At a Glance
- Tasks: Analyse data to ensure accuracy and provide insights that drive business decisions.
- Company: Join RMG, a forward-thinking company focused on data-driven solutions.
- Benefits: Enjoy 27 days holiday, free healthcare cashback, and flexible working options.
- Other info: Inclusive workplace with opportunities for professional development and career growth.
- Why this job: Make a real impact by turning data into meaningful tools for the business.
- Qualifications: Experience in data analysis, advanced Excel skills, and strong attention to detail.
The predicted salary is between 35000 - 45000 £ per year.
At RMG, data helps us make smarter decisions, improve customer experiences and drive positive change across our business.
We are looking for an experienced Data Integrity Analyst to join our growing team and help turn information into meaningful tools to accurately maintain data.
Responsibilities and duties
Work closely with stakeholders across the organization to understand challenges, answer key business questions, and provide data‑driven recommendations.
Use dashboards and reports to focus on data integrity and ensure all data is accurate, enabling smooth business processes.
Provide regular feedback to team leaders and managers on recurring errors or training needs identified through data analysis.
Deliver actionable results that shape business performance.
Qualifications
- Experience working as an Insight Analyst or in a similar analytical role focused on data integrity.
- Advanced Excel skills and experience querying large datasets.
- Experience using Power BI dashboards and creating or using AI agents.
- Excellent analytical, problem‑solving and communication skills, with a track record of resolving data‑related problems.
- Strong attention to detail and a commitment to maintaining data quality and integrity.
- Ability to present complex findings to a range of stakeholders in a clear and engaging way.
- Experience gathering and translating business requirements into meaningful analytical outputs.
- Experience working with finance‑related data sets (beneficial).
- Understanding of project delivery methodologies and stakeholder engagement within project environments (beneficial).
- Knowledge of data management principles, governance and information systems (beneficial).
Benefits
- 27 days holiday plus all Bank Holidays
- Free healthcare cashback plan covering optical treatment, dental care, physiotherapy and GP charges (generous fixed amount)
- 24/7 access to remote GP services
- Sponsorship for study and professional qualifications (up to 4 study days)
- Pension scheme matched up to 7%
- Life assurance 4× annual salary
- Places for People group rewards: shopping discounts, in‑store vouchers, reloadable e‑cards, cashback on online purchases, exclusive offers
- Flexible working options – reduced hours, flexible start/finish times or compressed hours.
- Working hours and location
5 days per week, based out of Hoddesdon (EN11 0DR). 37.5 hours per week, Monday to Friday.
Equal Opportunity and Accessibility
We are committed to creating an inclusive and accessible recruitment process.
All candidates, including disabled, neurodiverse, and armed forces veterans, are guaranteed an interview if they meet the essential criteria.
Reasonable adjustments are available to support your application or interview experience.
#J-18808-Ljbffr
Data Integrity Analyst in Rye employer: Residential Management Group (RMG)
At Places for People, we pride ourselves on fostering a supportive and inclusive work culture that prioritises employee well-being and growth. As a Live-In Porter at Windsor Court, you'll enjoy the unique advantage of living on-site in a provided two-bedroom flat, allowing you to fully engage with our community while ensuring safety and maintenance standards are upheld. With opportunities for professional development and a commitment to diversity, we empower our employees to thrive in their roles and make a meaningful impact.
Contact Details:
Residential Management Group (RMG) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Integrity Analyst in Rye
✨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 Residential Management Group (RMG)!
✨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 Integrity Analyst at Residential Management Group (RMG).
✨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 Residential Management Group (RMG).
✨Apply Directly through Our Website
When you find a suitable opening like Data Integrity Analyst at Residential Management Group (RMG), 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 Integrity Analyst in Rye
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 Residential Management Group (RMG), 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 Residential Management Group (RMG). 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 Residential Management Group (RMG)
✨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 Residential Management Group (RMG)!
✨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.