At a Glance
- Tasks: Analyse data to provide insights that enhance learner experiences and product performance.
- Company: Join a leading online international education provider with a positive work culture.
- Benefits: Competitive salary up to £47K, generous holiday, and attractive pension scheme.
- Other info: Collaborative team atmosphere with excellent work/life balance and career growth opportunities.
- Why this job: Make a real impact in education while enjoying a flexible hybrid working environment.
- Qualifications: 5+ years in data analysis, strong SQL skills, and experience with Power BI dashboards.
The predicted salary is between 40500 - 49500 £ per year.
Data Analyst required by our client an online international education provider, responsible for providing analysis and actionable insights to improve product performance, learner experience, and commercial outcomes.
Reporting to the Head of Product, the role develops and maintains reporting solutions, analyses learner and product data, evaluates feature releases, and creates dashboards that support strategic and operational decision-making.
The role offers the opportunity for hybrid working with 2-3 days a week required in their London office in a really welcoming and positive working environment.
- Our client offers a competitive salary and package which includes:-
- Salary: to £47K plus London allowance
- London Allowance: £3,300 for London based candidates where applicable).
- Attractive pension scheme
- (employer contributions up to 27%)
- 32 days holiday plus bank holidays package (c39 days).
· Hybrid working - location
- Stratford, London, you will be required to work in the office up to 3 days a week
- Excellent work/life balance opportunity in collaborative working environment
- Work Experience and Qualifications
- Minimum/essential
- Minimum 5+ years’ experience in data analysis, BI analysis, or product analytics.
- Strong SQL/My SQL skills, including writing and optimising queries.
- Experience building and maintaining Power BI dashboards.
- Proven ability to translate data into clear, actionable commercial or product insights.
- Experience developing and tracking KPIs for digital services or digital products.
- Experience with cross-functional teams (e. g. product, marketing, sales).
- Familiarity with customer journey analysis, digital funnel metrics, and performance benchmarking.
- Strong written and verbal communication skills for technical and non-technical audiences.
- Experience with GA4 and other digital analytics tools.
- Ability to manage competing priorities in a deadline-driven environment.
The role is offered as a permanent position, and based in London on a hybrid basis and offers a salary to £47K (plus £3,300 for London based candidates where applicable).
The successful candidate will also enjoy a first-class benefits including attractive pension scheme (employer contributions up to 22%) and 32 days holiday plus bank holidays package.
Please forward your CV to our Consultant Elaine Hallworth for further information.
Data Analyst in London employer: Elevate Recruitment Limited Careers
Join a dynamic software company located on the picturesque Cheshire/North Wales border, where you will be part of a close-knit team dedicated to delivering exciting IT projects. With a strong emphasis on employee growth, you will benefit from extensive training opportunities, a competitive salary of up to £50k, and generous benefits including 25 days annual leave, a pension scheme, and a supportive work culture that values both personal and professional development.
Contact Details:
Elevate Recruitment Limited Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
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We think you need these skills to ace Data Analyst 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!
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Craft a Tailored Cover Letter:For a full-time role at Elevate Recruitment Limited Careers, 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 Elevate Recruitment Limited Careers. 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 Elevate Recruitment Limited Careers
✨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!
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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 Elevate Recruitment Limited Careers!
✨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.