Payments Analyst

loveholidays; London; On-site; GBP 35,000 - 55,000; Full time

Job description

Why loveholidays?

At loveholidays, we’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert.

The smart way to get away.

About the team:

The Payments function is recognised as a strategic area for the business, with the capacity to significantly impact key metrics: conversion rates, cost reduction, compliance, customer satisfaction and retention.

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).

The impact you’ll have:

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.

Your day-to-day:

Data Analysis:

1. Gather, clean, and analyse large and complex payment data sets from diverse sources.
2. Identify trends, patterns, and anomalies within the data to uncover insights.
3. Utilise advanced data analysis techniques (e.g., statistical modelling, machine learning) to extract meaningful information.

Insight Generation:

1. Develop comprehensive reports, dashboards and visualisations to communicate findings to stakeholders.
2. Provide detailed analysis including creation of financial models to support strategic and operational decision making.
3. Provide actionable recommendations based on data-driven insights to improve payment processes, reduce costs and increase revenue.
4. Identify opportunities for process automation, fraud prevention, and risk mitigation.

Your skillset:

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

Not necessary but would be desirable to have:

1. Master's degree in Data Science, Statistics, or a related field.
2. Experience in Virtual card payments and rebate structures.
3. Knowledge of machine learning and statistical modelling techniques.
4. Experience with data visualisation tools (e.g., Looker, Power BI, Google Suite).

Perks of joining us:

1. Company pension contributions at 5%.
2. Individualised training budget for you to learn on the job and level yourself up.
3. Discounted holidays for you, your family and friends.
4. 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
5. Enhanced maternity/paternity leave.
6. Cycle to work scheme, season ticket loan and eye care vouchers.

The interview journey:

1. TA screening - 30 mins.
2. 1st stage with Hiring Manager - 45 mins.
3. 2nd stage with key stakeholder/s including a task to present, in office - 1 hour.
4. Final stage with VP Commercial Finance - 30 mins.

At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.