At a Glance
- Tasks: Ensure data accuracy and compliance in environmental reporting while identifying improvements.
- Company: Join Valpak, the UK's leader in environmental compliance and sustainability.
- Benefits: Enjoy a hybrid work model, competitive bonus, and generous annual leave.
- Other info: Collaborative environment with opportunities for professional growth and training.
- Why this job: Make a positive impact on global sustainability through data integrity.
- Qualifications: Experience in data management and strong analytical skills required.
The predicted salary is between 40000 - 41000 £ per year.
As the UKs leading provider of environmental compliance, Valpak strives to work together towards a profitable, sustainable, waste-free world. To date, our teams work in partnership with more than 400 customers, in nearly every corner of the globe. Valpak contributes to achieving the mission of Reconomys complete global compliance offering Comply Loop. Solving increasingly complex environmental regulatory challenges using data, expert local knowledge, and through leadership to drive business accountability across the globe.
Our core values drive everything we do. We believe in promoting a supportive environment for our colleagues, delivering exceptional service to our customers, contributing to the community, and working towards a more sustainable environment. If you share these values and are passionate about making a positive impact, we'd love to have you on our team.
About the role: The purpose of the Data Integrity Auditor within our data insight team is to uphold the highest standards of data accuracy, reliability, and compliance in our Extended Producer Responsibility (EPR) reporting. This role is crucial in ensuring that all data submitted for compliance purposes is thoroughly validated and verified, maintaining the integrity of our reporting processes. The Data Integrity Auditor is dedicated to conducting thorough sign offs, identifying discrepancies, and implementing improvements to our data management practices, thereby supporting our commitment to regulatory compliance and enhancing the overall quality of our EPR compliance reports.
Key Accountabilities:
- Data Validation and Verification
- Conduct thorough sign offs to ensure data accuracy and consistency.
- Verify data against regulatory standards and internal policies.
- Identify and correct data discrepancies and errors.
- Implement validation protocols to maintain data quality.
- Verify data consistency between reports and source systems.
- Data Quality Assessment
- Assess data for accuracy, completeness, and reliability.
- Identify patterns or trends indicating potential data issues.
- Recommend improvements based on quality assessments.
- Track and report on data quality metrics.
- Implement risk management plans.
- Monitor the effectiveness of risk mitigation efforts.
- Process Improvement Recommendations
- Identify inefficiencies in current data management processes.
- Develop and propose process improvements.
- Implement changes to enhance data quality and compliance.
- Monitor the impact of process changes.
- Cross-Functional Collaboration
- Conduct training sessions for the data management team.
- Offer ongoing support and guidance to team members.
- Work with IT and operations to ensure data integrity.
- Share audit findings and recommendations with other departments.
- Regulatory Updates
- Stay informed about changes in EPR regulations.
- Ensure ongoing adherence to current regulations.
What we need from you:
- Proven experience in data management, quality control, or a related field.
- Previous experience conducting sign offs preferable.
- Strong knowledge of packaging and waste regulations in different jurisdictions.
- Experience in creating and reviewing compliance reports.
- Industry specific knowledge relevant to the organisation's EPR compliance.
- Strong analytical and problem-solving abilities.
- High attention to detail and accuracy in data validation.
- Proficiency in data management and analysis tools (e.g., EPIC, Excel) preferable.
- Excellent time management, communication and organisational skills.
- Ability to collaborate effectively with cross-functional teams and provide training on data integrity.
What we offer:
- Dual Location / Hybrid worker Status.
- Participation in our annual Incentive Plan (VIP) - up to 10% bonus.
- 25 days annual leave plus.
Data Integrity Auditor in London employer: Valpak Limited
Valpak Limited is an excellent employer, offering a supportive work culture that prioritises employee well-being and professional growth. Located in the picturesque Stratford-upon-Avon, employees benefit from a competitive salary, generous annual leave, and a comprehensive pension scheme, making it an ideal place for those seeking meaningful and rewarding employment in environmental compliance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Integrity Auditor 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 Valpak Limited!
✨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 Auditor at Valpak Limited.
✨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 Valpak Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Integrity Auditor at Valpak Limited, 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 Auditor 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 Valpak Limited, 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 Valpak Limited. 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 Valpak Limited
✨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 Valpak Limited!
✨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.
