At a Glance
- Tasks: Own the operational engine and turn project goals into reality with data-driven insights.
- Company: Join a fast-paced fintech company powering billions of transactions globally.
- Benefits: Flexible hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment focused on collaboration and continuous improvement.
- Why this job: Make a real impact by optimising sales processes and implementing innovative AI solutions.
- Qualifications: 2-3 years experience in Revenue Ops, Business Ops, or Project Management with CRM proficiency.
The predicted salary is between 63000 - 77000 £ per year.
Our global network powers billions of transactions every year, making money move without making a fuss. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.
Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. It’s a career-defining opportunity to build the future of fintech.
We are looking for a high-energy, detail-oriented Revenue Operations Specialist to join our Central RevOps team. This isn’t a "maintenance" role—it’s an opportunity for someone with 2–3 years of experience to own the operational engine, turn project goals into reality, and use data to drive immediate action.
You’ll audit the end-to-end buyer journey to design and implement lean, scalable workflows that allow our sales teams to spend less time on admin and more time winning deals.
- GTM Stack Architecture: Act as the architect for our GTM tools (e.g., Salesforce, Apollo, Clari). You will ensure these systems are integrated seamlessly, creating a friction-free environment where data flows smoothly across the entire revenue lifecycle.
- Actionable Project Insights: Rather than high-level analytics, you will focus on "Operational Intelligence." You’ll collaborate with our Data & Analytics team to extract specific insights that drive immediate project decisions—identifying gaps in the sales process and proposing the "fix" before the problem scales.
- Data Integrity & Flow: You are the primary defender of our data flow. Rather than just cleaning data, you will build the guardrails and governance rules that prevent friction, ensuring our lead routing and attribution are working perfectly.
- AI Implementation: Assist in the rollout of AI-powered workflows. You’ll help test and deploy AI prompts and automations that reduce rep admin time and improve prospecting efficiency.
We are open to your background—whether you come from Revenue Ops, Business Ops, Finance, or a technical Project Management role, you are someone who loves building systems that work.
- CRM Mindset: You are proficient in CRM logic (Salesforce or similar) and have a "systems-thinking" approach. You understand how they connect to drive business outcomes.
- Automation Enthusiast: You hate manual, repetitive tasks.
- Action-Oriented Analyst: You are an Excel/Google Sheets wizard who uses data to find the "why" behind a process bottleneck (SQL is a plus). You don’t just present data;
- Project Owner: You have a "get it done" attitude. You can take a vague operational request and turn it into a functional project plan with clear deadlines.
Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Operations specialist, specialist sales in London employer: Checkout.com
Checkout.com is an exceptional employer that champions a flexible hybrid working model, allowing employees to balance their professional and personal lives effectively. With a strong emphasis on growth and collaboration, the company provides ample opportunities for career development while working alongside talented teams in the dynamic financial services sector in London. Joining Checkout.com means being part of a forward-thinking organisation that values compliance and innovation in payments and product regulation.
StudySmarter Expert Advice🤫
We think this is how you could land Operations specialist, specialist sales in London
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✨Join Local Business Intelligence Meetups
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✨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
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We think you need these skills to ace Operations specialist, specialist sales 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 Checkout.com, 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 Checkout.com
✨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 Checkout.com’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.