Looker BI Developer β€” Hybrid (EdTech Impact) in Sheffield

Looker BI Developer β€” Hybrid (EdTech Impact) in Sheffield

Sheffield Full-Time 45000 - 55000 Β£ / year (est.) Home office (partial)
Tes Global

At a Glance

  • Tasks: Design and develop Looker models and dashboards for impactful data insights.
  • Company: Join Tes, a leading EdTech company making a difference in education.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
  • Other info: Be part of a dynamic team focused on innovation and education.
  • Why this job: Make a real impact in the education sector through data-driven decisions.
  • Qualifications: Experience with Looker and strong collaboration skills are essential.

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

Tes is seeking a Looker Developer (BI Analyst) to join our Data & Insights team in a hybrid role, split between Sheffield or London.

You will design, develop, and maintain Looker models and dashboards, ensuring governed data experiences across the business.

Collaboration with stakeholders is key to delivering data-driven decisions for education sector impact.

You will drive semantic modelling, scalable data pipelines, and performance optimisations while promoting self-service analytics and

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Looker BI Developer β€” Hybrid (EdTech Impact) in Sheffield employer: Tes Global

TES Global is an exceptional employer that fosters a creative and collaborative work environment in the vibrant city of Sheffield. With a strong focus on employee growth, we offer numerous opportunities for professional development alongside competitive benefits and a flexible hybrid working pattern. Join us to be part of a dynamic team dedicated to producing impactful video content that resonates with audiences across various platforms.

Tes Global

Contact Details:

Tes Global Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Looker BI Developer β€” Hybrid (EdTech Impact) in Sheffield

✨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 Tes Global!

✨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 Looker BI Developer β€” Hybrid (EdTech Impact) at Tes Global.

✨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 Tes Global.

✨Apply Directly through Our Website

When you find a suitable opening like Looker BI Developer β€” Hybrid (EdTech Impact) at Tes Global, 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 Looker BI Developer β€” Hybrid (EdTech Impact) in Sheffield

Communication Skills
Problem-Solving Skills
Python
Automation
SQL
Attention to Detail
Data Engineering

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 Tes Global, 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 Tes Global. 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 Tes Global

✨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 Tes Global!

✨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.