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- Tasks: Transform complex data into actionable insights and develop engaging dashboards.
- Company: Join Blacklane, a global leader in premium chauffeur services.
- Benefits: Enjoy 28 vacation days, health insurance, and hybrid work flexibility.
- Why this job: Make a real impact with data while working in a diverse and inclusive environment.
- Qualifications: 4+ years in data analysis, strong SQL skills, and excellent communication.
- Other info: Participate in employee resource groups and continuous learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
As a Senior Data Analyst at Blacklane, you will be at the forefront of our data-driven initiatives, transforming complex datasets into actionable insights that drive business decisions. Your role will involve developing dashboards, reports, and visualizations, collaborating with cross-functional teams to understand and meet their data needs, and conducting advanced statistical analyses. You will ensure data integrity and accuracy, communicate findings effectively, and contribute to the strategic direction of our data division within the engineering department. This position offers opportunities for continuous learning, flexible working arrangements, and participation in a diverse, inclusive environment.
YOUR CHALLENGE:
- Analyse complex datasets to uncover trends, patterns, and actionable insights.
- Develop and maintain dashboards, reports, and data visualizations to track key metrics.
- Own part of our data transformation layer where we apply data modeling techniques (via dbt) to transform raw data into analytics-friendly data assets.
- Collaborate with cross-functional teams to understand business needs and translate them into data requirements.
- Conduct advanced statistical analyses and predictive modeling to support strategic decision-making.
- Ensure data integrity and accuracy through rigorous validation and quality checks.
- Develop domain expertise in a set of business domains (e.g. Product, Marketing, Operations or Sales) to become a valuable partner to our business stakeholders.
- Communicate findings and recommendations effectively to stakeholders at all levels.
ABOUT YOU:
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- 4+ years of experience in data analysis or a similar role.
- Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI, Looker).
- Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- Excellent communication and presentation skills.
- Experience with statistical analysis and predictive modeling is a plus.
About Blacklane
Our mission is simple but powerful: to become the world’s leading premium, global chauffeur service. Operating in 50+ countries, we reimagine chauffeur-driven rides by prioritising reliability, innovation, and first-class service at every step. Blacklane is also at the forefront of sustainable mobility efforts, continuously working to reduce our operational impact on the planet.
Our Company Culture
Blacklane has grown from a two-person startup in Berlin to a global team of over 300 people representing 54+ nationalities. Powered by our commitment to care, inclusion, innovation, and collaboration, we support employees through initiatives like Employee Resource Groups (ERGs), mentorship programs, and more.
- LGBTQIA+ Network – Advocating for inclusivity and championing allyship.
- Bookclub – Encouraging cultural exchange, fostering discussion, critical thinking, and team engagement through shared reading and analysis.
- Blacklane Cares Leave – Spend up to eight paid hours annually volunteering for causes meaningful to you.
We welcome—and actively support—employees to create or join the communities that are important to them.
Why join Blacklane?
At Blacklane, our Compensation and Benefits strategies are designed to be fair and market-aligned. We combine base salary with variable elements and long-term incentives as part of our overall rewards framework. All employees participate in our company-wide Virtual Stock Option Plan (VSOP), sharing in Blacklane’s long-term success.
In addition, we offer a benefits package tailored to each location, supporting health, wellbeing, time off, learning, and local needs. Some of the benefits for this role and country include:
- Local perks – UK (London) – 100% employer-paid health insurance for you and your dependents, with 24hr GP access
- 28 vacation days per year, increasing with tenure
- Company pension with up to 5% employer contribution
- Twice‑weekly Just Eat lunch vouchers for UK hub employees
- Your Mental and Physical Health → No compromise with Nilo and Wellhub
- Continuous learning & certified coaching
- Hybrid setup: 3 days a week in our London office
- Fair pay and shared success through our VSOP program
- Mystery Rides: Quarterly Voucher to enjoy personal trips around the world with Blacklane and experience our service from a guest’s perspective.
We value equal opportunities and welcome everyone to apply.
Senior Data Analyst London employer: Blacklane
Contact Detail:
Blacklane Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data analysis skills. Use real examples from your past work to demonstrate how you’ve turned complex datasets into actionable insights.
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Stay updated on industry trends and tools. Being knowledgeable about the latest in data visualisation and statistical analysis will not only impress interviewers but also help you stand out as a candidate.
We think you need these skills to ace Senior Data Analyst London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with SQL, data visualisation tools, and any relevant statistical analysis skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our mission at Blacklane. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don’t hesitate to mention them! Whether it's dashboards, reports, or predictive models, we want to see your hands-on experience and how you’ve made an impact in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Blacklane
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with data visualisation tools like Tableau or Power BI. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Analytical Skills
Prepare to talk about specific examples where you've analysed complex datasets to uncover trends or insights. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and impact.
✨Understand the Business Context
Research Blacklane’s business model and its focus on premium chauffeur services. Think about how your data analysis can contribute to their strategic goals, especially in areas like marketing or operations. This will demonstrate your interest in the company and the role.
✨Communicate Clearly
Practice explaining your findings and recommendations in a clear and concise manner. Remember, you’ll need to communicate with stakeholders at all levels, so being able to present complex data in an understandable way is key. Consider doing mock interviews to refine your communication style.
