At a Glance
- Tasks: Own and optimise data presentation layers for impactful reporting and analysis.
- Company: Join Accurx, a leader in transforming healthcare communication through data.
- Benefits: Competitive salary, share options, flexible perks, and free healthy meals.
- Other info: Collaborative culture with opportunities for mentorship and professional growth.
- Why this job: Shape the future of healthcare with data-driven insights and innovation.
- Qualifications: Experience in analytics or data engineering, strong SQL skills, and a passion for data.
The predicted salary is between 85000 - 105000 £ per year.
At Accurx, data is at the heart of our mission to transform healthcare communication. Our 2025 vision is clear: data won't just support decisions, it will shape strategy, spark innovation, and connect healthcare teams and patients through shared understanding. As we simplify our architecture and accelerate delivery, data will ensure that speed comes with direction, reducing decision friction and empowering smart, confident action.
Responsibilities
- Own and evolve the presentation layer of the data warehouse, optimizing databases, schemas, views, and tables to power accurate, efficient reporting and analysis.
- Design and maintain high-impact, self-serve data models that enable teams across the business to confidently make data-driven decisions.
- Partner with BI and Analytics teams to deeply understand reporting needs and deliver models that fuel actionable insights and compelling narratives.
- Continuously improve data model performance and warehouse design, making our data infrastructure faster, more scalable, and easier to use.
- Set and uphold standards for data quality, governance, and documentation, ensuring consistency, clarity, and trust in our data assets.
- Support strategic data initiatives, collaborating across teams to propose smart, scalable solutions and drive automation where it matters most.
- Champion self-serve analytics, training and empowering colleagues to confidently explore and use data via our BI tools.
- Mentor teammates, share knowledge, and contribute to a strong data culture through code reviews, planning, and open collaboration.
Qualifications
- Proven experience working as an Analytics Engineer or Data Engineer as part of a data team.
- Advanced skills in SQL, with the ability to write performant, well-documented, and easy-to-understand code.
- Strong understanding of data modelling best practices and database design.
- Experience adopting data engineering best practices like version control and using Git, and experience teaching others how to adopt them.
- Good knowledge of a modern programming language, including Python.
- Experience driving data self-service adoption across diverse teams.
- Comfortable working with PII, security best practices, and data governance frameworks.
- Ability to build and maintain multi-functional relationships and communicate effectively with stakeholders across the business.
- Thoughtful, pragmatic, and unafraid to challenge assumptions to move the team forward.
Benefits
- £85,000 - £105,000 salary plus the value of 30,000 share options.
- Access to Happl, a flexible benefits provider with a budget of £600 for perks of choice, including private health insurance, wellness providers, and more.
- Office-based presence: all Accurx employees are required to work from the Shoreditch office at least 3 days per week, with the option to work remotely 2 days per week.
- Allocated annual learning & development budget.
- Enhanced parental leave policy.
- Prayer, meditation and breastfeeding room.
- Working abroad policy.
- Company meals: free healthy breakfasts, snacks and lunches provided, with occasional sweet treats.
Senior Analytics Engineer employer: Accurx
Accurx is an exceptional employer for a Senior Analytics Engineer, offering a dynamic work culture that prioritises innovation and collaboration in transforming healthcare communication. With a strong commitment to employee growth through allocated learning budgets and a supportive environment that encourages self-serve analytics, Accurx empowers its team members to thrive while enjoying flexible working arrangements and a range of unique benefits, including free healthy meals and wellness perks. Located in the vibrant Shoreditch area, employees benefit from a creative atmosphere that fosters both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Accurx!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analytics Engineer at Accurx.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Accurx.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer at Accurx, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analytics Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Accurx, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Accurx. 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!
How to prepare for a job interview at Accurx
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Accurx!
✨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.
