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Select how often (in days) to receive an alert:WS) is a leading payments platform with an extensive track record of serving merchants and consumers in the global entertainment sectors. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions. With over 29 years of online payment experience, an annualized transactional volume of $152 billion in 2024, and approximately 3,000 employees located in 12+ countries, Paysafe connects businesses and consumers across 260 payment types in over 48 currencies around the world. Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments. As the

Director, Sales Analytics

at Paysafe, you will lead a team of Data analysts and data scientists focused on enabling data-driven decisions across our Sales and Relationship Management teams. We follow a hybrid working model, spending an average of

three days per week

at our office location.The office is located in Gresham Street next to St Paul’s cathedral with easy access and transport links via St Paul’s, Bank, Cannon Street, City Thameslink, Liverpool Street, Farringdon, Mansion House.Develop AI-powered GTM strategies to boost the number of quality leads, conversion rate and scalability, specifically for SMB merchantsDesign and lead go-to-market (GTM) analytics strategies that optimize sales funnel conversion rates for SMB merchantsBuild and maintain dashboards that provide clear visibility into sales performance, pipeline metrics, and funnel conversionCollaborate with Sales and Relationship Management teams to create data-driven playbooks that enhance engagement and drive revenue outcomesEnsure data integrity and consistent definitions across reporting platforms to enable trusted decision-making at all levels of the organizationLead, mentor, and inspire a high-performing team of data scientists and data analysts10+ years of experience in sales analytics, GTM strategy, or related fields, with a strong focus on supporting SMB-focused sales teams- Proven expertise in building and deploying predictive models and dashboards using tools like SQL, Python/R, Power BI- Deep understanding of sales and customer lifecycle metrics, including acquisition, engagement, retention, and churn analysis- Track record of influencing senior stakeholders and driving change through data insights and strategic recommendations- Experience leading a high-performing team, with excellent project management and cross-functional collaboration skills- Experience with global payment systems, e-commerce platforms, and financial technologies preferred

Make your day work for you with our flexible working hours.You decide what your holiday looks like with the option to buy or sell your holiday and carry over up to 5 days into the next year.Enjoy social events on our roof top terrace with views onto St Pauls Cathedral.Our fully equipped facilities include showers, hairdryers and straighteners and fresh towels.Start your day with a free breakfast, fresh fruit and snacks.Spend time with those important to you with our enhanced paid family policies.Enjoy our discounts on memberships via vitality including, gyms, leisure centres, yoga/Pilates across the country.Join our six employee-led equality communities and help foster a workplace that celebrates diversity and create opportunities to collaborate and learn.Give back to the community with four paid charity days.Kickstart your weekend early with our summer hours during the months of June, July and August with a 3pm finish every Friday.Private health insurance (pre-existing conditions are included) and dental insurance, income protection, life assurance and more.We value diversity and are committed to providing a work environment of mutual respect to everyone without regard to race, color, religion, national origin, age, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.#