At a Glance
- Tasks: Build data models and pipelines while shaping the future of our data function.
- Company: Fast-growing InsurTech with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic environment with a chance to work on cutting-edge data solutions.
- Why this job: Join us at a pivotal moment and take ownership of our data journey.
- Qualifications: Experience in analytics or data engineering with strong SQL and Python skills.
The predicted salary is between 85000 - 90000 £ per year.
Analytics Engineer | London/Hybrid | £85,000 - £90,000
Fast-growing Insur Tech rebuilding its entire data platform following the launch of a brand-new product, creating an opportunity for an Analytics Engineer to shape the future of its data function from the ground up.
This is a hands-on role spanning both Analytics Engineering and Data Engineering, where you'll build data models, reporting layers and pipelines while helping design the long-term data architecture.
You'll work closely with stakeholders across the business, translating requirements into scalable reporting and analytics solutions, while playing a key role in migrating from a legacy platform to a modern data stack.
It's an opportunity to join at a genuine build stage, taking ownership of data rather than maintaining someone else's environment.
What do you need?
- Experience as an Analytics Engineer or Data Engineer
- Strong SQL, dbt and Python experience
- Knowledge of data modelling, data warehousing and ETL/ELT pipelines
- Experience working with modern cloud data platforms (Azure preferred)
- Strong stakeholder management and business-facing communication skills
- A builder mindset, comfortable working in fast-moving, evolving environments
Desirable
- Azure
- Prefect, Airflow or Dagster
- Metabase or Tableau
- Experience within Insur Tech, Fin Tech or another regulated industry
Please apply if you'd like to learn more!
Analytics Engineer in Slough employer: RevTech
RevTech is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work on impactful fintech solutions. Our commitment to a supportive environment ensures that every team member can thrive while contributing to meaningful projects that address real-world challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Slough
✨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 RevTech!
✨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 at RevTech.
✨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 RevTech.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at RevTech, 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 in Slough
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 RevTech, 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 RevTech. 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 RevTech
✨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 RevTech!
✨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.
