At a Glance
- Tasks: Transform data into actionable insights and drive performance improvements in global payments.
- Company: Join a leading global payments company with a collaborative and innovative culture.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Be part of a diverse team that values curiosity and innovation.
- Why this job: Make a real impact in the fast-paced world of global commerce.
- Qualifications: Bachelor’s degree and 2+ years in data analysis or business solutions.
The predicted salary is between 40000 - 50000 £ per year.
Ready to take your career global? Make your mark at one of the biggest names in payments. We’re looking for a Data Analyst/Business Solution Consultant to join our data engineering team and help shape the future of global commerce.
What you’ll own
- Primary Focus
- You will translate insights through data-driven storytelling into actionable items, across internal and external stakeholders to improve authorisation, authentication and routing approval rates.
- You will conduct high-level review of data requirements, data analysis and data visualisation to support internal stakeholders with performance monitoring and generate insights across issuers & schemes.
- Data-Driven Insights & Storytelling
- Translate complex data into compelling, actionable insights using clear data storytelling techniques across internal and external stakeholders.
- Conduct high-level data analysis and visualisation to monitor performance against benchmarks.
- Identify trends across issuers, schemes, platforms, and merchant configurations to drive issuer outreach strategies.
- Optimization & Performance Improvement
- Drive improvements in authorisation, authentication, and routing efficiency through data-led recommendations.
- Convert analytical findings into practical, scalable solutions that deliver measurable uplifts (e.g. approval rates, revenue protection, cost reduction).
- Identify recurring issues and ensure systemic resolution to improve long-term performance whilst partnering with Issuers.
- Intake, Prioritization & Delivery
- Support the intake of new optimisation opportunities, including requirement gathering and prioritization.
- Allocate and coordinate work within the team to ensure efficient execution.
- Manage and track a pipeline of initiatives, documenting progress, recommendations, and outcomes.
- Stakeholder Collaboration & Issue Resolution
- Work cross-functionally with Operations, Product, Technology, Data, Schemes, and Issuers to implement solutions.
- You will act as a bridge between data insights and commercial outcomes by acting as a central point of coordination to triage and escalate recurring or complex issues.
- Communicate insights and recommendations effectively to both technical and non-technical stakeholders.
What you’ll bring
- Bachelor’s degree in business management or the equivalent combination of education, training, or work experience within Payments.
- 2+ years relevant experience with most of the requirements below.
- Broad knowledge of Worldpay products and related services; in-depth knowledge of products and services for which team(s) provide support.
- Basic knowledge of data analysis and visualisation skills i.e. Excel, Power BI, Tableau, Snowflake, SQL and IT technologies, i.e., operating systems, network devices, software development and architecture.
- Excellent verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors.
- Curiosity and excellent communication, problem-solving, time management and project management skills.
- Ability to work both independently and in a team environment.
- Deep understanding of the payments industry and authorisation pathways (e.g., gateways, platforms, acquirers, networks, issuers, etc.).
- Experience with Authorisation investigation & resolution, strong analytical skills to understand investigation approaches of team & get involved in most complex matters.
- Some flexibility of hours is required.
Bonus if you have
- Strong existing connections within the Worldpay business (e.g., Product, Commercial or Operational) & ability to drive new cross-business collaboration.
- Knowledge and experience with differing platforms (e.g., WPG, VAP, NAP) and merchant profiles.
About the team
Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections– it’s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We’re curious and innovative – always finding better ways to deliver impact. We empower each other to make decisions, and it’s our passion that drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
Data Analyst / Business Solution Consultant in London employer: Worldpay
Join a leading name in the payments industry where your role as a Data Analyst/Business Solution Consultant will not only enhance your career but also contribute to shaping the future of global commerce. With a vibrant work culture that fosters collaboration and innovation, you'll have access to dynamic growth opportunities and the chance to work alongside some of the best minds in the field. Embrace a workplace that values curiosity, empowers decision-making, and celebrates success as a unified team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst / Business Solution Consultant in London
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We think you need these skills to ace Data Analyst / Business Solution Consultant in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
