CDD Data Analyst

Overview

Associate-level Data & Analytics Analyst role in a cutting-edge Data & Analytics team, consulting with stakeholders to identify data and analytics solutions to business challenges and bringing advanced analytics to life through visualisation.

What you'll do

• Use advanced analytics to develop business solutions that increase understanding of the business, including its customers, processes, channels and products.
• Work closely with business stakeholders to define detailed business questions, problems or opportunities that can be supported through advanced analytics.
• Design new and existing processes to be efficient, simple and automated where possible.
• Work in an Agile way within multi-disciplinary data and analytics teams, co-ordinating resources from across the team and the business to achieve agreed 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 expertise and solutions that bring commercial and customer value to business challenges.
• Communicate data and analytics opportunities in a way business stakeholders can understand and engage with, supporting them to select the best approach for business needs.
• Support data science and model development activities, including data exploration, feature engineering, model testing and performance analysis.
• Share relevant updates with key stakeholders, bringing together advanced analytics, data science and data engineering work in an easily understandable way that links back to business needs.

What you'll need

• Passion for data and analytics.
• Knowledge of data architecture, key tooling and relevant coding languages.
• Proficiency in advanced analytics.
• Ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling.
• Good financial services knowledge.
• Ability to identify wider business impact, risk and opportunities, making connections across key outputs and processes.
• Strong knowledge of data management principles.
• Experience of translating data and insights for key stakeholders.
• Experience in using tools such as SQL, Snowflake, Python and QuickSight.
• Knowledge of data engineering, data science and decisioning disciplines.
• Strong communication skills with the ability to engage with a wide range of stakeholders.

Details

• Location: Gurugram.
• Hours: 45 per week.
• Job posting closing date: 14/11/2026.