At a Glance
- Tasks: Own data analysis, improve structure, and support evidence-led decisions.
- Company: Fast-growing healthcare organisation with a focus on data innovation.
- Benefits: Fully remote work, career progression, and the chance to shape data strategy.
- Other info: Join at the start of an exciting data journey with growth potential.
- Why this job: Be the go-to data expert in the UK and make a real impact.
- Qualifications: Strong SQL skills and experience in data analytics or business intelligence.
The predicted salary is between 35000 - 42000 £ per year.
Fully remote, UK
Employment Type: Permanent
We are partnered with a fast-growing organisation operating within a highly regulated healthcare sector that is looking to make its first dedicated UK data hire.
Data currently sits across several different systems, with reporting and analysis relying heavily on manual spreadsheet processes. The business is now investing in building a more reliable data foundation that will provide greater visibility across customer journeys, operational performance and clinical outcomes.
As Data Analyst, you will take ownership of bringing this data together, improving its structure and helping senior stakeholders make better, evidence-led decisions. You will receive guidance from an established global data function, but you will operate as the standalone data specialist for the UK business.
- Bringing together data from multiple systems to create a clear and reliable view of operational performance
- Building and maintaining data models and pipelines using SQL, with the opportunity to work with Snowflake and dbt
- Developing dashboards and reporting that provide visibility across customer journeys, conversion funnels and business performance
- Working with stakeholders to understand their requirements and translate business questions into practical data solutions
- Improving data quality, consistency and categorisation across the organisation
- Helping define how data should be structured, governed and used across the UK business
Strong hands-on SQL skills and the confidence to work directly within the data layer. Experience building or supporting data pipelines, rather than working solely on dashboards and visualisation. Exposure to Snowflake, dbt or similar modern data technologies would be highly advantageous. Experience with a visualisation platform such as Power BI, Tableau or Looker. Approximately one to three years of commercial experience within data analytics, business intelligence or a similar role. Comfortable working within a regulated or data-sensitive environment.
Define how data is structured and used without having to navigate significant legacy infrastructure. Become the dedicated data specialist for the UK organisation and take responsibility for meaningful business outcomes.
Meaningful data: Career progression: Join at the beginning of the organisation’s UK data journey, with the potential to help shape and eventually grow a broader data function. This role would suit an ambitious early-career Data Analyst who has developed strong technical foundations and is now looking for the opportunity to take genuine ownership of a data capability.
Data Analyst SQL Python Tableau in Leeds employer: Burns Sheehan
Burns Sheehan offers an exceptional work environment in Oxford, where innovation meets collaboration. As a Platform Engineer, you will not only tackle unique engineering challenges but also benefit from a culture that prioritises employee growth and development. With access to cutting-edge technology and a commitment to making a visible impact in the robotics field, this role provides a rewarding opportunity for those looking to thrive in a high-growth technology landscape.
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We think this is how you could land Data Analyst SQL Python Tableau in Leeds
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We think you need these skills to ace Data Analyst SQL Python Tableau in Leeds
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Burns Sheehan. 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!
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✨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!
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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!
✨Get Comfortable with Python and R
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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.
