At a Glance
- Tasks: Transform data into insights that drive business decisions and performance.
- Company: Join a leading company in sustainable growth and technology innovation.
- Benefits: Enjoy Merlin Annual Passes, generous holiday, and discounts on LEGO and attractions.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Experience in data analysis, SQL proficiency, and strong communication skills.
The predicted salary is between 50000 - 65000 £ per year.
- What you'll bring to the team
- Senior Data Analyst
Merlin is transforming its business through sustainable growth and stronger technology capability.
We’re looking for an experienced Data Analyst to turn trusted data into clear insight and practical recommendations that improve decision-making, performance and business outcomes.
Using Data Products from the Lakehouse, you’ll answer complex business questions, identify trends and advise stakeholders on what the insight means.
Working across Business, Data Modelling and Reporting, you’ll shape analytical questions, support robust definitions and help ensure insight is understood, challenged and used to create measurable business value.
Responsibilities
- Insight Generation and Analysis
- Analyse trusted Data Products to identify trends, opportunities and performance drivers.
- Turn business questions into clear analytical approaches, using the right methods to uncover insight.
- Provide evidence-based recommendations that explain what is happening, why it matters and what action to take.
- Own the insight journey from problem definition through to recommendation and impact measurement.
- Business Partnering
- Partner with teams across Finance, Operations, Growth and Digital to understand priorities and define success.
- Present insight clearly to technical, non-technical and senior audiences to support decisions.
- Challenge assumptions and highlight risks where data does not support a conclusion.
- Manage competing priorities, balancing pace with analytical rigour
- Data Validation and Quality Feedback
- Validate Data Products, spotting gaps, inconsistencies and data quality issues before insight is shared.
- Work with Data Engineering and Data Modelling to improve definitions and resolve issues affecting trust.
- Support consistent KPI logic, interpretation guidance and analytical standards.
- Enabling Reporting and Consumption
- Support BI / Report Analysts with clear logic, definitions and reporting requirements.
- Shape dashboards and reports so they deliver meaningful, consistent insight.
- Improve self-service analytics, reduce duplicated logic and build confidence in reporting.
- Community and Capability Development
- Contribute to the Analyst Community of Practice by sharing standards and strong insight examples.
- Coach others in analytical thinking, data interpretation and use of trusted Data Products.
- Promote best practice in data usage, documentation and storytelling across the organisation.
Qualifications & Experience
- Significant experience in a Data Analyst, Insight Analyst, Analytics Consultant or equivalent role, ideally within a complex, multi-source data environment.
- Advanced proficiency in SQL and analytical techniques, with the ability to interrogate, join, profile and validate large datasets.
- Experience defining KPIs, metrics, business rules and interpretation guidance that support consistent decision-making.
- Strong experience using Power BI or similar visualisation tools, with an understanding of how dashboards and reports should enable business decisions.
- Understanding of modern data platforms such as Databricks, Azure or Fabric, and experience working with curated data models or semantic layers, is desirable.
- Experience working with senior stakeholders, cross-functional teams or product-led data environments, with the confidence to challenge assumptions and influence decisions.
- Degree in a quantitative discipline, or equivalent practical experience.
Benefits
- ‘Enjoy the Ride’ Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones!
- Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year’s service
- 33 days holiday (including bank holidays)
- Company bonus
- Private pension scheme
- 40% discount online off LEGO
- 25% discount in our on-site retail shops and restaurants
- Ongoing training and development opportunities
- Plus, many more…
- Pay Range
- Competitive
- #J-18808-Ljbffr
Senior Data Analyst in London employer: Merlin
Merlin offers a vibrant work environment at Warwick Castle, where you can immerse yourself in history while engaging with guests and creating unforgettable experiences. With flexible shifts, competitive benefits, and opportunities for personal growth, this role is perfect for those who thrive in a dynamic setting and are passionate about customer service. Join us to be part of a team that values creativity, teamwork, and the joy of making every visitor's day special.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Merlin!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst at Merlin.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Merlin.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Merlin, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Merlin, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Merlin. 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 Merlin
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Merlin!
✨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.
