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- Tasks: Create interactive dashboards and analyse healthcare datasets to empower decision-making.
- Company: Venture-backed company revolutionising primary care with advanced analytics.
- Benefits: Competitive pay, flexible work, and ongoing professional development in data technologies.
- Other info: Join a dynamic team focused on innovation and learning.
- Why this job: Make a real impact on healthcare outcomes while working in a collaborative environment.
- Qualifications: Proficient in SQL, Power BI, and data engineering; experience in healthcare is a plus.
The predicted salary is between 50000 - 65000 £ per year.
Abtrace is a venture-backed company building software to support primary care teams in making proactive health interventions. Our product detects signals of deterioration, early onset of disease, and opportunities for preventative care across 500+ practices covering 6 million patients. We leverage advanced analytics, intuitive data visualisations, and robust data pipelines to inform critical business decisions and shape the future of healthcare.
We are seeking a multi-talented professional to blend business intelligence, data analysis, and visualisation with data engineering. You will create interactive dashboards, analyse complex healthcare datasets, and build scalable data models using Power BI, SQL, and modern data tooling — helping empower decision-making across the organisation.
Key Responsibilities- Develop and maintain Power BI dashboards, reports, and interactive visualisations to support business decision-making.
- Design and implement data models that enable efficient reporting and analytics, ensuring high data quality and integrity.
- Collaborate with stakeholders to gather requirements, define metrics, and translate business needs into technical solutions.
- Work closely with cross-functional teams (product, operations, clinical) to align data solutions with business objectives and healthcare regulatory standards.
- Monitor data quality and governance to ensure compliance with healthcare data security and privacy requirements.
- Identify process improvement opportunities to enhance data accessibility, performance, and reliability.
- Strong proficiency in SQL, including complex queries and performance optimisation.
- Knowledge of Python for scripting and automation.
- Experience with Power BI, including dashboards, visualisations, data models, and transformations.
- Hands-on experience with data modelling and transforming large datasets into insights.
- Experience with data engineering: pipelines, ETL processes, and data warehousing.
- Working knowledge of cloud platforms (AWS, Azure, GCP) and related tools.
- Familiarity with database design, administration, and performance tuning.
- Familiarity with best practices for data visualisation and UX design.
- Background or experience in healthcare, clinical systems, or regulatory environments (e.g., ISO 27001, GDPR).
- Comfortable working in an agile environment with changing priorities.
Some candidates only apply when they meet 100% of the criteria – we encourage you to apply if you meet most of them.
Benefits- Competitive compensation.
- Opportunity to make a meaningful impact on healthcare outcomes.
- Collaborative, inclusive culture focused on learning and innovation.
- Ongoing professional development in emerging data technologies.
- Flexible working with a commitment to work-life balance.
Analytics Engineer employer: Abtrace
Contact Detail:
Abtrace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare and analytics space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and SQL projects. This is your chance to demonstrate your data wizardry and how you can turn complex datasets into actionable insights. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for those interviews! Research common questions for Analytics Engineers and practice your responses. Be ready to discuss your experience with data modelling, ETL processes, and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us at Abtrace. Tailor your application to highlight how your skills align with our mission in healthcare – it’ll make you stand out!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Analytics Engineer role. Highlight your proficiency in SQL, Power BI, and any relevant data engineering experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about healthcare analytics. Share specific examples of how you've used data to drive decisions or improve processes in previous roles.
Showcase Your Projects: If you've worked on any projects involving data visualisation or analytics, don’t hesitate to include them! We love seeing real-world applications of your skills, especially if they relate to healthcare.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Abtrace
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and any other tools mentioned in the job description. Prepare to discuss specific projects where you've used these technologies, showcasing your ability to create dashboards and data models.
✨Understand the Healthcare Context
Familiarise yourself with the healthcare industry, especially around data privacy regulations like GDPR and ISO 27001. Being able to speak knowledgeably about how your work can impact patient care will set you apart from other candidates.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've identified process improvements in past roles. Think of examples where your analytical skills led to better data accessibility or performance, as this aligns perfectly with the role's responsibilities.
✨Prepare for Collaboration Questions
Since the role involves working with cross-functional teams, prepare examples that demonstrate your ability to gather requirements and translate business needs into technical solutions. Highlight your communication skills and adaptability in an agile environment.