At a Glance
- Tasks: Transform complex data into actionable insights that drive business growth.
- Company: Join a forward-thinking company focused on data-driven decisions.
- Benefits: Competitive salary up to £80,000, flexible working, and opportunities for professional development.
- Other info: Exciting role in a dynamic environment with a focus on AI-enabled analytics.
- Why this job: Make a real impact by influencing commercial strategy with your analytical skills.
- Qualifications: Proven experience in commercial analytics and strong SQL skills required.
The predicted salary is between 80000 - 80000 £ per year.
Join our client as a Senior Commercial Data Analyst and turn complex data into decisions that shape our clients future growth.
Working within our Data and Analytics team, you will partner closely with commercial leaders to answer the questions that matter and uncover insights that drive action.
You will analyse performance across customers, corridors, channels, products and partners, using data to understand what is happening, why it is happening and what we should do next.
This is a role for someone who goes beyond dashboards, creating clear recommendations and trusted analysis that influences commercial strategy.
You will use strong SQL skills, build reliable reporting in Looker, and help improve the way we work by automating repetitive analysis and reporting processes.
We are looking for someone with proven commercial analytics experience in an e-commerce, B2C or B2B2C environment, with a strong understanding of revenue, margin, funnels, retention and customer behaviour.
You will bring curiosity, attention to detail and the confidence to challenge assumptions while working with senior stakeholders across the business.
Experience with AI tools such as Chat GPT or Claude is highly valued, as we are building a more efficient, AI-enabled analytics function.
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Senior Data Analyst - Up to £80,000 in London employer: Blu Digital
Blu Digital is an excellent employer that fosters a dynamic work culture, blending the flexibility of hybrid working with a collaborative team environment in beautiful Sussex. Employees benefit from competitive salaries, opportunities for professional growth, and the chance to make a significant impact on eCommerce strategies, all while enjoying the vibrant local community and its resources.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Up to £80,000 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 Blu Digital!
✨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 Senior Data Analyst - Up to £80,000 at Blu Digital.
✨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 Blu Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst - Up to £80,000 at Blu Digital, 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 Senior Data Analyst - Up to £80,000 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 Blu Digital, 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 Blu Digital. 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 Blu Digital
✨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 Blu Digital!
✨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.
