lead data analyst

Job Requirements

About the Role

The Lead Data Analyst is responsible for driving analytical excellence across customer experience and servicing functions. This role involves leading a team to identify impactful business use cases, develop automated dashboards, and deliver actionable insights. The analyst will also manage data migration efforts, coordinate with visualization teams, and oversee project execution. A key focus is on fostering innovation, mentoring team members, and ensuring alignment with business goals.

Key Responsibilities

Primary Responsibilities

• Understand business problems and solve them using analytical techniques.
• Establish analytical frameworks tailored to different business challenges and drive measurable outcomes.
• Implement data analytics to generate actionable insights using statistical methods, predictive modelling, and data visualization.
• Assess the value of rural data to support business objectives and gain competitive advantage.
• Conduct quality assurance audits and implement follow-up actions to improve data accuracy and process reliability.
• Interpret data using modelling techniques to address business requirements such as credit scoring, customer segmentation, and product uptake.
• Partner with business, risk, and product teams to identify opportunities for data-driven decision making.
• Lead analysis of customer behavior, portfolio performance, revenue drivers, and risk exposure.
• Translate analytical findings into actionable insights for senior stakeholders.
• Guide and mentor junior analysts; review and validate their outputs.
• Identify skill gaps and recommend appropriate training and tooling to enhance team capabilities.
• Ensure data accuracy, consistency, and compliance with governance standards.
• Collaborate with data engineering teams to streamline pipelines and improve data quality.
• Automate recurring reports and establish best practices in analytics.
• Leverage tools like SQL, Python/PySpark /Tableau/AWS for advanced analysis and visualization.
• Support initiatives in credit risk, fraud detection, and campaign effectiveness.
  
  

• Research and drive adoption of new analytical techniques and tools.
• Independently design and execute campaign strategies based on analytical findings.
• Track model and dashboard performance to ensure alignment with business expectations.
  
  

• Recruit, lead, and mentor a team of motivated analysts.
• Provide ongoing feedback and create individual development plans for team members.
• Recognize and address current business needs with practical, strategic solutions.
• Identify root causes of issues and understand complex interdependencies across business activities.
• Offer authentic feedback and developmental guidance.
• Celebrate individual achievements and reinforce positive performance through various channels.
  
  

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

• 8+ years of relevant experience in data analytics, preferably in retail banking or customer experience domains.
  
  

• Expertise in Python, AWS, Spark, and Tableau.
• Strong analytical and problem-solving skills.
• Experience in data migration and lake house architecture.
• Proven leadership and team development capabilities.
• Excellent communication and stakeholder management skills.
• Strategic thinking with a focus on innovation and continuous improvement.