Data Analyst SQL Python Tableau in Glasgow

Data Analyst SQL Python Tableau in Glasgow

Glasgow Full-Time 30000 - 40000 € / year (est.) No home office possible
Venesky Brown

At a Glance

  • Tasks: Support innovative projects by delivering data-driven solutions to improve patient outcomes.
  • Company: Public sector organisation in Glasgow with a focus on healthcare innovation.
  • Benefits: Flexible working from home and the office, competitive pay, and professional development opportunities.
  • Other info: Opportunity for career growth in a dynamic environment focused on health data science.
  • Why this job: Make a real difference in healthcare through impactful statistical analysis and innovative projects.
  • Qualifications: Degree in statistics or related field; experience in statistical analysis and project delivery.

The predicted salary is between 30000 - 40000 € per year.

Venesky-Brown’s client, a public sector organisation in Glasgow, is currently looking to recruit a LaunchPad Statistician for an initial 12 month contract. This role will be a mix of working from home and the office.

Play a key role in supporting a diverse portfolio of innovation projects, contributing to the design, delivery, and evaluation of data-driven solutions that improve patient outcomes, service efficiency, and system sustainability.

  • Provide expert statistical input across the full project lifecycle.
  • Responsible for developing robust statistical analysis plans aligned to project objectives, applying appropriate quantitative methodologies, and ensuring outputs are accurate, reproducible, and compliant with relevant governance frameworks.
  • Degree in statistics, mathematics, or data science.
  • Experience delivering statistical analysis across multiple projects or a programme/portfolio.
  • Producing statistical analysis plans, reports, dashboards, or publications.
  • Experience with data linkage and working within Trusted Research Environments.
  • Evidence of continued professional development in areas such as health data science and project methodology.
  • Postgraduate qualification (MSc/PhD) in statistics, public health, or a relevant discipline.
  • Knowledge of AI/ML approaches and their application in healthcare.

Data Analyst SQL Python Tableau in Glasgow employer: Venesky Brown

Venesky-Brown is an exceptional employer, offering a dynamic work environment in Glasgow that fosters innovation and collaboration. With a strong commitment to employee development, the organisation provides opportunities for professional growth through continued education and involvement in impactful projects that enhance patient outcomes. The blend of remote and office work allows for flexibility while being part of a mission-driven team dedicated to improving healthcare services.

Venesky Brown

Contact Detail:

Venesky Brown Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst SQL Python Tableau in Glasgow

Tip Number 1

Network like a pro! Reach out to professionals in the healthcare data field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your best work with SQL, Python, and Tableau. We recommend including real-world projects or case studies that highlight your statistical analysis prowess.

Tip Number 3

Prepare for interviews by brushing up on common data analysis scenarios. We suggest practising how you’d approach specific problems related to patient outcomes and service efficiency, as these are hot topics in the public sector.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to stay updated on new roles tailored to your skills.

We think you need these skills to ace Data Analyst SQL Python Tableau in Glasgow

Statistical Analysis
Data Science
Quantitative Methodologies
Statistical Analysis Plans
Data Linkage
Trusted Research Environments
Health Data Science

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the job description. Highlight your experience with statistical analysis, data science, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit. Don’t forget to mention any experience with healthcare data or AI/ML approaches.

Showcase Your Projects:If you've worked on any relevant projects, make sure to showcase them in your application. Whether it's dashboards, reports, or statistical analysis plans, we love seeing real examples of your work!

Apply Through Our Website:We encourage you to apply through our website for a smoother 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 Venesky Brown

Know Your Stats

Brush up on your statistical knowledge and methodologies. Be ready to discuss how you've applied these in past projects, especially in relation to health data science. This will show that you can provide expert input across the project lifecycle.

Showcase Your Projects

Prepare to talk about specific projects where you've developed statistical analysis plans or dashboards. Highlight your role in improving patient outcomes or service efficiency, as this aligns with what the organisation is looking for.

Familiarise with Governance Frameworks

Understand the relevant governance frameworks related to statistical outputs. Be prepared to discuss how you ensure compliance and accuracy in your work, as this is crucial for the role.

Stay Updated on AI/ML Trends

Since knowledge of AI/ML approaches is a plus, make sure you're aware of current trends and applications in healthcare. Bring examples of how these technologies can enhance data-driven solutions to the table during your interview.