At a Glance
- Tasks: Build data pipelines and deliver insights that drive business decisions.
- Company: Dynamic analytics team in a central London tech hub.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Inclusive culture with opportunities to influence data architecture.
- Why this job: Make a real impact in a high-impact role with broad ownership.
- Qualifications: Experience in data analysis, strong SQL, and Python skills.
The predicted salary is between 40000 - 50000 £ per year.
This is a fixed‑term contract and hybrid in central London with some great remote flexibility. This role sits across data engineering and analytics – ideal for someone who enjoys building robust data pipelines and delivering insights that influence real business decisions.
What you’ll be doing:
- Building and maintaining data integrations with internal platforms and third‑party APIs
- Developing and optimising ETL pipelines and data warehouse infrastructure
- Working with stakeholders to deliver dashboards, reports and financial insights (Power BI / Excel)
- Taking ownership of new data processes as the analytics estate scales
- Acting as a go‑to technical SME for the data platform
What we’re looking for:
- Experience working as a Data Analyst, Analytics Engineer or similar
- Strong SQL and experience with large, relational datasets
- Solid Python skills for data analysis and automation
- Experience designing or working with ETL workflows and data models
- Ability to communicate clearly with non‑technical stakeholders
Nice to have:
- Power BI or similar visualisation tools
- Azure data services experience
- Exposure to finance, lending or regulated environments
Why apply?
- High‑impact role in a scaling data function
- Broad ownership across the full data lifecycle
- Opportunity to influence architecture, tooling and best practice
- Inclusive, collaborative culture with room to grow
Data Analyst employer: Trust In SODA
Join a dynamic and inclusive team in central London as a Data Analyst, where you will have the opportunity to influence key business decisions through your insights. With a strong focus on employee growth and a collaborative work culture, this role offers the flexibility of hybrid working and the chance to take ownership of innovative data processes. Embrace the challenge of building robust data pipelines while enjoying the support of a company that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on a Data Analyst role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, and any cool insights you've delivered. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with ETL workflows. Practice explaining complex concepts in simple terms for non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that Data Analyst role!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Data Analyst or Analytics Engineer. We want to see how your skills in SQL, Python, and ETL workflows align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've built data pipelines or delivered insights. This helps us understand your hands-on experience and how you can contribute to our team.
Keep It Clear and Concise:When writing your application, be clear and to the point. We appreciate straightforward communication, especially when it comes to technical details that non-technical stakeholders might need to understand.
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 in our scaling data function!
How to prepare for a job interview at Trust In SODA
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects, especially when it comes to building data pipelines or working with large datasets. Having specific examples at hand will show that you’re not just familiar with the concepts but have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, particularly around ETL workflows or data integration. Think of a couple of scenarios where you identified a problem, implemented a solution, and what the outcome was. This will demonstrate your analytical thinking and ability to deliver insights that drive business decisions.
✨Communicate Like a Pro
Since this role involves liaising with non-technical stakeholders, practice explaining complex data concepts in simple terms. You might be asked to present a past project or explain a technical process, so being able to communicate clearly and effectively is key. Consider doing a mock presentation to a friend who isn’t in the field to get feedback.
✨Familiarise Yourself with the Company’s Data Landscape
Research the company’s data practices and any tools they use, like Power BI or Azure services. If you can, try to find out what kind of data challenges they might be facing. This will not only help you tailor your answers but also show your genuine interest in the role and the company’s operations.
