Payments Analyst, loveholidays

• Bachelor's degree in Finance, Accounting, Economics, or a related field
• Advanced knowledge of data analysis tools (e.g., SQL, Python, R)
• Strong analytical and problem-solving skills
• Proficient in financial modelling, budgeting and forecasting
• Experience working with large and complex data sets
• Excellent communication and interpersonal skills
• Ability to translate technical findings into clear and actionable recommendations

Desirable

• The Payments Operations Analyst at loveholidays is a newly established role within the Finance division
• You will report to the Director of Payments and you will have the opportunity to influence the future of our payments operations by providing data driven insights and recommendations. This applies to both customer (pay-in) as well as supplier payments (pay-out)
• Due to the cross-functional nature of Payments, you will work very closely with the dedicated Product and Engineering functions responsible for Payments, as well as a multitude of internal and external stakeholders
• As our Payments Analyst, you will be responsible for analysing large and complex payment data sets from various sources to identify trends, patterns, and opportunities for optimisation
• You will leverage your analytical skills, as well as your knowledge of the payments industry key drivers, to provide valuable insights and recommendations that drive KPI improvements and support strategic decision-making
• Whether this is analysing what is driving the movement of the key fee components, or forecasting fees based on the implementation of new initiatives, your input will help the team achieve better visibility of the impact of the various initiatives as well as forecast more accurately
• Gather, clean, and analyse large and complex payment data sets from diverse sources.
• Identify trends, patterns, and anomalies within the data to uncover insights
• Utilise advanced data analysis techniques (e.g., statistical modelling, machine learning) to extract meaningful information
• Develop comprehensive reports, dashboards and visualisations to communicate findings to stakeholders
• Provide detailed analysis including creation of financial models to support strategic and operational decision making
• Provide actionable recommendations based on data-driven insights to improve payment processes, reduce costs and increase revenue
• Identify opportunities for process automation, fraud prevention, and risk mitigation

• The interview journey:
• TA screening - 30 mins
• 1st stage with Hiring Manager - 45 mins
• 2nd stage with key stakeholder/s including a task to present, in office - 1 hour
• Final stage with VP Commercial Finance - 30 mins

• Discounted holidays for you, your family and friends
• 25 days of annual leave + bank holidays
• Company pension contributions at 5%
• Individual training budget for courses, seminars and memberships to professional bodies
• High degree of autonomy in a strong collaborative environment
• Cycle to work scheme, season ticket loan and eye care vouchers
• Hybrid working with 3 days working in our office (London) and 2 days WFH per week
• Sustainably sourced fruit baskets in the office kitchen
• Increased annual leave for long service
• Ability to buy and sell annual leave
• Enhanced maternity pay = 6 weeks of full pay and 20 weeks at 50% pay
• Enhanced paternity pay = 4 weeks of full pay

Total funding: $6.6m

Travel, both domestic and overseas, has been a huge part of the British economy since the late 20th century. In 2019, UK residents spent £43 billion on foreign holidays - almost double the amount spent a decade before.