Senior Data Analyst

Applied Intuition Inc.; Greater London; Hybrid; GBP 80,000 - GBP 100,000; Full time

Job summary

A leading tech firm in Greater London is seeking a Senior Data Analyst to analyze complex datasets and develop actionable insights. You will create dashboards and reports while collaborating with teams to meet data needs. The ideal candidate should have at least 4 years of experience in a similar role and possess strong skills in SQL and data visualization tools. The position offers a hybrid working model and comprehensive benefits, including health insurance and mental wellness support.

Benefits

100% employer-paid health insurance

28 vacation days per year

Company pension with up to 5% employer contribution

Twice‑weekly Just Eat lunch vouchers

Continuous learning through LinkedIn learning

Hybrid setup: 3 days a week in London office

Quarterly Voucher for Mystery Rides

Qualifications

• 4+ years of experience in data analysis or a similar role.
• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Experience with statistical analysis and predictive modeling is a plus.

Responsibilities

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and data visualizations to track key metrics.
• Conduct advanced statistical analyses and predictive modeling to support strategic decision-making.

Skills

SQL

Data visualization tools (Tableau, Power BI, Looker)

Analytical skills

Problem-solving skills

Communication skills

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field

Job description

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 prioritizing 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.

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 through LinkedIn learning and L&D budget
• 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 can only hire candidates based in one of the selected locations as we follow a hybrid work model.

We value equal opportunities and welcome everyone to apply.