Analytics Engineer: Data Products & Self-Serve Insights (Hybrid) in London

Analytics Engineer: Data Products & Self-Serve Insights (Hybrid) in London

London Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
Immediate Live Co

At a Glance

  • Tasks: Build scalable data models and deliver self-serve analytics for teams.
  • Company: Immediate Live Co, a forward-thinking company focused on data-driven decisions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team with a focus on innovation and reliability.
  • Why this job: Shape data quality and enable AI-driven insights that impact real business decisions.
  • Qualifications: Experience with data modelling and strong collaboration skills.

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

Immediate Live Co is hiring an Analytics Engineer to build scalable data models on Databricks using dbt, delivering self-serve analytics for cross‑functional teams.

You’ll shape data quality, implement tests, and partner with stakeholders to enable AI‑driven decisions.

The role is hybrid with a focus on robust data foundations, keeping dashboards and analytics reliable across business domains.

#J-18808-Ljbffr

Analytics Engineer: Data Products & Self-Serve Insights (Hybrid) in London employer: Immediate Live Co

Immediate Live Co is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to thrive in the events industry. With a focus on employee growth, we offer comprehensive training and development opportunities, ensuring you can advance your career while enjoying the vibrant atmosphere of London. Join us to be part of exciting live events and make meaningful connections with industry leaders.

Immediate Live Co

Contact Details:

Immediate Live Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Engineer: Data Products & Self-Serve Insights (Hybrid) 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 Live Co!

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: Data Products & Self-Serve Insights (Hybrid) at Immediate Live Co.

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 Immediate Live Co.

Apply Directly through Our Website

When you find a suitable opening like Analytics Engineer: Data Products & Self-Serve Insights (Hybrid) at Immediate Live Co, 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: Data Products & Self-Serve Insights (Hybrid) in London

Python
SQL
Communication Skills
Problem-Solving Skills
Data Pipeline Development
Data Engineering
API Integration

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 Live Co, 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 Live Co. 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 Live Co

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 Live Co!

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.