About the Opportunity

Join the Data & Analytics team as a CDD Data Analyst and contribute to a purpose-led role focused on advanced analytics and business solutions.

You will work with business stakeholders to understand their needs, identify suitable data and analytics solutions, and transform complex information into meaningful visual insights. This associate-level opportunity offers the chance to support business decisions through data analysis and collaboration.

This role is based in India, and all normal working days must be carried out in India.

What You'll Do

• Use advanced analytics to develop business solutions and improve understanding of customers, processes, channels and products.
• Work with business stakeholders to define data-related questions, problems and opportunities.
• Help design efficient, simple and automated business processes wherever possible.
• Work in an Agile way within multidisciplinary data and analytics teams.
• Coordinate resources across teams and the business to achieve project and scrum outcomes.
• Perform data analysis across large and complex datasets to support model monitoring, risk analytics and CDD decision-making.
• Deliver data and analytics solutions that create commercial and customer value.
• Communicate data opportunities and insights clearly to business stakeholders.
• Support data science and model development activities, including data exploration and feature engineering.
• Assist with model testing and performance analysis.
• Share relevant updates with stakeholders and connect analytics, data science and data engineering activities to business needs.

Required Skills & Experience

• Passion for data and analytics.
• Knowledge of data architecture and data management principles.
• Experience translating data and insights for key stakeholders.
• Experience using SQL.
• Experience using Snowflake.
• Experience using Python.
• Experience using QuickSight.
• Knowledge of data engineering, data science and decisioning disciplines.
• Proficiency in advanced analytics and data visualisation.
• Good financial services knowledge.
• Ability to identify wider business impact, risks and opportunities.
• Strong communication skills and ability to engage with a wide range of stakeholders.

Key Technologies

• SQL
• Snowflake
• Python
• Amazon QuickSight
• Advanced Analytics
• Data Visualisation
• Data Science
• Data Engineering
• Model Monitoring
• Feature Engineering

What Makes This Opportunity Interesting?

• Work with a cutting-edge Data & Analytics team.
• Contribute to business solutions through advanced analytics.
• Collaborate with multidisciplinary teams and business stakeholders.
• Gain exposure to data science, model development and risk analytics.
• Turn complex data into meaningful insights for business decisions.