At a Glance
- Tasks: Shape data modelling strategy and develop scalable dbt models on Databricks.
- Company: Immediate, aiming for 3 million subscribers by 2030 with data-driven decisions.
- Benefits: Competitive salary, collaborative team environment, and opportunities for professional growth.
- Other info: Collaborative data team focused on best practices and data quality.
- Why this job: Join a dynamic team to enable AI-driven insights and make a real impact.
- Qualifications: Strong SQL and Databricks/dbt experience required.
The predicted salary is between 60750 - 74250 £ per year.
Immediate is building towards 3 million subscribers by 2030, with data at the heart of decision making.
We seek an Analytics Engineer to shape our data modelling strategy, develop scalable dbt models on Databricks, and deliver reusable data products for dashboards and self-serve analytics across the business.
You will work in a collaborative data team, ensuring data quality, introducing best practices, and enabling AI‑driven insights.
A strong SQL and Databricks/dbt background is essential.
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Analytics Engineer — Build Self-Serve Data Platforms in London employer: Immediate
Immediate is an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee well-being and development. With benefits like flexible working arrangements, tailored training opportunities, and a supportive environment, employees are empowered to thrive both personally and professionally. Located in a newly renovated office, the company fosters collaboration and creativity, making it an ideal place for those looking to make a meaningful impact in the media industry.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer — Build Self-Serve Data Platforms 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 Immediate!
✨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 Analytics Engineer — Build Self-Serve Data Platforms at Immediate.
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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 Immediate.
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When you find a suitable opening like Analytics Engineer — Build Self-Serve Data Platforms at Immediate, 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 Analytics Engineer — Build Self-Serve Data Platforms 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 Immediate, 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 Immediate. 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 Immediate
✨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 Immediate!
✨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.
