Senior Data Analyst-Retail Assets

Overview

About the Role

As a Senior Data Analyst in the New Age Data & Analytics team at IDFC FIRST Bank, you will play a strategic role in driving data-led decision-making across the retail portfolio. This techno-functional role requires a deep understanding of business dynamics, strong analytical capabilities, and the ability to lead and mentor a team of data analysts. You will work closely with stakeholders to design and implement advanced analytical solutions that deliver measurable business outcomes.

Key Responsibilities

Primary Responsibilities

• Lead complex analyses on customer, product, and portfolio data to generate actionable insights.
• 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.
• Mentor junior analysts, providing guidance on tools, techniques, and business context.
  
  

Secondary Responsibilities

• Support cross-functional initiatives and contribute to strategic data projects.
• Promote a culture of analytical excellence and continuous learning within the team.
  
  

What We Are Looking For

Education

• Bachelor’s Degreein:
• Science (B.Sc)
• Technology (B.Tech)
• Computer Applications (BCA)
• Postgraduate Degreein:
• Science (M.Sc)
• Technology (M.Tech)
• Computer Applications (MCA)
  
  

• 4 to 8 years of relevant experience in data analytics, preferably within banking, fintech, or consumer technology domains.
  
  

Skills and Attributes

• Strong analytical and problem-solving skills with hands-on experience in model development.
• Proficiency in analytical tools and programming languages (e.g., SQL, Python, R).
• Ability to translate business requirements into actionable data solutions.
• Experience in mentoring and managing teams.
• Excellent communication and stakeholder management skills.
• Familiarity with model governance frameworks and performance tracking.
• A proactive mindset with a passion for innovation and continuous improvement.
  
  

Key Success Metrics

• Development of robust analytical solutions and models.
• Timely delivery of data projects.
• Effective collaboration with key stakeholders.
• Successful coaching and development of team members.