Senior Data Analyst

Ujjivan Small Finance Bank; Bengaluru; Presencial; INR 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Ujjivan Small Finance Bank Ltd. is seeking a Data Analyst to transform data into actionable insights and support business decisions. You will coordinate with Sales, Finance, Risk and Credit teams to gather requirements and deliver reproducible analytics and compelling visualizations.

The role emphasizes data quality, KPI establishment, and regular MIS/PMO reporting to drive operational efficiency and revenue protection. Strong communication and banking domain knowledge are essential.

Formación

• BE/B.Tech or MCA or Equivalent degree.
• 3-5 years of overall BFSI data analytics experience.
• Experience with SQL, Python, Tableau, Excel.
• Experience with cleaning, transforming and visualizing large data sets.
• Knowledge of Big Data ecosystem tools (Hadoop, Hive, Spark, Kafka).
• Solid SQL skills for querying relational databases (SQL Server, DB2, MySQL, Oracle).
• Certifications in SQL, Python and Tableau.
• Certifications in AI/ML.
• Certifications in Data management and Data handling.

Responsabilidades

• Identify and gather data from various sources (databases, spreadsheets, APIs, etc.).
• Data cleaning and handling missing, duplicate, or inconsistent values.
• Transforming and reformatting data for analysis.
• Prepare comprehensive reports communicating findings to technical and non-technical stakeholders.
• Ensure data quality and integrity.
• Establish and monitor KPIs and metrics to measure business performance.
• Present findings in an understandable and actionable manner.
• Engage with stakeholders to translate business problems into analytical structures.

Conocimientos

SQL

Python

Tableau

Excel

Data Viz

Communication

Educación

BE/B.Tech or MCA or Equivalent degree

Herramientas

SQL Server

Hadoop

Spark

Tableau

Excel

Descripción del empleo

• 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

KEY DUTIES & RESPONSIBILITIES OF THE ROLE

• 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

• Decision making
• Structured thinker, effective communicator with excellent written communication skills
• Ability to understand organizational dynamics
• Ability to work with a cross functional team
• Good analytical & presentation skills
• Proficiency in English written and verbal communication skills
• Structured thinker, effective communicator with excellent written communication skills
• 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