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For Companies At a Glance
- Tasks: Develop finance-focused data pipelines and build models for revenue and cost analysis.
- Company: Dynamic fintech company with a focus on data-driven insights.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with a quick interview process.
- Why this job: Make an impact from day one by shaping financial data solutions.
- Qualifications: 5-8 years in data analytics, strong SQL and Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
I am looking for a passionate data analyst who can bridge the gap between finance and technology to deliver data-driven insights. It is a very dynamic team where you will have an impact from day 1 in helping build automated, reliable financial data solutions that power strategic decisions.
What You’ll Do
- Develop and maintain finance-focused data pipelines and integrate financial systems with company data sources.
- Build finance-specific data models for revenue, margin, and cost analysis.
- Partner with FP&A and product data teams to ensure accurate and consistent reporting.
- Automate workflows and support finance system integrations.
- Design dashboards and analyses to enable key financial and business decisions.
- Maintain governance, documentation, and quality standards for financial datasets.
What We’re Looking For
- 5–8 years in data engineering, analytics engineering, or BI roles (fintech or SaaS preferred).
- Strong SQL and Python skills; experience with ETL/ELT tools are essential for this role (dbt).
- Familiarity with data warehousing and BI tools.
- Ability to translate finance requirements into technical solutions.
- Strong understanding of financial concepts (P&L, cash flow, reconciliations, loan portfolios).
- Degree in computer science, data engineering, or related technical field.
- Experience integrating finance/business systems (ERP, billing, payments) is a plus.
3 stage interview process that will move quickly. Apply now and help them shape the future of data-driven decision-making.
Lead Data Analyst employer: Movement8
Contact Detail:
Movement8 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work with data. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do right from the get-go.
✨Tip Number 3
Prepare for the interview by brushing up on financial concepts. Be ready to discuss how you can bridge finance and tech, as this is key for the role. Practice explaining complex data solutions in simple terms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Analyst
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data analysis and fintech shine through. We want to see that you’re not just ticking boxes but genuinely excited about bridging finance and technology.
Tailor Your Experience: Make sure to highlight your relevant experience in data engineering and analytics. We’re looking for someone with 5-8 years in the field, so be specific about how your skills in SQL, Python, and ETL/ELT tools like dbt align with our needs.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on how your past work has prepared you for this role. Remember, we want to understand your impact from day one!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity to shape data-driven decision-making.
How to prepare for a job interview at Movement8
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in a fintech context. They’ll want to see how you’ve built data pipelines or automated workflows, so have some examples at the ready!
✨Understand Financial Concepts
Since this role bridges finance and technology, it’s crucial to have a solid grasp of financial concepts like P&L, cash flow, and reconciliations. Prepare to explain how you’ve applied these concepts in your previous roles, as this will show your ability to translate finance requirements into technical solutions.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. They might ask how you would approach building a finance-specific data model or integrating financial systems. Think through your problem-solving process and communicate it clearly; they want to see your analytical thinking in action!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current data challenges or how they envision the role evolving. This shows your genuine interest in the position and helps you gauge if the company is the right fit for you.