Data Analytics Manager - Everyday Banking

We are seeking an experienced and strategic Analytics Manager to lead the Everyday Banking domain (Payments, Cards, and Core Account Lifecycle) , one of our cross-functional areas shaping the development of one of the world's leading FinTech products. About the opportunity As an Analytics Manager, you will own the analytics strategy and execution for our Product Business Segments within the respective domain. You are responsible for ensuring data is at the core of decision-making, fostering a strong data culture, and enabling teams to deliver measurable business impact. You will work in a cross-functional setup, leading a team of ~4 data analysts while partnering closely with engineers, designers, product managers, and senior business stakeholders. This is a hands-on leadership role , where you are expected to split your time between: ~50% individual contribution , focusing on the most complex and high-impact analytical problems ~50% team leadership and management , ensuring your team delivers high-quality work and continues to grow In this role, you will: Help us set the right goals: Define and align domain-level KPIs and OKRs, ensuring teams are focused on the highest-impact opportunities. Establish frameworks that connect product initiatives to measurable business outcomes. Inform product roadmap: Drive the analytics roadmap for your domain, proactively identifying strategic opportunities, risks, and trends. Ensure insights consistently shape product and business strategy across multiple teams. Be a strategic partner: Act as a trusted advisor to senior stakeholders, influencing decision-making through high-level insights and clear recommendations. Translate complex data into business strategy. Handle stakeholders: Own relationships with senior stakeholders across Product, Marketing, Tech and Leadership. Align cross-functional priorities and ensure analytics work is tightly integrated with broader business goals. Evaluate initiatives: Oversee experimentation and measurement strategy across teams. Ensure robust test design, execution, and interpretation, maintaining a high bar for analytical rigor and business relevance. Contribute to self-serve data platform: Drive the development of scalable analytics foundations in partnership with engineering. Ensure teams have access to reliable data, tools, and frameworks to independently generate insights. Provide monitoring tools: Ensure the team delivers high-quality dashboards and monitoring systems that track performance against company OKRs. Define standards for clarity, usability, and impact. Improve data literacy of organisation: Scale data literacy across the organization by enabling teams to better understand and use data. Establish training programs, frameworks, and best practices that empower self-serve analytics. Be part of our data-community: Lead collaboration across analytics teams, contributing to shared standards, tooling, and strategic initiatives. Act as a thought leader within the broader data organization. Support some of the following product business team initiatives (not limited to): Guide teams in discovering new product opportunities, identifying user friction points, and prioritizing high-impact initiatives Ensure continuous product releases are evaluated against business goals using robust analytical methods Partner with UX research to combine qualitative and quantitative insights for stronger decision-making Ensure data tracking and instrumentation are properly designed to enable future analysis and measurement Personally lead the most complex and ambiguous analyses within the domain, setting the standard for quality and impact What you need to be successful: Background: 5+ years of experience as an individual contributor in analytics or a related field 1+ year of experience managing people, leading a team of 3–4 data analysts Proven track record of driving business impact through data Skills: Causal inference impact me ... (truncated, view full listing at source)