At a Glance
- Tasks: Transform finance processes by automating reporting and building data-driven solutions.
- Company: Join a dynamic MedTech company focused on innovation and efficiency.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and automation.
- Why this job: Make a real impact in finance while working with cutting-edge technology.
- Qualifications: Finance experience with strong skills in SQL, Python, and Power BI.
The predicted salary is between 50000 - 60000 £ per year.
Remote (London offices) – Permanent – High-impact role transforming FP&A processes
Are you a finance professional with strong technical skills looking to improve how finance operates? Do you enjoy turning manual processes into scalable, reliable solutions?
We’re hiring for a Finance Data Analyst to join a MedTech business in a newly created role within FP&A.
You’ll sit within the finance team—working closely with FP&A, commercial finance, and senior leadership—to automate core processes and remove manual effort from the reporting cycle. It’s a hands-on role where you’ll build solutions that directly improve how finance operates, while giving the wider team more time to focus on insight and decision support.
- Experience working within or closely alongside an FP&A or commercial finance team
- Proven track record of building automation solutions in a finance environment
- Develop data-driven frameworks for variance analysis and commentary
- Own and develop FP&A dashboards using Power BI
- Improve data flows between ERP systems, planning tools, and reporting outputs
- Identify and resolve data quality issues at source
- Map existing manual processes and prioritise automation opportunities
- Partner with FP&A, commercial finance, and senior stakeholders to gather requirements
- Lead user adoption of new tools through training and documentation
- Drive continuous improvement across finance through automation initiatives
- Support longer-term development of systems and planning tools
Qualified Accountant (ACA, ACCA, CA, CIMA) or relevant degree with strong finance experience
Good working knowledge of MS Excel
Hands-on experience with Power BI, including data modelling and DAX
Experience using Python, VBA, or similar to automate finance processes
Remote working (with access to London office) ~ Permanent position ~ Opportunity to shape automation across the finance function
Financial Data Analyst with SQL and Python in City of London employer: We Do Group
Contact Detail:
We Do Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Analyst with SQL and Python in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Let them know you're on the lookout for a Financial Data Analyst role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automation projects, especially those involving SQL and Python. This will give potential employers a clear idea of what you can bring to the table and how you can transform their FP&A processes.
✨Tip Number 3
Prepare for interviews by brushing up on common finance and data analysis questions. Be ready to discuss your experience with Power BI and how you've improved data flows in previous roles. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We’re always looking for talented individuals like you to join our team. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Financial Data Analyst with SQL and Python in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Financial Data Analyst. Highlight your experience with automation solutions and any relevant technical skills like SQL and Python. We want to see how you can transform finance processes!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about improving finance operations and how your background aligns with our needs. Let us know how you can contribute to our FP&A team!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like Power BI and Excel. We’re looking for someone who can hit the ground running, so be specific about your achievements in automating finance processes.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at We Do Group
✨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 to automate processes or improve data flows. Having concrete examples will show that you can apply your technical knowledge in a finance context.
✨Understand FP&A Processes
Familiarise yourself with financial planning and analysis (FP&A) processes. Research common challenges faced by FP&A teams and think about how your skills can help solve them. This will demonstrate your understanding of the role and your ability to contribute from day one.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've identified and resolved data quality issues in the past. Think of specific instances where you mapped out manual processes and prioritised automation opportunities. This will highlight your proactive approach and analytical mindset.
✨Engage with Stakeholders
Be ready to talk about your experience working with senior leadership and cross-functional teams. Share examples of how you've gathered requirements and led user adoption of new tools. This will showcase your communication skills and ability to drive change within an organisation.