At a Glance
- Tasks: Develop scalable data models and support product analytics for data-driven decisions.
- Company: Time for Phonics, a forward-thinking company in Bath.
- Benefits: Competitive salary, medical insurance, and 28 days leave.
- Other info: Enjoy a hybrid working arrangement and a dynamic work environment.
- Why this job: Make an impact by delivering high-quality insights and collaborating across teams.
- Qualifications: Experience in data analytics and proficiency with tools like Snowflake and dbt.
The predicted salary is between 35000 - 39400 £ per year.
Time for Phonics in Bath is seeking a highly skilled Data Analytics Engineer to support product analytics and operational teams. This role is essential for data-driven decision-making and involves developing scalable data models with tools like Snowflake and dbt.
The successful candidate will collaborate across departments to deliver high-quality insights and ensure the accessibility, quality, and reliability of data.
The position offers a hybrid working arrangement with a competitive salary between £35,000 - £39,400 and a range of benefits including medical insurance and 28 days leave.
Analytics Engineer: Scalable Data & Insights (Hybrid UK) in Bath employer: Time for Phonics
Time for Phonics in Bath is an exceptional employer that values innovation and collaboration, providing a dynamic work environment where data-driven insights shape the future of education. With a strong focus on employee growth, we offer comprehensive benefits including medical insurance and generous leave, ensuring our team members thrive both personally and professionally. Join us in a hybrid role that not only supports your career development but also contributes to meaningful educational outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer: Scalable Data & Insights (Hybrid UK) in Bath
✨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 Time for Phonics!
✨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: Scalable Data & Insights (Hybrid UK) at Time for Phonics.
✨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 Time for Phonics.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer: Scalable Data & Insights (Hybrid UK) at Time for Phonics, 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: Scalable Data & Insights (Hybrid UK) in Bath
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 Time for Phonics, 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 Time for Phonics. 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 Time for Phonics
✨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 Time for Phonics!
✨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.
