At a Glance
- Tasks: Manage and analyse data for healthcare projects, ensuring accuracy and quality.
- Company: Join a growing healthcare consultancy with a collaborative team spirit.
- Benefits: Competitive salary, hybrid working, private healthcare, and career progression.
- Other info: Enjoy ongoing training and a supportive work environment.
- Why this job: Make an impact in healthcare data while developing your expertise.
- Qualifications: 1-2 years in market research, strong Excel skills, and attention to detail.
The predicted salary is between 31500 - 38500 £ per year.
Data Management & Quality Executive
Love data? Obsessed with accuracy? This could be the role for you.
We're partnering with a growing healthcare consultancy that works with some of the world's leading organisations.
As the business continues to grow, they're looking for a Quant Data Executive to join their collaborative team.
This is an excellent opportunity for someone with 1-2 years of experience within Market Research who enjoys working with data, has strong Excel skills and takes pride in delivering work that's accurate, organised and audit-ready.
- 🚀 What you'll be doing
- Building and maintaining structured Excel workbooks for quantitative research projects.
- Creating cross-tabulations and summary tables.
- Performing detailed quality checks across Excel, Word and Power Point deliverables.
- Validating figures, percentages and statistics against source data.
- Identifying and resolving discrepancies before reports are released.
- Supporting quantitative data analysis using Excel and SPSS.
- Maintaining robust version control and clear audit trails.
- Contributing to continuous improvements in data management and quality processes.
- Developing knowledge of healthcare regulations and Real World Data collection.
- 🎯 About you
- Ideally a numerate or scientific subject degree
- Advanced Excel skills, including formulas, pivot tables and data validation.
- Excellent numerical and analytical skills.
- Exceptional attention to detail with a methodical approach.
- Strong organisational skills and the ability to manage multiple priorities.
- Experience with SPSS or similar statistical software is desirable.
- 1-2 years experience in data management and market research
- Experience within healthcare
🌟 What's on offer?
- Annual salary reviews
- Bonus scheme (typically 5–10%)
- Hybrid working (around 3 days from home)
- Private healthcare
- Matched pension contributions up to 5%
- 25 days' holiday plus bank holidays
- Ongoing training and genuine career progression within a growing specialist business
If you're looking for a role where precision matters, your work makes an impact and you can build specialist expertise in healthcare data, we'd love to hear from you.
Quant Data Executive in London employer: Albion Rye Associates
As a leading healthcare insights and research consultancy, this company offers an exceptional work environment that fosters innovation and professional growth. With a strong focus on employee autonomy and a hybrid or remote working model, team members enjoy the flexibility to balance their personal and professional lives while contributing to impactful global healthcare research. The company is committed to nurturing talent, providing clear pathways for progression into executive leadership roles, making it an attractive employer for those seeking meaningful and rewarding careers in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Data Executive in London
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We think you need these skills to ace Quant Data Executive in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Albion Rye Associates, 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 Albion Rye Associates. 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 Albion Rye Associates
✨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!
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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 Albion Rye Associates!
✨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.