AU Small Finance Bank is hiring for an FRESHER entry level Data Analyst role in India

Position:

• (Data Analyst / 0-2 yoe ) // Senior Executive Analytics 

• Entry level opportunity designed for candidates at the beginning of their analytics career

• Focused on data analytics within the IT department of a banking organization

• Role emphasizes business aligned data analysis, modelling, and practical implementation of insights

• Ideal for individuals interested in applying analytics in financial services, especially credit risk related domains

Company:

• AU Small Finance Bank

• A large scale Indian banking institution with a strong presence across multiple regions

• Recognized for its rapid growth and evolution in the financial services sector

• Known for combining traditional banking principles with technology driven innovation

• Operates with a customer centric philosophy, aligning products and services with real market needs

Location:

• Jaipur, Rajasthan, India

• Based at JPO 1 office location

• Opportunity to work in a structured corporate banking environment

• Exposure to cross functional teams within a major financial institution

Job type:

• Full Time employment

• Permanent role within the IT and Analytics function

• Designed to provide structured exposure and professional growth in banking analytics

Job mode:

• Onsite

• Requires working closely with business, operations, and technology teams within the office environment

• Encourages in person collaboration across departments

Job requisition id:

• Job33021

Years of experience:

• 0 to 2 years of relevant work experience

• Open to freshers with strong foundational knowledge in analytics

• Candidates with early exposure to data analytics, credit risk analysis, or banking projects will be preferred

Company description:

• AU Small Finance Bank was founded with a long term vision of creating meaningful financial inclusion while building a strong banking institution in India

• Established by Mr. Sanjay Agarwal, a Chartered Accountant and first generation entrepreneur, the organization began its journey with the ambition to grow responsibly while serving communities

• Over the years, the bank has transformed from a small finance institution into a rapidly expanding financial entity with a significant workforce and national presence

• The bank currently employs more than ten thousand professionals and serves a wide customer base across retail and commercial segments

• Its strategy is built on customer first thinking, ensuring that products and services are aligned with practical needs rather than generic market trends

• The institution is progressing toward becoming a Universal Bank, reflecting its expanding capabilities, infrastructure, and regulatory evolution

• Technology plays an important role in its growth strategy, especially in risk management, analytics, customer engagement, and operational efficiency

• The organization emphasizes ethical banking, structured governance, and disciplined growth

• It values innovation in financial services, particularly in areas such as credit risk evaluation, lending analytics, and data driven decision making

• With a strong focus on community development and sustainable expansion, the bank integrates financial performance with social responsibility

Profile overview:

• The Senior Executive Analytics role is designed for individuals who combine analytical reasoning with business understanding

• The position requires translating raw data into structured insights that can support strategic and operational banking decisions

• The candidate will be expected to understand real business problems, especially those connected to credit risk and financial decision frameworks

• Strong analytical thinking is necessary to interpret patterns, identify anomalies, and recommend data backed solutions

• The role includes collaboration with multiple stakeholders including business units, operations teams, and technology departments

• Professionals in this position will contribute to designing analytical models and assisting in data driven risk assessment processes

• Exposure to credit risk analysis and modelling is considered an advantage, especially in lending or portfolio monitoring contexts

• The role encourages ownership of deliverables, ensuring that assigned projects are executed with accountability and clarity

• Candidates must demonstrate curiosity, initiative, and willingness to learn rapidly in a dynamic banking environment

• Working within a large organization, the role demands adaptability, structured communication, and comfort with cross functional coordination

• The individual should be capable of understanding complex datasets and transforming them into dashboards, models, or analytical outputs that assist leadership

• It is an opportunity for early career professionals to build expertise in analytics within the banking sector

Qualifications:

• Bachelor’s or Master’s degree in a quantitative field such as Engineering, Statistics, Mathematics, Computer Science, Finance, or related discipline

• Foundational knowledge of data analytics principles including data cleaning, transformation, visualization, and interpretation

• Strong proficiency in Python programming for data analysis, modelling, and automation tasks

• Solid understanding of SQL for querying relational databases and extracting structured datasets

• Familiarity with data modelling concepts and exposure to predictive modelling techniques

• Awareness of artificial intelligence concepts and how they can be applied in banking use cases

• Understanding of credit risk fundamentals, loan portfolio management, or financial risk metrics will be beneficial

• Ability to interpret business requirements and convert them into analytical frameworks

• Experience working with structured and semi structured datasets

• Knowledge of cloud based data environments will be considered an advantage

• Capability to build dashboards or data visualization outputs using analytical tools

• Strong logical reasoning and problem solving ability

• Clear communication skills to present insights to both technical and non technical stakeholders

• Self driven approach toward learning and professional development

• Comfort working in a regulated environment such as banking

Additional info:

• The role sits within the IT department, indicating a strong connection between analytics and technology infrastructure

• Candidates will work on diverse banking use cases, potentially including credit risk modelling, customer analytics, operational optimization, and portfolio monitoring

• Exposure to large scale datasets typical of banking systems will help professionals develop strong data handling skills

• The environment encourages accountability and measurable outcomes, emphasizing delivery and results

• Interaction with multiple internal stakeholders ensures holistic exposure to how analytics integrates with business strategy

• The organization values individuals who show initiative and commitment toward project ownership

• Candidates may have opportunities to participate in AI driven initiatives within the bank

• Prior experience in banking is preferred but not mandatory for high potential candidates with strong analytical capability

• Working within a large organization requires professionalism, structured documentation, and adherence to compliance guidelines

• The position offers a strong foundation for building a long term career in financial analytics, risk management, and data science within the banking sector

• It provides early career professionals with exposure to real world decision systems rather than purely academic modelling

• The role supports accelerated learning for those who actively engage with business challenges and technical solutions

Please click here to apply.