At a Glance
- Tasks: Analyse and maintain high-quality sales and compensation data for accurate reporting.
- Company: Join a dynamic team focused on data integrity and continuous improvement.
- Benefits: Enjoy flexible hours, well-being initiatives, and opportunities for study assistance.
- Other info: Collaborate with diverse teams and enhance your career in a supportive environment.
- Why this job: Make a real impact by ensuring data accuracy and supporting critical business processes.
- Qualifications: Experience with large datasets, advanced Excel skills, and knowledge of SQL or Python.
The predicted salary is between 35000 - 45000 £ per year.
Our team supports the accuracy and integrity of sales and compensation data across the organization. We work closely with Sales Operations, Finance, and technology partners to ensure data is reliable, well controlled, and ready for critical reporting and payout cycles. The team focuses on continuous improvement, strengthening data quality, increasing automation, and reducing risk through clear processes, collaboration, and shared accountability. This role focuses on building, validating, and maintaining high‑quality participant‑level data that underpins sales compensation outcomes. You will work across sales, finance, and technology partners to ensure data is accurate, auditable, and ready for payout cycles. The role plays a key part in improving automation, reducing manual effort, and strengthening stakeholder confidence in compensation data.
Responsibilities
- Ingest and consolidate large datasets from Sales Operations, Finance, and CRM systems
- Map transactions and performance metrics to sales participants
- Own data quality controls, reconciliation processes, and audit trails
- Ensure accurate attribution of revenue, quotas, credits, overlays, and splits
- Prepare validated datasets to support compensation payout cycles
- Investigate and resolve data discrepancies and support audits
- Build reporting to track data accuracy, readiness, trends, and risks
- Review end‑to‑end processes to identify inefficiencies and implement automation and standardisation
Qualifications
- Strong experience working with large, complex datasets
- Advanced Excel skills for analysis, reconciliation, and validation
- Experience in analytics, sales compensation, or related data operations
- Ability to perform root‑cause analysis and solve data quality issues
- Clear communication skills to work with technical and non‑technical stakeholders
- Experience preparing data for financial or compensation processes
- Knowledge of SQL or Python
- Familiarity with compensation platforms, CRM systems, and data visualisation tools
Benefits
- Flexible hours and ability to tailor your working pattern to be most productive
- Well‑being initiatives to support work/life balance
- Shared parental leave, study assistance, and sabbaticals
Data Analyst employer: RELX Group
As a Data Analyst at our company, you will thrive in a collaborative environment that prioritises data integrity and continuous improvement. We offer flexible working hours, well-being initiatives, and opportunities for professional growth, ensuring that you can balance your career with personal commitments while contributing to meaningful projects that enhance stakeholder confidence in compensation data.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨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 RELX Group!
✨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 Analyst at RELX Group.
✨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 RELX Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at RELX Group, 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 Analyst
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 RELX Group, 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 RELX Group. 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 RELX Group
✨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 RELX Group!
✨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.
