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- Tasks: Create interactive dashboards and analyse complex healthcare datasets to empower decision-making.
- Company: Join Abtrace, a venture-backed company revolutionising primary care with advanced analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic, agile environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in healthcare by leveraging data to improve patient outcomes.
- 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.
Analytics Engineer employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen 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 visualisation prowess and analytical skills. Make sure to include real-world examples that highlight your impact!
✨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
Apply through our website! We love seeing candidates who are genuinely interested in joining us at Abtrace. Tailor your application to highlight how your skills align with our mission of improving healthcare through data. Let’s make a difference together!
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 match 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 decision-making and improve processes in previous roles.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or personal capacity, include them! We love seeing how you've applied your skills in real-world scenarios, especially with data visualisation and modelling.
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 WeAreTechWomen
✨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 tools, focusing on how you created dashboards or transformed data into insights.
✨Understand the Healthcare Context
Since the role is in a healthcare setting, brush up on relevant regulations like GDPR and ISO 27001. Be ready to talk about how you’ve ensured data quality and compliance in past roles, as this will show your understanding of the industry.
✨Showcase Your Collaboration Skills
This position requires working with cross-functional teams. Think of examples where you’ve successfully collaborated with stakeholders to gather requirements or align data solutions with business objectives. Highlight your communication skills!
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Prepare scenarios where you identified process improvements or tackled complex datasets, and be ready to explain your thought process and the impact of your solutions.