At a Glance
- Tasks: Collaborate with teams to solve complex data problems and deliver impactful insights.
- Company: Join Watchfinder, the leading pre-owned watch specialist with a family-like culture.
- Benefits: Enjoy private healthcare, competitive pension, and generous holiday schemes.
- Other info: Transparent interview process with opportunities for personal growth and development.
- Why this job: Make a real impact in a dynamic environment while growing your career.
- Qualifications: Advanced SQL skills and experience with Google Cloud Platform required.
The predicted salary is between 63000 - 77000 £ per year.
Since Watchfinder & Co. was first founded in 2002, it has grown to become the premier resource from which to buy and sell premium pre-owned watches. With thousands of watches available from more than 50 brands, including Rolex, Omega, IWC and more, plus boutiques across the UK and a manufacturer certified service centre, Watchfinder has established itself as the top pre-owned watch specialist.
How will you make an impact?
- Collaborate in cross-functional teams (Data, Tech, and Business) to solve complex business problems through data, from understanding requirements to delivering analytical solutions.
- Translate business needs into clear and scalable data models and our semantic layer, ensuring technical solutions align with our long-term platform design and methodologies.
- Build and maintain robust data transformations and models in dbt, ensuring data consistency, quality, and reusability across our BigQuery environment.
- Deliver analytical insights and self-service data products (reports, KPIs, dashboards) that drive data decision-making culture.
- Identify, collect, and transform data from multiple sources; model it effectively for analytical consumption following layered architecture principles.
- Promote best practices in data development, version control, and documentation using Git and CI/CD workflows.
- Proactively identify data quality issues, operational risks, and growth opportunities, driving data-driven recommendations and influencing priorities.
- Communicate insights clearly to technical and non-technical audiences, including senior stakeholders, supporting business alignment and adoption.
- Contribute to team culture by sharing knowledge, supporting peer reviews, and mentoring colleagues when needed.
How will you experience success with us
- Advanced SQL: able to write optimized, maintainable queries using complex joins, CTEs, and window functions.
- dbt: for data modelling using medallion architecture, testing, and documentation.
- Hands-on experience: with Google Cloud Platform (GCP), especially BigQuery.
- Git: version control and collaborative development practices.
- Ability to translate business requirements into well-structured, scalable data models.
- Problem-solving and analytical thinking, with a focus on clarity and impact.
- Good communication skills: able to simplify technical topics and engage effectively with stakeholders across business functions.
- Proactive mindset, capable of managing priorities, documenting work clearly, and driving outcomes independently.
Your journey with us
Our aim is to provide you a transparent interview process from the moment you apply for the role. It’s important for us that you get to know us to ensure the role aligns to your future career objectives.
We provide all candidates with open-door access to key people across the business so they can discuss opportunities, get a feel for our culture, and better understand how they can make an impact and be part of Watchfinder’s exciting trajectory.
Interview Process
- Intro Call with Talent Team: An introductory call with our in-house talent team to learn more about your skills and experience in more detail.
- 1st Stage: Interview with our Business Intelligence Manager and Senior Data Analyst to learn more about your skills, experience, and motivation for the role.
- 2nd Stage: Present a Case Study to our Business Intelligence Manager and Senior Data Analyst.
- Final Stage: Final interview with the CPO and HR Business Partner.
Our Benefits & Incentives
As well as a competitive salary we also offer more great benefits seen below:
- Private healthcare and dental
- Competitive pension scheme
- Holiday scheme – Increasing annual leave
- Cycle to work scheme
- Employee Assistant programme
- Income Protection
- Life Assurance
Why work for Watchfinder?
Firstly, what makes Watchfinder a great place to work is the people! Whether that be within your immediate team or across other areas of the business, there really is a family feel across the whole company.
If personal growth and development is high on your priority list, then Watchfinder is the place for you. We’ve had numerous success stories throughout the business of our staff furthering and developing their careers, proving to be integral contributors to the company.
To be part of this exciting journey, apply now!
Summary
Location: WEST MALLING
Type: Full time
Senior Data Analyst in West Malling employer: Richemont
Richemont is an exceptional employer that values creativity, craftsmanship, and innovation, making it a perfect fit for those looking to thrive in a dynamic environment. With a strong commitment to employee growth, you will have the opportunity to lead strategic projects and enhance your skills while collaborating with diverse teams across retail and e-commerce. The hybrid working model offers flexibility, allowing you to balance your professional and personal life while contributing to a company that prides itself on its heritage and forward-thinking approach.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in West Malling
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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 Richemont.
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We think you need these skills to ace Senior Data Analyst in West Malling
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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Craft a Tailored Cover Letter:For a full-time role at Richemont, 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.
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How to prepare for a job interview at Richemont
✨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 Richemont!
✨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.
