• 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 key 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