Data Analyst

AU SMALL FINANCE BANK; Jaipur; On-site; INR 600,000 - 900,000; Full time

Job summary

AU SMALL FINANCE BANK in Jaipur is seeking a results-driven Data Analyst to join the analytics team. The role partners with business, operations, risk and technology stakeholders to analyze complex problems, derive insights, and support data-driven decisions in a large banking environment.

You will perform business analysis, data analytics, and deliver timely insights with ownership. Must – strong business acumen, communication, and SQL/Python/SAS or PySpark skills; 2+ years in data analytics; a

Qualifications

• Strong business acumen and analytical problem-solving skills.
• Ability to understand data, business issues, and potential analytical solutions end-to-end.
• Good communication and stakeholder management skills.
• Willingness to take ownership and work in a delivery-driven environment.

Responsibilities

• Analyze business problems and translate them into data-driven analytical solutions.
• Collaborate with Business, Operations, Risk, and Technology stakeholders across the bank.
• Perform exploratory data analysis and develop analytical models to support business initiatives.
• Demonstrate ownership of deliverables and ensure timely, high-quality delivery.

Skills

Business acumen

Analytical thinking

Communication

Education

Bachelor's degree in Engineering/CS/Math/Stats

Tools

Python

SAS

PySpark

SQL

Job description

Job Description:

Role: Data Analyst

Work Location: Jaipur

Band: A3

HR Designation: Executive/Senior Executive

Working Days: 5.5 (1,3 & 5 Saturday is working)

Working Mode: Work from office

Work Timings: 9:15 AM – 6:15 PM

Employment Type: Full-time

Reporting: Lead - Analytics

Role Summary

We are looking for a results-driven Data Analytics professional with strong business acumen and analytical thinking. The role involves working closely with Business, Operations, and Technology stakeholders across the bank to analyze complex business problems, derive insights from data, and support data-driven decision-making. The ideal candidate will be curious, self-motivated, and comfortable operating in a large, multi-stakeholder banking environment.

What You’ll Do

• Business Analysis & Stakeholder Collaboration
  • Analyze business problems and translate them into data-driven analytical solutions.
  • Collaborate with Business, Operations, Risk, and Technology stakeholders across the bank.
  • Understand business context, data availability, and operational constraints to propose effective analytics use cases.
• Data Analytics & Insights
  • Perform exploratory data analysis and develop analytical models to support business initiatives.
  • Work on multiple banking use cases, preferably in credit risk and related domains.
  • Apply analytics techniques to identify trends, risks, opportunities, and performance gaps.
• Delivery & Ownership
  • Demonstrate a results-oriented mindset with strong ownership of deliverables.
  • Commit to timelines, take charge of assigned tasks, and ensure timely and high-quality delivery.
  • Operate effectively in a large organization with diverse and cross-functional stakeholders.
• Learning & Innovation
  • Continuously learn new tools, techniques, and business concepts at an accelerated pace.
  • Show curiosity and initiative to enhance analytics capabilities and improve solution quality.

Success Metrics (first 12 months)

• Successful delivery of assigned analytics use cases within agreed timelines.
• Strong adoption of analytical insights by business stakeholders.
• Improved decision-making outcomes supported by data-driven analysis.
• Positive feedback from stakeholders on collaboration and analytical contribution.

Must-Have Qualifications

• Strong business acumen and analytical problem-solving skills.
• Ability to understand data, business issues, and potential analytical solutions end-to-end.
• Good communication and stakeholder management skills.
• Willingness to take ownership and work in a delivery-driven environment.

Technical Skills

• Strong programming skills in Python, SAS, or PySpark .
• Hands-on experience in Data Analytics and AI techniques .
• Strong SQL programming knowledge.
• Exposure to cloud-based data infrastructure (preferred).
• Banking and financial services experience is preferred.

Experience

• Minimum 2+ years of experience in data analytics or a related role.

Education

• Bachelor’s Degree in Engineering, Computer Science, Mathematics, Statistics, or a related discipline.