At a Glance
- Tasks: Dive into data analysis, support commercial decisions, and help automate processes with AI.
- Company: Join OAG, a leader in transforming global travel with innovative intelligence solutions.
- Benefits: Enjoy flexible working, competitive pay, health insurance, and a generous holiday allowance.
- Other info: Be part of a dynamic team that values curiosity and innovation in a supportive environment.
- Why this job: Make a real impact in the travel industry while developing your analytical skills.
- Qualifications: Analytical background with experience in commercial analytics and a passion for AI tools.
The predicted salary is between 40000 - 44000 £ per year.
ABOUT THE COMPANY
OAG is the essential intelligence partner transforming global travel.
For nearly a century we've been the foundation the travel industry builds on: trusted, proven, essential.
Today, we're going beyond.
ABOUT THE COMPANY
OAG is the essential intelligence partner transforming global travel.
For nearly a century we've been the foundation the travel industry builds on: trusted, proven, essential.
Today, we're going beyond.
We combine unmatched data quality, quantity and access with breakthrough technology and deep industry expertise to deliver what the industry truly needs: not just more data, but better answers.
From real-time operational intelligence to strategic decision‑making, we power the entire travel ecosystem, from airlines and airports to technology companies and financial institutions.
And we're embedding AI throughout our intelligence layer, pairing decades of proprietary data with the latest technology to deliver answers that weren't possible before.
Travel moves the world, and we move travel. For more information visit www. oag. com
ABOUT THE ROLE
The Commercial Analyst sits within OAG’s Strategic Analysis and Commercial Data Integrity function, reporting to the Senior Manager, Strategic Analysis.
This is a hands‑on individual contributor role for someone who genuinely enjoys the craft: building the models, running the numbers, querying the data and telling the story that comes out the other side.
Working at the intersection of Commercial and FP&A, you will support the analysis behind some of the most important commercial decisions OAG makes, from commissions execution and territory planning to white space identification and conversion analysis.
The function is also being rebuilt to be AI‑first from the ground up, and you will play an active part in that build, helping reimagine how analytical work gets done: faster, automated where possible and AI‑enabled wherever it adds value.
WHAT YOU’LL BE DOING
- Support the analytical work behind commissions execution: the calculations, validation and reconciliation that keep commissions reliable cycle after cycle.
- Contribute to territory planning and white space analysis, helping quantify the opportunity in each region and identify under‑penetrated accounts and segments.
- Run conversion analysis across the funnel: lead to opportunity, opportunity to close, sales cycle dynamics and the drivers behind each transition.
- Produce account, segment and regional analysis that supports pricing decisions, packaging design and commercial strategy.
- Ensure Commercial and FP&A read from the same numbers, aligning definitions, source data and calculations for core metrics such as pipeline, bookings, ACV, conversion rate and win rate.
- Support FP&A colleagues on commission modelling, capacity planning and commercial scenario analysis.
- Help reimagine recurring analytical processes, identifying what can be automated, what can be AI‑enabled and what should be redesigned entirely.
- Build the tooling, dashboards and workflows that make analysis faster and more reliable across Salesforce data, revenue data and Snowflake transaction data.
- Contribute to the analytical models behind Ex Co and board conversations, and help shape standards and ways of working as the function grows.
WHAT WE’RE LOOKING FOR
- A solid analytical background, with experience in commercial analytics, revenue analytics or sales operations analysis, ideally gained in a B2B Saa S, data or intelligence‑platform environment.
- Genuine curiosity and capability with AI tooling for analysts: comfortable using LLMs for query generation, narrative drafting and analytical exploration, and willing to push the boundary of what AI can do in an analyst workflow.
- Practical, hands on fluency with the modern data stack: SQL and Salesforce data fluency are essential, along with BI tooling such as Tableau, Power BI or Looker for production quality dashboarding.
- Good commercial instincts, and a genuine interest in what a sales motion is, what conversion rates and AOV mean for the business, and why commission design matters.
- Experience working alongside or within an FP&A function, with a practical grasp of how commercial and financial views of the business connect.
- Excellent communication: able to turn complex analysis into a clear, well‑framed story that senior commercial and finance audiences can act on.
- A high standard for data integrity: the instinct to question numbers that don’t reconcile, and the discipline to fix root causes rather than work around symptoms.
- A hands‑on builder’s mentality: someone who enjoys building the models, dashboards, automations and workflows, and isn’t allergic to detail.
IF YOU HAVE THE FOLLOWING THAT WOULD BE GREAT
- Direct experience in or close to the aviation, travel or transport intelligence industry.
- Snowflake or equivalent cloud data platform experience, or familiarity with Python or R for analytical work, modelling and automation beyond what SQL and BI tools can do.
- Familiarity with commission design and incentive modelling in a multi‑region sales organisation.
- Exposure to a fast‑growth or private‑equity‑backed environment, or a background that bridges commercial analytics with finance, marketing or product analytics.
If you don’t meet every requirement but feel excited about this role, we’d still love to hear from you.
WE WILL OFFER YOU
- You will proactively explore and adopt AI tools and automation in your day‑to‑day work, keeping the customer at the centre of everything you do.
You will share learnings with your team and approach new technologies with curiosity and an open mind.
At OAG, finding better ways to work and putting customers first is everyone's responsibility.
- Real responsibility on hard problems, with the autonomy to own decisions and act on them, in an open culture built on trust.
- Flexible working arrangements that allow a mixture of office and home working
- An attractive compensation and benefits package, including private health insurance, a company bonus scheme and enhanced pension scheme
- 25 days holiday plus bank holidays, and a day off during your birthday month
- Octopus EV salary sacrifice scheme
- Work remotely anywhere in the world for up to 1 month per year
- Annual learning and development budget.
- OAG is committed to creating an inclusive workplace where everyone feels valued and able to perform at their best.
- We welcome applications from people of all backgrounds and experiences.
If you require reasonable adjustments at any stage of the recruitment process, please let us know, we’re happy to have an open conversation about how we can support you.
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Commercial Analyst in Luton employer: OAG
OAG is an exceptional employer, offering a dynamic and flexible working environment that empowers employees to thrive in their roles. With a strong focus on professional growth and an attractive benefits package, including opportunities for remote work, OAG fosters a culture of innovation and collaboration, making it an ideal place for those passionate about data and aviation.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Analyst in Luton
✨Get to Grips with Data Visualisation Tools
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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 OAG!
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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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We think you need these skills to ace Commercial Analyst in Luton
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 OAG, 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 OAG
✨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 OAG’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.
