At a Glance
- Tasks: Shape the future of a global marketplace through data insights and automation.
- Company: Join eFinancialCareers, the leading platform in financial services careers.
- Benefits: Competitive salary, private medical insurance, wellbeing subsidies, and generous paid time off.
- Why this job: Enjoy true autonomy and make a real impact on strategic decisions.
- Qualifications: 3-5 years in data analytics, expertise in Tableau and SQL required.
- Other info: Hybrid working available; we value diversity and support your needs.
The predicted salary is between 50000 - 60000 £ per year.
The Opportunity: Help shape a Global Marketplace. eFinancialCareers is the world’s leading financial services careers platform, connecting top talent with top employers in the banking, asset management, fintech, and financial technology sectors. We are a diverse company by design. We work collaboratively, share ideas and challenge conventional thinking. This is an opportunity to play a key role in shaping the next phase of eFinancialCareers, helping us strengthen our marketplace through better use of data, insight and automation.
We are looking for a Senior Data Analyst who wants more than just "ticket-taking." You will join an autonomous Technology team that owns its entire stack - from infrastructure to deployment. In this role, you won’t just build dashboards; you will contribute to the strategy for our reporting environment, drive the transition to self-service analytics and bridge the gap between the Data team and commercial team.
As the essential space for financial services and tech careers, we believe everyone should have access to life-changing opportunities, regardless of background. Therefore, we welcome diversity in applicants for all our roles.
Why This Role is Different
- True Autonomy: We believe in "Continuous Deployment." You have control over design, testing and deployment.
- High-Impact Stakeholders: You’ll partner directly with Marketing, Product and Exec teams who are data-savvy and keen to use data to inform decisions.
- Growth Potential: You’ll be embedded in a tech-first culture with direct exposure to Data Engineering, Building microservices in AWS, Product Management and Web Development life cycle.
Core Responsibilities
- Own the Tableau Ecosystem: Lead the growth and optimization of our Tableau environment. You’ll move us beyond simple reporting into advanced, automated analytical tools (using parameters, APIs and actions).
- Master the Web Stack: Act as the internal authority for GA4 and Google Tag Manager. You will own data collection integrity, fix tracking gaps and ensure our "top of funnel" data is world-class.
- Strategic Advisory: Partner with Sales and Product Managers to provide ad-hoc deep dives and bespoke analysis that influence the company’s roadmap.
- Upstream Influence: Collaborate with Web Dev and Data Engineers on modelling and architecture decisions to ensure our data warehouse (Redshift/BigQuery) is optimized for BI.
Your Profile
- The Tech Expert: You have deep expertise in Tableau and SQL. You don’t just write queries; you understand relational database structures and how to optimize them for performance.
- The Digital Specialist: You have significant experience in a digital/e‑commerce or marketplace environment. You understand user journeys, conversion funnels and web attribution.
- The GA4 Pro: You have hands‑on experience with GA4, GTM implementation and ensuring data cleanliness at the source.
- The Communicator: You can translate "data‑speak" into commercial insights. You are logical, articulate and enjoy collaborating with diverse global teams.
- The Problem Solver: You see "messy data" as an architectural challenge to be solved, not a chore to be avoided.
Education & Experience
- Education: BSc or MS in Computer Science, Data Science, or a related field. Equivalent professional experience in a highly technical data role will also be considered.
- Experience: Minimum of 3–5 years of professional experience in data analytics or business intelligence, ideally within a digital-first or marketplace environment.
Essential Technical Skills
- BI Mastery: 3+ years of hands‑on experience building complex, high‑performance dashboards in Tableau.
- SQL & Databases: Expert‑level SQL. Experience with cloud data warehouses such as Redshift, BigQuery or Snowflake.
- Digital Analytics: Proven track record of owning GA4 and GTM implementations, including tag management and data layer troubleshooting.
- The "Modern Data Stack": Understanding of data modelling, experience of Python and exposure to data engineering are highly desirable.
Desirable Skills
- Experience with the wider Google Marketing Stack (Ads Manager).
- Knowledge of the online recruitment market or fintech sector.
- Experience in web development, CI/CD, Agile technology environment.
What We Offer
- A supportive and high‑performing culture where personal responsibility is rewarded with a competitive package, including benefits such as pension, private medical insurance, wellbeing subsidies and generous paid time off.
- A transparent environment where high-quality work is recognized and rewarded.
- The tech and tools you need to succeed and grow.
- Eligible for UK‑based hybrid working.
As an inclusive employer, eFinancialCareers will try to accommodate any adjustments you need throughout the hiring process and beyond – just let us know how we can support you when you apply.
Senior Data Analyst in London employer: eFinancialCareers
Contact Detail:
eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their products and services, especially how they use data. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Tip Number 3
Practice your data storytelling skills! Be ready to explain complex data insights in simple terms. Use real-world examples from your experience to demonstrate how you've turned data into actionable strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team and helps us keep track of all applicants efficiently.
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with Tableau, SQL, and any relevant digital analytics tools. We want to see how your skills align 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 and how you can contribute to our team. Don’t forget to mention your experience in a digital or marketplace environment.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled messy data challenges in the past. We love candidates who see problems as opportunities for innovation, so let us know how you’ve made an impact!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at eFinancialCareers
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Tableau and SQL, as these are crucial for the Senior Data Analyst role. Prepare to discuss specific projects where you've used these tools to drive insights or improve processes.
✨Understand the Business Context
Familiarise yourself with eFinancialCareers and its marketplace. Be ready to explain how your analytical skills can directly impact their business goals, especially in terms of user journeys and conversion funnels.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled messy data challenges in the past. Highlight your approach to ensuring data integrity and how you’ve collaborated with teams to resolve issues.
✨Communicate Clearly and Effectively
Practice translating complex data concepts into actionable insights. During the interview, aim to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.