At a Glance
- Tasks: Analyse data, identify patterns, and improve AI outputs in a dynamic fintech environment.
- Company: Join a growing fintech business in Bristol focused on innovative AI products.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Collaborate with experienced engineers and develop your skills in a fast-paced setting.
- Why this job: Kickstart your career in data analysis while working with cutting-edge AI technology.
- Qualifications: Experience with data analysis, strong attention to detail, and a curiosity for AI.
The predicted salary is between 31050 - 37950 £ per year.
We're working with a growing fintech business in Bristol that is looking for a Data Analyst to join a newly developing team working on innovative AI products.
This is a great opportunity for someone who enjoys working with data, investigating problems and getting into the detail behind why something isn't working as expected. You'll be applying your analytical skills in an AI-focused environment, reviewing outputs, identifying patterns and inconsistencies, and working with engineers to improve the quality and reliability of the data and systems behind the product.
The role would suit someone early in their career who has a strong analytical background and is genuinely interested in AI. You don't need extensive commercial AI experience. What's most important is that you're curious, methodical and naturally analytical, with a real eye for detail and the confidence to question results and investigate when something doesn't look right.
What you'll be doing...
- Analysing and reviewing large volumes of data and AI-generated outputs
- Identifying errors, inconsistencies, anomalies and edge cases within outputs
- Investigating why outputs are incorrect and working to understand the root cause
- Testing outputs across different scenarios to assess accuracy and consistency
- Reviewing and improving data definitions and extraction logic
- Writing and refining prompts to improve the quality of AI-generated outputs
- Applying structured evaluation criteria to assess results and provide clear feedback
- Identifying trends and recurring issues through detailed analysis
- Working closely with software engineers and data specialists to investigate problems and improve the product
- Helping to develop processes and frameworks for evaluating data and AI outputs
- Clearly documenting findings and communicating insights to the wider team
- Continuously looking for ways to improve the accuracy, quality and reliability of the product
What we're looking for...
- Some experience working with data, whether professionally, academically or through personal projects
- Strong attention to detail and a methodical approach to analysing information
- The ability to spot patterns, inconsistencies and anomalies in data
- Strong problem-solving skills and a natural curiosity to understand why something has happened
- An interest in AI, machine learning or large language models
- The ability to work through complex information and draw clear, logical conclusions
- Strong written and verbal communication skills
- Comfortable working collaboratively with technical teams and learning from experienced engineers
- A willingness to learn and develop your technical skills in a fast-moving environment
Why this role?
You'll be joining a growing team at an exciting point in its development, working on real-world AI products alongside experienced technical professionals. The role offers the chance to build strong foundations in data analysis while gaining hands-on exposure to areas such as LLMs, prompt engineering, AI evaluation and data quality.
It's a great opportunity for someone who wants to start or develop their career in data and is interested in exploring how analytical skills can be applied to the rapidly evolving world of AI.
Location: Bristol, hybrid working with around 2 days per week in the office.
Data Analyst - Tableau, Power BI, SQL in Bristol employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
SR2 is an excellent employer, offering a dynamic work culture that values innovation and collaboration in the heart of Edinburgh. With a focus on employee growth, we provide opportunities for professional development and the chance to make a meaningful impact in government digital transformation projects. Our flexible part-time role allows for a balanced work-life integration while contributing to significant public sector initiatives.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Tableau, Power BI, SQL in Bristol
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We think you need these skills to ace Data Analyst - Tableau, Power BI, SQL in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at SR2 | Socially Responsible Recruitment | Certified B Corporation™, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
