CDD Data Analyst, Associate Vice President

Overview

Associate Vice President-level Data & Analytics role within the CDD team, driving advanced analytics to support business solutions, model monitoring, risk analytics and CDD decision-making.

What you'll do

• Drive the use of advanced analytics in your team 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, often complex and ambiguous business problems or opportunities that can be supported through advanced analytics, ensuring new and existing processes are designed to be efficient, simple and automated where possible.
• Undertake complex data analysis across large datasets to support model monitoring, risk analytics and CDD decision-making.
• Partner with pKYC and wider CDD stakeholders to understand analytical requirements, translate complex analysis into clear insights, and identify model optimisation opportunities.
• Contribute to data science and model development activities, including exploratory analysis, feature engineering, model testing, performance assessment and optimisation.
• Plan and deliver data and analytics resource, expertise and solutions that bring commercial and customer value to business challenges.
• Communicate data and analytics opportunities and bring them to life in a way business stakeholders can understand and engage with.
• Adopt and embed new tools, technologies and methodologies to carry out advanced analytics.
• Develop strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to business needs.

What you'll need

• Passion for data and analytics.
• Knowledge of data architecture, key tooling and relevant coding languages.
• Ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling.
• Strong knowledge of data management practices and principles.
• Experience of translating data and insights for key stakeholders.
• Experience of using tools such as SQL, Snowflake, Python and QuickSight.
• Good knowledge of data engineering, data science and decisioning disciplines.
• Strong communication skills with the ability to engage with a wide range of stakeholders.
• Coaching and leadership experience with an ability to support and motivate colleagues.

Details

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