At a Glance
- Tasks: Drive operational improvement through end-to-end analytical ownership and data-driven decision-making.
- Company: Join a leading global payments company with a dynamic and inclusive culture.
- Benefits: Competitive salary, global career opportunities, and a collaborative work environment.
- Other info: Be part of a diverse team that values curiosity and innovation.
- Why this job: Make a real impact on transformation initiatives while working with cutting-edge analytics.
- Qualifications: Strong experience in SQL, Python or R, and delivering insights for senior stakeholders.
The predicted salary is between 56700 - 69300 £ per year.
Ready to take your career global? Make your mark at one of the biggest names in payments. The Senior BI Analyst plays a pivotal role in driving operational improvement and transformation across Worldpay. Working closely with teams across Operations, Strategy, Transformation, Product and the CDO function, this role owns analytical initiatives end‑to‑end: from problem definition through to insight delivery and decision support. This role blends advanced technical capability with strong stakeholder leadership, supporting data‑driven decision‑making, business case development, and benefits tracking for major operational and AI‑enabled transformation initiatives. The Senior BI Analyst is trusted to operate independently, delivering impact with minimal day‑to‑day direction.
What you’ll own:
- End‑to‑end analytical ownership
- Own analytical initiatives from initial problem framing through to delivery of insight, dashboards and recommendations
- Translate ambiguous or poorly‑defined operational challenges into clear analytical approaches and outputs that deliver business impact
- Ensure analysis is tightly aligned to decision‑making, operational improvement and measurable business impact
- Manage priorities across multiple workstreams with minimal supervision, escalating risks and dependencies appropriately
Operational insight & improvement:
- Partner deeply with Operations teams to understand processes, constraints and performance drivers
- Use data to identify inefficiencies, performance gaps and improvement opportunities across operational workflows
- Design metrics, dashboards and analytical views that support operational performance management and continuous improvement
- Support tracking of outcomes and benefits realisation for operational, AI and transformation initiatives
Stakeholder engagement & influence:
- Act as a trusted analytical partner to stakeholders across operational, tactical and executive levels
- Communicate complex analysis clearly through data storytelling, visuals and structured narratives
- Influence decision‑making by synthesising insight into clear options, trade‑offs and recommendations
- Work effectively with senior stakeholders while maintaining hands‑on analytical ownership
Advanced analytics & technical delivery:
- Deliver complex analysis using SQL and advanced analytical tools such as Python or R
- Design, build and maintain robust analytical datasets and coherent data models suitable for reporting and advanced analysis
- Build high-quality dashboards and visualisations that support both operational and executive needs, with a focus on supporting the transition from Power BI to Tableau
- Work effectively within cloud‑based data platforms and across multiple enterprise data sources
Team contribution & mentoring:
- Act as a subject matter expert within assigned domains or initiatives
- Coach and mentor BI Analysts through feedback, guidance and example
- Collaborate with data, analytics and technology teams to improve standards, reuse and data quality
- Continuously improve analytical approaches, tools and ways of working
What you’ll bring:
- Strong experience delivering complex, end‑to‑end analysis using SQL, Python or R
- Demonstrated experience using data and insight to drive operational improvements
- Experience designing and delivering dashboards and insights for senior stakeholders, ideally using Power BI and/or Tableau
- Strong data modelling skills and experience working with large‑scale enterprise datasets
- Proven ability to communicate complex analytical findings clearly and influence decision‑making
- Comfortable operating in ambiguous environments with minimal supervision
It's a bonus if you have:
- Experience supporting transformation or AI‑enabled initiatives, including benefits tracking or business case support
- Experience working with cloud‑based data platforms (e.g. Snowflake)
- Background in enterprise‑scale operations or continuous improvement
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.
Senior Business Intelligence Analyst in London employer: Worldpay
Join a leading global payments company that champions innovation and collaboration, offering a dynamic work culture where your contributions directly impact the future of AI and automation. With a strong focus on employee growth, you will have access to unparalleled learning opportunities and the chance to lead a diverse team in a role that spans across multiple geographies. Experience a workplace that values curiosity, empowers decision-making, and fosters a sense of ownership, making it an exceptional environment for ambitious professionals looking to make their mark.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Intelligence Analyst in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Worldpay!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Business Intelligence Analyst in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Worldpay, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Worldpay
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Worldpay’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
