Senior Data Analyst - dbt, BigQuery & BI Insights in West Malling

Senior Data Analyst - dbt, BigQuery & BI Insights in West Malling

West Malling Full-Time 45000 - 55000 £ / year (est.) On-site
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At a Glance

  • Tasks: Transform business needs into scalable data models and dashboards using dbt and BigQuery.
  • Company: Join Watchfinder's innovative BI team focused on data-driven solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Mentorship opportunities and a focus on continuous improvement practices.
  • Why this job: Make a real impact by delivering analytical solutions in a collaborative environment.
  • Qualifications: Advanced SQL skills and hands-on experience with GCP required.

The predicted salary is between 45000 - 55000 £ per year.

Watchfinder is seeking a data-focused professional to join our BI team, delivering analytical solutions and scalable data models.

You will transform requirements into robust dbt models and dashboards within our Big Query environment.

Ideal candidates bring advanced SQL skills, hands-on GCP experience, and a proactive, collaborative mindset.

You will translate business needs into scalable data architectures while mentoring peers and promoting CI/CD practices.

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Senior Data Analyst - dbt, BigQuery & BI Insights 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.

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Contact Details:

Watchfinder Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst - dbt, BigQuery & BI Insights 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 - dbt, BigQuery & BI Insights 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 - dbt, BigQuery & BI Insights 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 - dbt, BigQuery & BI Insights in West Malling

Advanced SQL Skills
dbt
BigQuery
Data Modelling
GCP Experience
Analytical Solutions
CI/CD Practices

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.