Career Renew is recruiting for one of its clients a Head of Data and Analytics - this is a hybrid role in London UK. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto. We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers. We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth. Your team Our data and analytics function develop and implement data strategy to drive business growth, improve operational efficiency, and enhance decision-making across the organization. Your role in the Team's Success Lead our data and analytics function, developing and implementing data strategy to drive business growth, improve operational efficiency, and enhance decision-making across the organization. What you'll do Define and execute our data strategy, governance, and analytics roadmap Lead a team of data scientists, analysts, and engineers Oversee the development and maintenance of data infrastructure, pipelines, and tools Drive data-driven decision making across the organization Establish data governance policies and best practices Identify opportunities to leverage data for business growth and operational improvements Collaborate with product, marketing, and technology teams to implement analytics solutions Ensure compliance with data privacy regulations and security standards What you'll need for this role Key Qualification Requirements: 10+ years of experience in data and analytics with at least 5 years in leadership roles Strong background in data science, business intelligence, and analytics Experience building and scaling data teams and infrastructure Deep understanding of data modeling, warehousing, and visualization techniques Knowledge of machine learning and AI applications in financial services Strong technical skills with experience in modern data stack technologies Excellent communication skills with ability to translate complex data concepts for non-technical audiences Bachelor's degree in Computer Science, Statistics, or related field; advanced degree preferred Show more Show less