Senior Data Analyst

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 important 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 Show more Show less