Description

You will act as a floater for the analytics team, owning high-priority projects across different business lines.

This role is on-site.

Responsibilities

• Investigate new fraud use cases and build performance dashboards for new business lines.
• Develop reports to track low-performing promotions and recommend actions.
• Build and maintain ETL pipelines for new product features while validating data accuracy.
• Collect, analyze, and visualize product data to monitor key performance metrics.
• Collaborate with product, engineering, and business partners to define requirements.

Required Skills

• 7+ years of experience in data science or analytics roles.
• Strong proficiency in writing complex SQL queries.
• Hands-on experience building ETL pipelines for product data.
• Ability to translate ambiguous business requirements into clear data requests.
• Experience applying hypothesis-driven problem-solving to technical issues.
• Strong communication skills to synthesize business insights from data.
• Proven track record of independently troubleshooting and unblocking technical challenges.

Preferred Skills

• Experience working in cross-functional, fast-paced environments.
• Background in fraud detection or risk analytics.

Key Skills

Education

Any Graduate