At a Glance
- Tasks: Review KPI performance and validate data quality for a healthcare project.
- Company: Join Project Blackbook, a leader in healthcare data solutions.
- Benefits: Flexible hybrid work model and competitive contract rates.
- Other info: Opportunity for extended engagement with potential career growth.
- Why this job: Make a real impact on healthcare data governance across multiple markets.
- Qualifications: Strong analytical skills and experience in data assurance required.
The predicted salary is between 51750 - 63250 £ per year.
Project Blackbook is seeking a Data Assurance consultant on a contract basis to support a healthcare data project in a hybrid London setup.
You will review KPI performance across 10-15 markets, validate reported results and assess data quality to ensure reliable governance foundations for future strategies.
The role requires strong analytical skills, experience in data assurance and performance reporting and the ability to operate as an independent consultant on a potentially extended engagement.
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KPI & Data Quality Assurance Consultant (Hybrid London) employer: Project Blackbook
Project Blackbook is an exceptional employer that fosters a dynamic and entrepreneurial work culture, perfect for recruitment professionals eager to make an impact in the tech industry. With a highly competitive commission structure and the opportunity for equity options based on performance, employees are encouraged to grow and innovate within a supportive environment. Located in the UK, we prioritise collaboration and personal development, making it an ideal place for those looking to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land KPI & Data Quality Assurance Consultant (Hybrid London)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Project Blackbook before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Project Blackbook.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Project Blackbook.
We think you need these skills to ace KPI & Data Quality Assurance Consultant (Hybrid London)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Project Blackbook, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Project Blackbook, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Project Blackbook’s attention and show the tangible impact of your work.
How to prepare for a job interview at Project Blackbook
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Project Blackbook.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Project Blackbook.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Project Blackbook.
