At a Glance
- Tasks: Control data quality and manage structured datasets for exciting healthcare projects.
- Company: Dynamic market research firm focused on pharmaceuticals and healthcare.
- Benefits: Up to £30k salary, hybrid work, and opportunities for professional growth.
- Other info: Flexible role with a focus on personal development and career progression.
- Why this job: Join a passionate team and make a real impact in healthcare data management.
- Qualifications: Advanced Excel and SPSS skills with strong attention to detail.
The predicted salary is between 40000 - 50000 £ per year.
Are you a junior data candidate used to controlling the quality of data for your clients? Then you could be the perfect fit for this agency in this flexible data role!
THE COMPANY
We are representing a privately owned specialist market research firm serving the pharmaceutical and healthcare sectors, including diagnostics, digital health, and precision medicine. The company helps clients at every stage, from early concept testing to post-market clinical data collection, delivering projects worldwide through an experienced, dedicated team.
They are currently looking to bring on a passionate Data Executive, you will be integral to the end-to-end delivery of mixed methods projects.
KEY DUTIES
- Built structured Excel workbooks, producing accurate cross-tabulations and summary tables with rigorous quality control throughout projects.
- Quality-checked Excel, SPSS and PowerPoint outputs, reconciling figures, percentages and base sizes against source data.
- Improved data management processes, maintaining audit trails, version control and developing medical device and real-world data knowledge.
SKILLS & EXPERIENCE
- Advanced Excel and SPSS skills, confidently managing structured datasets, complex formulas, pivot tables and cross-tabulations accurately.
- Exceptional attention to detail, reconciling data across formats with strong organisational skills and consistent quality standards.
- Strong analytical and numerical abilities, interpreting complex survey data while managing multiple deadlines with excellent English communication.
Data Executive employer: WeAreAspire
WeAreAspire is an exceptional employer that fosters a dynamic and entrepreneurial work environment, perfect for those passionate about travel and technology. With a focus on employee growth, we offer opportunities to enhance your skills in SEO and content strategy while working in the vibrant city of London. Our commitment to innovation and collaboration ensures that every team member can make a meaningful impact on our global audience.
StudySmarter Expert Advice🤫
We think this is how you could land Data Executive
✨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 WeAreAspire!
✨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 Data Executive at WeAreAspire.
✨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 WeAreAspire.
✨Apply Directly through Our Website
When you find a suitable opening like Data Executive at WeAreAspire, 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 Data Executive
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 WeAreAspire, 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 WeAreAspire. 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 WeAreAspire
✨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 WeAreAspire!
✨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.
