- POSITION DESCRIPTION

JOB TITLE : Senior Data Analyst

GRADE : M

DEPARTMENT : Data Sciences and Decision Management

LOCATION : HO

SUB-DEPARTMENT : NA

TYPE OF POSITION : Full-time

REPORTS TO : Senior Data Analyst

REPORTING INTO

NA

- ROLE PURPOSE &
- OBJECTIVE
- The Data Analyst is responsible for advising the business on the potential of data, to provide new insights into the business’s mission.
- Take initiatives and Ideate analytics projects which have scope of incremental revenue / reducing cost / increased operational efficiency
- Support in creating custom reports and presentations accompanied by strong data visualization and storytelling to take necessary data driven actionable
- The candidate will need to be able to effectively communicate the intended processes, provide a clear understanding of what data is required and available
- Transforming and reformatting data into a usable structure for analysis.
- Preparing comprehensive reports that effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders.
- Collaborating with cross-functional teams (e.g., Sales, finance, Risk and Credit) to understand business requirements and validate data.
- SIZE OF THE ROLE

FINANCIAL SIZE NON-FINANCIAL SIZE
- Rs 80 Lakhs cost saving through exception reports and revenue leakage plug in.
- Rs 10-25 Lakhs FTE cost saving
- 10 - 50 BAU Monthly reports
- 30-100 Monthly SRs handling
- Coordinate with Stakeholders
- Exception reports and Report automation
- Maintain Agreed TAT for SRs and BAUs
- Handling 1-3 Projects like SLBC, EDR, PSLC, Bureau reporting etc
- KEY DUTIES & RESPONSIBILITIES OF THE ROLE

- Business/ Financials
- Identifying and gathering data from various sources (databases, spreadsheets, APIs, web scraping, etc.).
- Data cleaning and handling missing, duplicate, or inconsistent values.
- Transforming and reformatting data into a usable structure for analysis.
- Preparing comprehensive reports that effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders.
- Ensuring data quality and integrity
- Identifying areas to increase efficiency and optimize data collection and analysis processes.
- Establishing and monitoring Key Performance Indicators (KPIs) and other metrics to measure business performance .
- Presenting findings in an understandable and actionable manner.
- Engage with business stakeholders to understand their business process and translate business problems into analytical structures using visualization tools
- Maintain a high level of engagement with business.



Periodically prepare and communicate learning from business trends, to ensures enhancements in business growth projections and tracking them against actual business
- Collaborate with Senior Data Scientist/Senior Data Analysts to communicate obstacles and findings to relevant stakeholders in an effort to improve decision making and drive business performance.
- Develop and provide a set of regular MIS, KPIs, Key Drivers & portfolio data across all product and segment areas.
- Setup the analytical capability in providing value-added analysis and MIS review for the product and distribution groups.
- Monitor product performance and competitive environment; highlight significant trends, gaps & opportunities for the business; cost-effective marketing, repricing or fee opportunities
- Design, develop & distribute operational and qualitative reporting to provide stakeholders with consistent insights into regulatory matters and operational progress
- Produce periodic and ad-hoc senior management and stakeholder reports with appropriate controls over manual, semi-automated and automated reporting functions
- Customer (Both Internal &
- External)
- Supporting infrastructure setup for analytics driven initiatives of the Bank.
- Timely delivery of required reports to Business team
- Data accuracy while submitting data to external stake holders like RBI, Credit Bureau
- Liaison with IT/DW/Operations departments to ensure accuracy of the data and data governance management through customized MIS and quality management for reliable outcomes for consumption
- Ensure all deliverables are followed through maker and checker process
- Internal Process
- Liaison with IT/DW/Operations departments to ensure accuracy of the data and data governance management through customized MIS and quality management for reliable outcomes for consumption.
- Constantly look for increasing the efficiency of the team and department resulting into reducing TAT of analytics projects, e.g.

Process enhancement, automation etc.

- Innovation &
- Learning
- Upskill to new age technologies with respect to Data analytics. Enhance on-job self-learning related to analytics techniques/tools
- Ensure timely completion of training / learning programs assigned time to time




- Upskill to new age technologies with respect to customer segmentation and business tracking. Enhance on-job self-learning related to analytics techniques/tools
- MINIMUM REQUIREMENTS OF KNOWLEDGE &

SKILLS

Educational

Qualifications

- BE/B.TECH or MCA or Equivalent degree

Experience (Years and Core Experience Type)
- Overall experience of 3-5 years preferably in the BFSI domain with specific experience in Data analytics and Data handling skills.
- Experience in using tools SQL, Python, Tableau, Excel etc.
- Experience with cleaning, transforming and visualizing large data sets in various data formats (e.g. unstructured logs, XML, JSON, flat files, Avro, Parquet)
- Knowledge of Big Data ecosystem tools (e.g.

Hadoop, Hive, Spark, Kafka)

- Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL, Oracle)

Certifications
- Certifications in SQL, Python and Tableau
- Certifications in AI/ML
- Certifications Data management and Data handling

Functional Skills
- Good in MS office and data Analysis / building reports
- Knowledge of CRM application, Finacle and other banking applications
- Eye for details and reading numbers
- High business acumen with good understanding of banking operations across all channels
- Solid interpersonal and communication skills with ability to build strategic relationships and influence stakeholders and deliver presentations to executive audience

Behavioral Skills

- Team work
- Decision making
- Assertiveness
- Structured thinker, effective communicator with excellent written communication skills
- Ability to understand organizational dynamics
- Ability to work with a cross functional team
- Excellent people management & stakeholder management skills
- Good analytical & presentation skills
- Proficiency in English written and verbal communication skills
- Structured thinker, effective communicator with excellent written communication skills

Competencies
- Cross functional engagement
- Vendor management
- Problem solving
- Understanding of the financial sector, to recognise and drive forward opportunities where data science can transform the bank
- Skilled at influencing and communicating to various stakeholders up to executive level
- KEY INTERACTIONS

INTERNAL

EXTERNAL

- All Functional Heads (Business &
- Support functions) & their teams
- Data Science &
- Decision Management team members
- Data Wearhouse team
- Third Party Service Providers
- Credit Bureaus

PREPARED BY: Rajendra Reddy (Senior Data Scientist) DATE: 01-08-2025

REVIEWED BY: Nitin Kumar (CAO)

DATE: 01-08-2025

LAST UPDATED BY: TM Team

DATE: 20-02-2026

📌 Senior Data Analyst (Bengaluru)
🏢 Ujjivan Small Finance Bank
📍 Bengaluru