Data Analyst-Wholesale Banking

Job Requirements

Data Analyst

Data& Analytics

Primary Responsibilities

• Identify and scope business requirements and priorities through structured information gathering and analysis.
• Design and apply analytics techniques to address current and future business needs.
• Demonstrate a robust understanding of data structures and fields required for effective analysis.
• Map analytical frameworks to available data sources to ensure alignment with business objectives.
• Collect, clean, and organize data from multiple sources to ensure accuracy and reliability.
• Conduct statistical analysis and create visualizations to present findings in a clear, actionable manner
• Support ongoing monitoring of business performance through regular reporting and ad-hoc analysis.
• Develop test strategies and systematic procedures to validate solution performance and accuracy.
• Select and apply algorithms and advanced computational methods to enable systems to learn, adapt, and deliver desired outcomes.
• Approach problems with creativity and develop innovative, data-driven solutions.
• Challenge existing processes to drive continuous improvement and operational efficiency.
• Maintain a strong focus on goal achievement and follow through on initiatives.
• Understand the broader business context and how data-driven decisions impact overall outcomes.
  

• Approach existing problems with fresh perspectives and develop innovative solutions.
• Challenge the status quo to drive continuous improvement and positive organizational impact.
• Demonstrate strong ownership and follow-through to achieve goals and objectives.
• Recognize complex interrelationships among business activities and understand the broader business impact of decisions.
• Maintain awareness of how individual contributions align with the larger vision of the Bank.
  

• Graduation: B.Sc (Bachelor of Science) or B.Tech (Bachelor of Technology) or BCA (Bachelor of Computer Applications)
• Post-Graduation: M.Sc (Master of Science), M.Tech (Master of Technology) or MCA (Master of Computer Applications) or MA Economics/Stats
  

Experience

• 2+ years of relevant experience in data analysis, algorithm development, and computational modeling.
• Exposure to business analytics and working with cross-functional teams.
  

• Proficiency in analytical tools and techniques.
• Strong understanding of data structures and analytical frameworks.
• Ability to think innovatively and challenge conventional approaches.
• Strong drive to complete tasks and deliver results.
• Strategic mindset with an understanding of the broader business context.
• Ability to contribute meaningfully to the organization’s vision and goals.
  

• Effective use of analytical tools.
• Quality and impact of business cases and data analyses delivered.