At a Glance
- Tasks: Transform complex trading data into actionable insights to boost revenue and occupancy.
- Company: Join Premier Inn, a top employer with a commitment to diversity and growth.
- Benefits: Competitive salary, bonuses, health benefits, and matched pension contributions.
- Other info: Opportunity to mentor analysts and influence millions in revenue annually.
- Why this job: Make a real impact on a major international hospitality business through data-driven decisions.
- Qualifications: Strong commercial analytics experience and proficiency in SQL, Power BI, and Azure Databricks.
The predicted salary is between 64000 - 69000 £ per year.
Location: Chancery Lane (WC2A 1EN), hybrid working 3 days in the office, 2 days working from home/another location
Function: Trading
Salary: £64,000 - £69,000 dependant on skills and experiences + up to 20% bonus + health + up to 10% matched pension + benefits
We’re looking for an experienced Principal Trading Analyst to turn complex trading data into decisions that help maximise revenue and occupancy across Premier Inn in the UK, Ireland and Germany. This is much more than a reporting role. You’ll explore the factors driving performance, identify risks and commercial opportunities, and translate your findings into clear recommendations. Close working relationships with Commercial Leads and stakeholders across Trading, Pricing, Events, eCommerce and Marketing will be key. You’ll help shape and optimise our pricing and trading activity.
This role will let you take ownership of commercial analysis from the initial question through to implementation. That means identifying the right areas to investigate, building robust datasets, uncovering the story behind the results and presenting your conclusions to both technical and non-technical audiences. Your ability to combine analytical curiosity with strong commercial judgement will be essential.
You will own Premier Inn’s weekly and annual trading drumbeats – chairing key sessions and creating weekly business performance packs to support optimal short-lead revenue performance, and conducting longer-lead seasonal reviews to drive performance metrics into the next 12 months’ stay dates.
You’ll also manage, coach and develop two Trading Analysts, while owning the team’s analytical roadmap and ensuring high-priority work is delivered at pace. Previous line-management experience would be ideal, although we’re also open to candidates with strong, demonstrable experience of mentoring or developing others. The role has the potential to influence approximately £5–10 million in revenue annually.
We’re looking for someone who brings:
- Strong commercial analytics experience in a dynamic-pricing environment preferred
- Hands-on experience creating solutions and analysis using Power BI and Azure Databricks (or equivalent), rather than simply consuming existing reports
- Strong SQL capability for data manipulation and analysis
- Excellent data visualisation, storytelling and presentation skills
- The confidence to influence stakeholders and provide constructive challenge
- Experience coaching, mentoring or line-managing analysts
- The ability to balance immediate trading priorities with longer-term commercial initiatives
You could currently be working in hospitality, travel, airlines, cruise lines, rail, retail or supermarkets, or another sector where demand and dynamic pricing directly influence commercial performance.
If you’re passionate about turning data into commercial action and want your analysis to have a visible impact on the performance of a major international hospitality business, we’d love to hear from you.
We’re proud to be a Top Employer for 14 consecutive years, a top apprenticeship employer, a Leader in Stonewall’s Proud Employer Accreditation, and a Top 25 Exemplary Employer in the Investing in Ethnicity Parliamentary Matrix.
Join Premier Inn and help develop the skills, leaders and capabilities that will power our future success.
Principal Trading Analyst (UK/DE) in Camden Town employer: Premier Inn
Premier Inn is an excellent employer, offering a supportive and friendly work environment in Bishop Auckland. With flexible part-time hours and competitive pay, employees benefit from Whitbread's comprehensive perks and clear pathways for career advancement, making it a rewarding place to grow and contribute to guest satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Trading Analyst (UK/DE) in Camden Town
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We think you need these skills to ace Principal Trading Analyst (UK/DE) in Camden Town
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 Premier Inn. 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 Premier Inn
✨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.
