Senior Analytics Lead, Digital & Web

Role Overview

• Collaborate with digital product teams and business stakeholders to understand business strategies, needs, and challenges.
• Leverage data from multiple platforms and sources to develop actionable insights and recommendations that enhance digital experiences and drive measurable business outcomes.
• Lead the synthesis of industry trends and digital engagement data to identify opportunities for optimization and innovation.
• Serve as the analytics expert on cross-functional teams for strategic digital initiatives.
• Own and manage recurring analytical requests and reporting processes, ensuring high-quality, timely delivery.
• Partner with internal stakeholders to translate business requirements into analytical projects and lead them to completion.
• Analyze end-to-end digital engagements, including user journeys and customer segmentation, to identify friction points and recommend optimizations.
• Acquire, compile, and verify the quality of structured and unstructured data from various digital platforms.
• Develop, maintain, and deliver dashboards, visualizations, and presentations that translate complex data into compelling, actionable stories for stakeholders, including senior management.
• Design, execute, and analyze digital experiments (e.g., A/B, multivariate tests) to validate hypotheses, optimize digital experiences, and drive measurable business results.
• Advocate for change by effectively communicating insights and recommendations, using creativity in data visualization and storytelling.
• Stay updated with industry trends and emerging technologies related to data analytics, digital experience, and financial services.

Requirements

• Minimum of eight years of relevant work experience in digital and web analytics
• Undergraduate degree or equivalent combination of training and experience
• In-depth knowledge of web analytics, with specific experience in Adobe Analytics
• Strong technical skills including proficiency in SQL and Tableau; experience in Python, AWS and Redshift preferred
• Experience in experimentation design, execution, and analysis, with a track record of driving change and delivering results through data-driven testing
• Demonstrated ability to bring together data from multiple platforms and perform user journey analysis, customer segmentation, and advanced analytics
• Excellent communication and storytelling skills, with the ability to advocate for change and influence stakeholders through data-driven insights
• Ability to work independently, manage multiple priorities, and own internal stakeholder relationships
• Financial services experience is a plus.

Tech Stack

• Amazon Redshift
• AWS
• Python
• SQL
• Tableau

Benefits

• Flexible working model
• Professional development opportunities