier 1/Tier 2 institute. ● Experience working with large datasets and ETL pipelines. Good-to-Have ● Python for data manipulation (Pandas, NumPy) and automation. ● Exposure to FinTech/Digital Lending (e.g., loan processing, fraud detection). ● Familiarity with statistical concepts (A/B testing, regression). Soft Skills ● Ability to communicate insights effectively to non-technical stakeholders. ● Proactive attitude to navigate ambiguity in a fast-paced environment.
Key Responsibilities: 1. Reporting & Visualization ○ Design, develop, and maintain Tableau dashboards for real-time monitoring of operational KPIs (e.g., turnaround time, efficiency, risk metrics). ○ Automate recurring reports to reduce manual efforts. 2. Data Analysis & Insights ○ Perform deep-dive analyses to identify bottlenecks, trends, and opportunities in operational workflows. ○ Translate findings into actionable recommendations for process improvements. 3. Cross-functional Collaboration ○ Partner with Central Analytics to align on data governance, metrics definitions, and advanced modeling needs. ○ Act as the bridge between Operations teams and Data Science for predictive analytics use cases (e.g., demand forecasting, risk scoring). 4. Data Integrity & Governance ○ Ensure accuracy and consistency of operational data by implementing validation checks in SQL/queries. ○ Document data lineage and key metric calculations. ○ Adhere to the policy & guidelines shared by Central Analytics/DS team related to Data governance and security Required Skills & Qualifications Must-Have
2+ years of hands-on experience in: ● Tableau (dashboard development, calculated fields, parameters). ● SQL (complex joins, window functions, query optimization). ● Strong analytical mindset with ability to solve operations-specific problems (e.g., capacity planning, SLA adherence). ● Bachelor’s degree in Engineering, Math, or Statistics from a Tier 1/Tier 2 institute. ● Experience working with large datasets and ETL pipelines. Good-to-Have ● Python for data manipulation (Pandas, NumPy) and automation. ● Exposure to FinTech/Digital Lending (e.g., loan processing, fraud detection). ● Familiarity with statistical concepts (A/B testing, regression). Soft Skills ● Ability to communicate insights effectively to non-technical stakeholders. ● Proactive attitude to navigate ambiguity in a fast-paced environment.
About Credit Saison India
Established in 2019, 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.
In the employer’s words · Read in context
Job description
About Credit Saison:
Established in 2019, 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. CS 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, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B 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.
More about us on https://www.creditsaison.in
Established in 2019, 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. CS 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, CS India has a branch network of 45 physical offices, 1.2 million active loans, an AUM of over US$1.5B 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.
More about us on https://www.creditsaison.in
Key Responsibilities:
1. Reporting & Visualization
○ Design, develop, and maintain Tableau dashboards for real-time monitoring of operational KPIs (e.g., turnaround time, efficiency, risk metrics).
○ Automate recurring reports to reduce manual efforts.
2. Data Analysis & Insights
○ Perform deep-dive analyses to identify bottlenecks, trends, and opportunities in operational workflows.
○ Translate findings into actionable recommendations for process improvements.
3. Cross-functional Collaboration
○ Partner with Central Analytics to align on data governance, metrics definitions, and advanced modeling needs.
○ Act as the bridge between Operations teams and Data Science for predictive analytics use cases (e.g., demand forecasting, risk scoring).
4. Data Integrity & Governance
○ Ensure accuracy and consistency of operational data by implementing validation checks in SQL/queries.
○ Document data lineage and key metric calculations.
○ Adhere to the policy & guidelines shared by Central Analytics/DS team related to Data governance and security
Required Skills & Qualifications
Must-Have
○ Design, develop, and maintain Tableau dashboards for real-time monitoring of operational KPIs (e.g., turnaround time, efficiency, risk metrics).
○ Automate recurring reports to reduce manual efforts.
2. Data Analysis & Insights
○ Perform deep-dive analyses to identify bottlenecks, trends, and opportunities in operational workflows.
○ Translate findings into actionable recommendations for process improvements.
3. Cross-functional Collaboration
○ Partner with Central Analytics to align on data governance, metrics definitions, and advanced modeling needs.
○ Act as the bridge between Operations teams and Data Science for predictive analytics use cases (e.g., demand forecasting, risk scoring).
4. Data Integrity & Governance
○ Ensure accuracy and consistency of operational data by implementing validation checks in SQL/queries.
○ Document data lineage and key metric calculations.
○ Adhere to the policy & guidelines shared by Central Analytics/DS team related to Data governance and security
Required Skills & Qualifications
Must-Have
2+ years of hands-on experience in:
● Tableau (dashboard development, calculated fields, parameters).
● SQL (complex joins, window functions, query optimization).
● Strong analytical mindset with ability to solve operations-specific problems (e.g., capacity planning, SLA adherence).
● Bachelor’s degree in Engineering, Math, or Statistics from a Tier 1/Tier 2 institute.
● Experience working with large datasets and ETL pipelines.
Good-to-Have
● Python for data manipulation (Pandas, NumPy) and automation.
● Exposure to FinTech/Digital Lending (e.g., loan processing, fraud detection).
● Familiarity with statistical concepts (A/B testing, regression).
Soft Skills
● Ability to communicate insights effectively to non-technical stakeholders.
● Proactive attitude to navigate ambiguity in a fast-paced environment.
● Strong analytical mindset with ability to solve operations-specific problems (e.g., capacity planning, SLA adherence).
● Bachelor’s degree in Engineering, Math, or Statistics from a Tier 1/Tier 2 institute.
● Experience working with large datasets and ETL pipelines.
Good-to-Have
● Python for data manipulation (Pandas, NumPy) and automation.
● Exposure to FinTech/Digital Lending (e.g., loan processing, fraud detection).
● Familiarity with statistical concepts (A/B testing, regression).
Soft Skills
● Ability to communicate insights effectively to non-technical stakeholders.
● Proactive attitude to navigate ambiguity in a fast-paced environment.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on creditsaisonin-talent.freshteam.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Maharashtra, Thane, India
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- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 66
- Last seen by us
- Sep 29, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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