At a Glance
- Tasks: Ensure data accuracy and structure through meticulous quality checking in Excel.
- Company: Join a supportive team focused on data integrity and quality control.
- Benefits: Enjoy a competitive salary, bonus, healthcare, and hybrid working options.
- Other info: Great opportunity for growth in a structured, detail-driven environment.
- Why this job: Perfect for detail-oriented individuals who love working with data and ensuring precision.
- Qualifications: Must have advanced Excel skills and a QC mindset for data accuracy.
The predicted salary is between 28000 - 30000 £ per year.
We’re hiring a Data Management & QC Executive to support quantitative research projects. This is a hands‑on, delivery‑focused role centred on Excel, data structuring, and quality checking.
If you enjoy accuracy, structure, and methodical checking, this role is for you. If you want Python, SQL, dashboards, modelling, or BI, this role is not for you.
What You Will Do- Build and maintain structured Excel workbooks containing raw data, summary tables and cross‑tabulations
- Produce clean, well‑organised tabulations to agreed specifications
- QC every figure, percentage and base size against source data and final deliverables
- Reconcile data across Excel, Word and PowerPoint
- Maintain version control, naming conventions and a clear audit trail
- Support basic quantitative analysis (Excel + SPSS)
- Contribute to continuous improvement of data management and QC processes
- QC mindset — you enjoy checking data line‑by‑line and ensuring 100% accuracy
- Advanced Excel‑only workflows — structured workbooks, tabulations, formulas, pivots
- Comfort with repetitive checking — this role is about precision, not modelling
- Confidence with percentages, base sizes, and structured data
- Ability to maintain version control and naming conventions
- Survey data, cross‑tabs, or SPSS
- Market research operations or data processing
- QC, audit‑trail or data integrity roles
- Numerate degree (science, maths, economics, psychology, etc.)
This role does not involve:
- Python
- SQL
- Power BI
- Tableau
- Machine learning
- Modelling
- Forecasting
- Dashboards
- Data engineering
- Commercial analytics
If your background is BI, data science, economics, or advanced analytics, this role will not be the right fit.
Package & Working Style- £28,000–£30,000 salary
- Bonus scheme
- Healthcare
- Pension
- Hybrid working (approx. 3 days WFH)
- Supportive, detail‑driven team culture
- Junior MR Data Processing
- Excel‑heavy graduate roles
- QC‑oriented operations
- Clinical data coordination
- Structured data integrity roles
Junior QC Data Executive in Slough employer: Charles Moore Associates
As a leading international insights organisation, we pride ourselves on fostering a dynamic and supportive work culture that empowers our employees to excel in their roles. With a hybrid working structure and a focus on professional development, our Senior Qualitative Project Manager will have the opportunity to lead high-profile projects while enjoying a collaborative environment that values innovation and continuous improvement. Join us to be part of a growing team where your contributions are recognised and rewarded, and where you can advance your career in qualitative research across multiple markets.
StudySmarter Expert Advice🤫
We think this is how you could land Junior QC Data Executive in Slough
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We think you need these skills to ace Junior QC Data Executive in Slough
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 Charles Moore 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 Charles Moore 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 Charles Moore 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!
✨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 Charles Moore 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.
