At a Glance
- Tasks: Design and optimise revenue operations while supporting sales and marketing teams.
- Company: Join Arqit, a leader in post-quantum cryptography with a supportive culture.
- Benefits: Hybrid work model, competitive salary, and a focus on employee well-being.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Make a real impact by automating processes and enhancing revenue strategies.
- Qualifications: Experience in RevOps or related fields, with a strong grasp of AI tools.
The predicted salary is between 51750 - 63250 £ per year.
Arqit is a global pioneer in post-quantum cryptography: we provide a proven defence against both current cyber dangers and impending quantum threats. Our 100-strong global team describe Arqit as succeeding in providing a positive, inclusive and high-performing working environment, where employees feel that managers care about the success and well-being of their teams, individuals feel valued as employees and teams achieve more than they thought possible, together.
We have a new opportunity for a Revenue Operations Analyst (RevOps Analyst), reporting to our Head of Revenue Operations and working closely with our sales, marketing, finance and legal teams and COO function. This is a hands-on, builder's role. You won't just maintain systems; you will design and optimise the engine that powers our revenue team. In this role, you'll handle day-to-day deal desk requests, maintain our CRM hygiene, and build targeted outbound lists. You will do all of this with an AI-first mindset - defaulting to automation, AI agents, and custom workflows to eliminate manual grind for both yourself and our GTM teams. Working on a hybrid basis, you will be based from our friendly and comfortable offices in Belfast city centre.
What you'll be doing
- Deal Desk & Commercial Support: Help sales reps structure, price, and package quotes efficiently to close deals faster.
- Pipeline Engine & Outbound: Build, enrich, and segment target account lists using firmographic, technographic, and intent data sources.
- Customer Success Handoffs: Bring the same rigour to renewals and expansion as new business - supporting health-score logic, renewal pipeline visibility, and clean handoffs from sales into onboarding and CS.
- CRM & Stack Administration: Maintain and continuously improve Salesforce and HubSpot (field architecture, validation rules, lead routing, and integrations).
- AI & Workflow Automation: Identify repetitive GTM tasks and automate or augment them using AI tools, APIs, and low-code platforms (e.g., automated enrichment, follow-up drafting, data cleansing).
- Data Hygiene & Reporting: Proactively monitor data health across our stack.
What we're looking for
- Hands-on experience in RevOps, Sales Ops, Marketing Ops, or Deal Desk—ideally within B2B SaaS or scale-ups.
- Genuinely AI-First: You use AI tools daily to accelerate your own work and naturally look to automate repeatable tasks rather than doing them manually.
- Salesforce Fluency: Direct experience configuring Salesforce (Flows, validation rules, custom objects, reporting). HubSpot experience is a strong plus.
- Commercial Mindset: You understand how pipeline, conversion rates, and pricing structures actually impact revenue—not just how to run a report.
- Data-Savvy: Comfortable working with granular data in Excel/Google Sheets and handling multi-source prospect lists.
Nice to Have (but not essential)
- Experience with low-code automation tools (e.g., n8n, Make, Zapier) or GTM enrichment platforms (e.g., Clay).
- Hands-on experience building or configuring AI agents for research, drafting, or data routing.
- Exposure to API webhooks and connecting GTM tools.
Please note: the ability to work in the UK without visa restrictions is essential.
RevOps Analyst employer: Arqit
Arqit is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Belfast. With a focus on employee growth, we offer opportunities for professional development and the chance to work on cutting-edge technology in cybersecurity. Our hybrid work model ensures flexibility, allowing you to balance your personal and professional life while contributing to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land RevOps Analyst
✨Get Involved in Data Science Meetups
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We think you need these skills to ace RevOps Analyst
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Arqit. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Arqit
✨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.
