At a Glance
- Tasks: Own data quality, automate processes, and create insightful reports.
- Company: Dynamic startup-style team within a global data-driven organisation.
- Benefits: Competitive salary, bonus, excellent benefits, and hybrid work model.
- Other info: Opportunity for growth and tackling complex technical challenges.
- Why this job: Make a real impact on product quality and customer success in a collaborative environment.
- Qualifications: 3+ years as a Data Analyst with strong SQL and Python skills.
The predicted salary is between 40000 - 50000 £ per year.
We’re excited to be recruiting exclusively for a Data Analyst to join a startup-style team within a global, data-driven organisation. Think fast-moving, well-funded, plenty of autonomy, and a collaborative culture that’s committed to building innovative data products.
This is an excellent opportunity for someone who enjoys improving data quality, solving complex data challenges, automating processes, and working closely with both technical teams and customers to deliver accurate, trusted data.
A Typical Day-to-Day
Working across Engineering, Delivery and Customer Success, you’ll take ownership of data quality across customer integrations, ensuring operational and financial data is accurate, consistent and reliable.
Responsibilities include:
- Owning data quality across customer integrations, ensuring operational and financial data is accurate and consistent
- Using SQL and Python to investigate data issues, automate quality checks, and improve validation processes
- Working with Engineering to resolve data discrepancies and support platform integrations
- Creating client reports, supporting customer onboarding, and helping resolve data-related queries
- Documenting QA processes and driving best practice across the platform
We’re Looking For
- 3+ years’ experience as a Data Analyst in a SaaS, technology or enterprise environment
- Strong SQL skills, with Python for automation and data analysis
- Experience in data validation, QA and working with financial data
- Excellent analytical skills and attention to detail
- Confident working with both technical teams and customers
Nice to Have
- Experience with any of the following would be an advantage:
- SaaS or enterprise data environments
- Data integration or ETL processes
- Git or other version control tools
- Familiarity with semantic layer tools such as Cube or LookM
Why Apply?
You’ll be joining a highly collaborative team where your work directly influences product quality and customer success. This is a role where you’ll have genuine ownership, exposure to complex technical challenges, and the opportunity to make a visible impact as the platform continues to grow.
Data AnalystData Analyst in Bristol employer: Tria Recruitment
Join a leading FTSE 100 technology organisation as a D365 Consultant, where you will be part of an innovative team driving digital transformation in Finance and Operations. With a strong commitment to employee development, a collaborative work culture, and competitive benefits, this role offers you the opportunity to grow your career while making a meaningful impact in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data AnalystData Analyst in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tria Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data AnalystData Analyst at Tria Recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tria Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data AnalystData Analyst at Tria Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data AnalystData Analyst 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tria Recruitment, 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tria Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tria Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
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!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tria Recruitment!
✨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.
