Lead Data Analyst

About the role

The Lead Data Analyst delivers deep analytical insights to support customer lifetime management and uncover hidden drivers of customer behaviour. The role focuses on understanding customers across prospecting, acquisition, engagement, cross‑sell, up‑sell and retention, using hypothesis‑driven analysis and data‑driven approaches.

Key responsibilities

• Analyse and identify key drivers across each stage of the customer lifecycle.
• Perform customer segmentation to enable targeted strategies.
• Conduct structured deep‑dive analyses and interpret trends in customer behaviour.
• Isolate root causes by triangulating multiple data sources and applying statistical methods.
• Design, build and enhance visual analytics assets and dashboards for business users.
• Provide mentorship and guidance to other data analysts on analytical approaches.
• Ensure analytics projects comply with internal and external policies, guidelines and regulations.
• Manage business and regulatory compliance risks and share best risk‑management practices.

Required profile

• Master’s or Bachelor’s degree in Business Analytics, Statistics, Economics, Data Science, Computer Science, Mathematics or a related field.
• Minimum 7 years of experience in business intelligence and analytics projects as an individual contributor.
• Minimum 7 years of experience with data‑visualisation tools such as Tableau, PowerBI or QlikView.
• Minimum 7 years of experience in SQL and Python programming.
• Ability to analyse, visualise and describe key trends within large datasets.
• Preferred experience with big‑data ecosystems (Spark, Hadoop) and knowledge of banking, insurance or financial services.
• Strong curiosity and passion for understanding the “why” behind data.

Required skills

• Python
• SQL
• Tableau
• PowerBI
• QlikView
• Spark
• Hadoop