Revenue Operations Analyst in Slough

Revenue Operations Analyst in Slough

Slough Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Ultralytics

At a Glance

  • Tasks: Own and optimise revenue data, build reporting systems, and automate workflows for our GTM teams.
  • Company: Fast-scaling tech company with a focus on innovative revenue operations.
  • Benefits: Competitive salary, equity, hybrid work model, and opportunities for rapid career progression.
  • Other info: Join a freshly funded company with significant growth potential and direct exposure to leadership.
  • Why this job: Make a real impact by building the systems that drive revenue decisions and visibility.
  • Qualifications: Analytical mindset, detail-oriented, and comfortable with various tools and automation.

The predicted salary is between 50000 - 70000 £ per year.

We hire a Revenue Operations Associate who owns the data, builds systems that actually work, and learns how a GTM engine runs from the inside. You'll own the operational backbone that our GTM teams rely on - the data, the reporting, the workflows, and the attribution. Right now, too much is opaque: which channels are working, where deals stall, what's actually driving revenue. Your job is to change that. This isn't a 'run this report on Monday' role. It's a role for someone who wants to build radical visibility into a revenue engine and use it to make the whole machine faster.

WHAT YOU'LL DO

  • Own the revenue data model. Keep the data clean, the pipeline trustworthy, and the workflows running across our GTM stack. When something's wrong, you find it and fix it.
  • Build the reporting layer. Dashboards, attribution models, campaign performance tracking - you build what the team relies on to make decisions. Success is measured by whether the numbers are accurate, visible, and used.
  • Make it clear what's working. Build the attribution and analytics layer that tells us which channels, campaigns, and motions are driving revenue - and which aren't. The goal is confident decisions, not best guesses.
  • Automate the manual stuff. Spot where people are doing by hand what a workflow should do automatically. Build the fix.
  • Keep up with a fast-moving GTM team. Every new campaign, every new initiative - make sure measurement is built in from day one, not retrofitted later.
  • Document everything. Turn what you learn into repeatable processes so the team moves faster and nothing breaks when someone's on holiday.

WHAT SUCCESS LOOKS LIKE

  • 3 months: The GTM team has a single source of truth for revenue data for the first time. Every channel, every campaign, every stage of the funnel - visible, trustworthy, and in one place. The team trusts the numbers.
  • 6 months: We know what's working. Attribution is clear enough to make real investment decisions - double down on the channels and motions driving pipeline, cut what isn't. No more guessing.
  • 9 months: The revenue data model is running itself. Reporting is live, workflows are automated, and the GTM team is making faster decisions because the data is no longer a question mark.
  • 12 months: Promotion ready - the business has a level of visibility into its revenue engine that most companies twice our size don't have, and you built it.

WHAT YOU BRING

  • Analytically sharp. You're comfortable with messy data and can turn it into something clear and useful. You notice when numbers don't add up.
  • Detail-oriented. Things that are slightly wrong bother you. You fix them without being asked.
  • Systems thinker. You think in workflows and automations, not one-off tasks. You'd rather build the process than do the thing manually twice.
  • Comfortable with tools. You pick up new software quickly and aren't precious about which ones you use. CRMs, BI tools, automation platforms - you figure them out and make them work.
  • Operate with ownership. You don't wait for someone to tell you what to do next. You figure it out, take responsibility, and follow through.
  • Technical enough. You don't need to code, but you need to be comfortable with tools and confident enough to figure out ones you haven't used before.

WHY THIS ROLE

  • Real infrastructure work. You're not making decks or maintaining someone else's dashboards. You're building the systems the GTM team depends on.
  • Real exposure. Work directly alongside GTM and revenue leaders. See how a fast-scaling company makes commercial decisions - and help build the data infrastructure those decisions run on.
  • Fast progression. Strong performers move into senior RevOps or GTM Engineering roles. We promote from within.
  • Product-market fit. YOLO is the most widely used computer vision model in the world. The commercial opportunity is enormous - and you'll be building the infrastructure that turns it into revenue.
  • Freshly funded. We closed a $30M Series A. We're investing in exactly the kind of infrastructure you'll be building.

WHAT THIS ISN'T

This isn't a reporting role. If you want to pull the same dashboard every week and send it upstream, this isn't it. If you want a defined scope and explicit instructions every day, this isn't it. This is for people who want to understand how a revenue engine works, build one from the inside, and become genuinely excellent at operational work.

COMPENSATION & LOCATION

Competitive base salary + equity. Full-time, London office (hybrid). Reports to GTM Engineering Lead.

Revenue Operations Analyst in Slough employer: Ultralytics

At our company, we pride ourselves on fostering a dynamic and innovative work culture that empowers employees to take ownership of their roles. As a Revenue Operations Analyst, you'll have the unique opportunity to build critical systems that drive visibility and efficiency within our go-to-market teams, all while working in a collaborative environment in London. With a focus on professional growth and a commitment to promoting from within, we offer a rewarding career path for those eager to make a significant impact in a fast-scaling organisation.

Ultralytics

Contact Details:

Ultralytics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Revenue Operations Analyst in Slough

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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 Ultralytics!

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.

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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 Revenue Operations Analyst in Slough

Data Management
Reporting Skills
Attribution Modelling
Campaign Performance Tracking
Automation Skills
Analytical Skills
Attention to Detail

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 Ultralytics, 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 Ultralytics

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 Ultralytics’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.