At a Glance
- Tasks: Collaborate with teams to solve complex business problems using data and deliver impactful analytical solutions.
- Company: Join a family-oriented company focused on personal growth and development.
- Benefits: Enjoy private healthcare, competitive pension, increasing holiday leave, and more.
- Other info: Transparent interview process with open-door access to key people in the business.
- Why this job: Make a real impact by driving data decision-making in an innovative environment.
- Qualifications: Advanced SQL skills, experience with dbt and Google Cloud Platform, and strong communication abilities.
The predicted salary is between 63000 - 77000 £ per year.
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 Big Query 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 Big Query.
- 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.
#J-18808-Ljbffr
Senior Data Analyst in West Malling employer: Watchfinder
At Watchfinder, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that encourages experimentation and continuous learning. As a Senior CRO & Growth Architect, you will have the opportunity to work alongside talented professionals in a fast-growing environment, with access to cutting-edge tools like ContentSquare and FullStory, while also benefiting from our commitment to employee growth and development. Join us in our mission to enhance customer engagement and drive revenue, all within a supportive team that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in West Malling
✨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 Watchfinder!
✨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 Watchfinder.
✨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 Watchfinder.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Watchfinder, 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 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!
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 Watchfinder, 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 Watchfinder. 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 Watchfinder
✨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 Watchfinder!
✨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.
