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- Tasks: Create interactive dashboards and analyse healthcare datasets to empower decision-making.
- Company: Venture-backed company transforming healthcare with advanced analytics.
- Benefits: Competitive pay, flexible working, and ongoing professional development.
- Other info: Join a collaborative culture focused on learning and innovation.
- Why this job: Make a real impact on healthcare outcomes while working with cutting-edge data technologies.
- Qualifications: Proficient in SQL, Power BI, and data engineering; experience in healthcare is a plus.
The predicted salary is between 45000 - 55000 £ 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're seeking a multi-talented professional to blend business intelligence, data analysis, and visualisation with data engineering. You'll 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.
Think you're almost the right fit? 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 in London employer: Abtrace Limited
Contact Detail:
Abtrace Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in London
✨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
Tailor your approach! When you find a role that excites you, customise your pitch. Highlight your experience with data modelling and visualisation, and explain how you can help Abtrace make a difference in healthcare. Make it personal and relevant!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us. Let’s get you on board!
We think you need these skills to ace Analytics Engineer in London
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 relevant projects, whether in a professional setting or as personal endeavours, include them! We love seeing how you've applied your skills in real-world scenarios, especially in healthcare contexts.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at Abtrace Limited
✨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 experience in agile environments to show you're adaptable.