We're looking for people to join the Access family, who share our passion for believing in better, and who will help us continue to grow. Love Work. Love Life. Be You. - is central to our success and how we give our customers the freedom to do more of what's important to them. What does Access offer you? We offer a flexible, hybrid working environment where you can balance work and life while maintaining a strong office team-based culture. We deliver on what we say, taking the development of our people seriously. We'll work with you to progress your success plan and provide opportunities to accelerate your career. About you: We are seeking eight motivated, well-organised and detail-oriented Data Quality Interns to work with our Data Quality team and colleagues within divisions such as Hospitality, Legal, and Health and Social Care to improve our account data quality. The successful candidate will be responsible for using internal and internet sources to clean and enrich datasets about customers, which may be companies, charities or outlets. These roles are ideal for someone looking to gain hands-on experience in data management and analysis. Day-to-day, you will: • Data Discovery: Identify useful internal company and external internet sources of data related to customer and prospect accounts. • Data Cleaning: Identify and correct errors or inconsistencies in datasets. • Data Enrichment: Enhance datasets by adding missing information and verifying existing data. • Documentation: Maintain accurate records of data sources and cleaning processes. • Collaboration: Work closely with the Commercial Data Manager and other team members to ensure data quality and integrity. • Data Quality Analysis: Assist in analysing data quality before, during and after cleaning and enrichment process. • Reporting: Prepare reports and visualizations to communicate findings to stakeholders. As a well-rounded Data Quality Intern your Skills and Experiences likely include: • Candidate must be available for the full 6-month period • Internship start date : July 2025 intake • Current enrolment or graduate of a degree programme with a substantial quantitative, data and computing component, including but not restricted to computing, mathematics, statistics, bioinformatics or engineering. • Proficiency in Microsoft Excel. • Familiarity with code-based data analysis tools (e.g., SQL, Python, R) is a plus Essential Criteria: • Technical Skills: Recent experience with Microsoft Excel and careful file management. • Attention to Detail: Meticulous approach to identifying and correcting data errors. • Organisational Skills: Excellent organisational skills and methodical working habits. • Communication Skills: Good written and verbal communication skills. • Teamwork: Ability to collaborate effectively with team members. • Self-Motivation: Proactive and able to work independently with good judgement on when to request clarification on work. • Adaptability: Willingness to learn new tools and techniques as needed. • Problem-Solving: Demonstrated curiosity about and ability to solve data-related problems. What are we all about? The Access Group is one of the largest UK-headquartered providers of business management software to small and mid-sized organisations in the UK, Ireland, USA and Asia Pacific. It helps more than 100,000 customers across commercial and non-profit sectors become more productive and efficient. Our products and solutions go beyond providing technology, we connect the right people with the right data, at the right time, through Access Workspace. At Access, we are committed to creating a welcoming and inclusive environment where everyone can thrive. If you're excited about this role, (even if your previous experience doesn't align perfectly), you might just be the perfect fit for us! We wholeheartedly believe in equality for all and the transformative power of diversity. Why not join our vibrant team where you can love what you do, love how you live, and most importantly, be authentically you? Let's make a difference together. Love Work. Love Life. Be You.