At a Glance
- Tasks: Ensure data accuracy and integrity across online and retail operations while collaborating with various teams.
- Company: Join a leading company in the gaming industry focused on data excellence.
- Benefits: Competitive salary, hybrid working, private medical insurance, and generous bonus scheme.
- Other info: Opportunities for professional development and a supportive work culture.
- Why this job: Make a real impact by improving data quality and driving business success.
- Qualifications: Strong SQL and Excel skills, analytical mindset, and experience with large datasets.
The predicted salary is between 30000 - 40000 £ per year.
As a Data Integrity Analyst, you will be responsible for ensuring the accuracy, consistency, completeness and reliability of data across our Online and Retail business operations. You will play a key role in maintaining trust in operational, customer, financial and regulatory reporting by proactively identifying, investigating and resolving data quality issues. Working closely with Analytics, Product, Technology, Retail Operations, Finance, Compliance and Customer teams, you will support the implementation of data quality controls, reconciliation processes and governance frameworks that ensure business‑critical data remains accurate and fit for purpose.
The role requires strong analytical skills, attention to detail and the ability to investigate complex data issues across multiple systems and platforms. You will be expected to understand data flows, identify root causes of discrepancies and work collaboratively with stakeholders to drive improvements in data quality and integrity.
Key Responsibilities- Build relationships with stakeholders across Analytics, Technology, Retail Operations, Compliance and Finance to understand data quality challenges and requirements.
- Monitor, validate and reconcile data across online betting, gaming, retail operations, customer, financial and transactional systems.
- Investigate data anomalies, discrepancies and integrity issues, identifying root causes and coordinating corrective actions.
- Develop and maintain data quality controls, validation checks and exception reporting processes.
- Support the production and validation of operational, financial and regulatory reporting.
- Collaborate with Data Engineering and Technology teams to improve data capture, transformation and integration processes.
- Create and maintain dashboards and reporting that provide visibility of data quality KPIs and integrity metrics.
- Document business rules, data definitions, data lineage and quality standards.
- Support data governance initiatives and contribute to the development of best practices across the organisation.
- Proactively identify opportunities for automation and continuous improvement in data quality monitoring and controls.
- Communicate findings and recommendations effectively to both technical and non‑technical stakeholders.
- Encourage communication and collaboration across business teams to promote a culture of data ownership and accountability.
Essential:
- Strong SQL skills with the ability to interrogate, validate and reconcile large datasets.
- Advanced Microsoft Excel skills (including Pivot Tables, XLOOKUP/VLOOKUP and complex formulas).
- Experience working with large‑scale operational, transactional or customer data.
- Strong analytical and problem‑solving skills with excellent attention to detail.
- Experience investigating data quality issues and identifying root causes.
- Understanding of data warehousing concepts, ETL processes and data lifecycle management.
- Experience creating reports, dashboards and data quality monitoring solutions.
- Strong communication skills with the ability to present findings clearly to stakeholders.
- Ability to prioritise workload and manage multiple tasks in a fast‑paced environment.
Desirable:
- Experience within online gambling, gaming, sports betting or retail betting operations.
- Knowledge of data governance frameworks and data quality methodologies.
- Experience using Power BI, Tableau or similar visualisation tools.
- Understanding of financial, transactional or customer data reconciliation processes.
- Knowledge of regulatory reporting requirements within the gambling industry.
Additional Information
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in London, you can expect to receive great benefits like:
- Generous group bonus scheme
- Hybrid working - 2 days minimum in the office
- Private medical insurance
- Pension Scheme - matched to 6%
- Ability to buy and sell holiday
- Free subscription to wellbeing app Unmind
- Entain & Enhance days – 2 paid days off to focus on your professional or personal development
- Share save Scheme
- Paid Subscription to LinkedIn learning
Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Data Integrity Analyst in London employer: jobr.pro
At Entain, we pride ourselves on being an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. As a Data Integrity Analyst, you will benefit from a generous bonus scheme, hybrid working options, and extensive professional development opportunities, including paid days off for personal growth and access to learning resources. Our commitment to employee wellbeing and a culture of accountability ensures that you will play a vital role in maintaining data integrity while enjoying a supportive and rewarding workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Integrity Analyst in London
✨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 jobr.pro!
✨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 jobr.pro.
✨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 jobr.pro.
✨Apply Directly through Our Website
When you find a suitable opening like Data Integrity Analyst at jobr.pro, 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 London
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 jobr.pro, 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 jobr.pro. 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 jobr.pro
✨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 jobr.pro!
✨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.
