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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 working options.
- Why this job: Make a real impact with data while working in a diverse and inclusive environment.
- Qualifications: 4+ years in data analysis, proficiency in SQL, and strong analytical skills.
- Other info: Be part of a dynamic team with opportunities for continuous learning and career growth.
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:
- Analyze 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 current employees at Blacklane on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into Blacklane's mission and values. Show us how your skills as a Senior Data Analyst align with our goals, especially around data-driven decision-making and sustainability.
✨Tip Number 3
Practice your storytelling skills! When discussing your past projects, focus on how your insights led to actionable outcomes. We love hearing about real-world impacts, so make it relatable and engaging.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Blacklane.
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 engaging and personal – we love to see your personality!
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 know what you've done and how it relates to the role. Visuals can be a great addition too!
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 follow the prompts!
How to prepare for a job interview at Blacklane
✨Know Your Data Tools
Make sure you're well-versed in SQL and the data visualisation tools mentioned in the job description, like Tableau or Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Skills
Prepare examples of complex datasets you've analysed and the insights you derived from them. Be ready to explain your thought process and the statistical methods you employed, especially if you've done predictive modelling.
✨Understand the Business Context
Familiarise yourself with Blacklane's business model and the specific domains they operate in, such as Product, Marketing, and Operations. This will help you tailor your answers to show how your data analysis can directly support their strategic goals.
✨Communicate Clearly
Practice explaining your findings in a clear and concise manner. Think about how you would present complex data to stakeholders at different levels, ensuring that your communication is effective and engaging.
