At a Glance
- Tasks: Transform data into actionable insights for sales, marketing, and learner engagement.
- Company: Join a dynamic tech company focused on data-driven decisions.
- Benefits: Enjoy private health insurance, generous holidays, and a learning budget.
- Other info: Hybrid work model with opportunities for professional growth.
- Why this job: Make a real impact by helping teams make informed decisions with data.
- Qualifications: 2+ years in data analysis, strong SQL skills, and clear communication.
The predicted salary is between 31500 - 38500 £ per year.
Turn Studdy's data into decisions: sales funnels, marketing performance, learner engagement and revenue.
You give every team the numbers they need to decide well and fast.
Requirements
- Excellent English communication, spoken and written.
- Basic French: an A2 French certificate is required before your visa application. You can learn it after you are selected, with any provider you choose.
- 2+ years in data or business analysis
- Strong SQL and spreadsheets
- Experience with a BI tool (Looker Studio, Metabase, Power BI or similar)
- Clear storyteller with data
Responsibilities
- Build dashboards for sales, marketing and product
- Analyse funnels, cohorts and retention
- Answer business questions with clear analysis
- Keep metrics consistent and trustworthy
Benefits
- Private health insurance
- Generous paid holiday
- Learning budget for courses and certifications
- Free Studdy subscription for your family
Studdy never charges candidates any fee.
Data Analyst – Hybrid in London employer: Studdy Lab
Studdy Lab provides a supportive work environment that encourages professional development and offers various benefits. Employees enjoy private health insurance, generous paid holidays, and a learning budget for courses and certifications. The company values collaboration and aims to connect learners with educational resources effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst – 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 Studdy Lab!
✨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 Data Analyst – Hybrid at Studdy Lab.
✨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 Studdy Lab.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst – Hybrid at Studdy Lab, 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 Data Analyst – Hybrid 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 Studdy Lab, 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 Studdy Lab. 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 Studdy Lab
✨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 Studdy Lab!
✨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.
