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About the Role

Support the accurate preparation, validation and submission of statutory student data returns, ensuring data quality, compliance and effective reporting.

Responsibilities

• Prepare, collate, and analyse student data for HESA returns.
• Ensure timely and accurate submission of HESA DATA RETURNS.
• Monitor changes in HESA requirement and update processes accordingly.
• Scrutinise and validate students record data for completeness and accuracy.
• Conduct regular data quality checks and resolve any discrepancies.
• Implement data validation processes to ensure compliance with HESA standards.
• Work closely with academic department, registry team and system teams to ensure accurate data collection and reporting.
• Provide guidance and support to colleagues on HESA data requirements and processes.
• Communicate changes in HESA requirement to relevant stakeholders.
• Generate reports and analyses for senior management on HESA data submission.
• Identify and explain data variances and their potential impact on the institution.
• Prepare ad-hoc reports as required to support data-driven decision-marking.
• Review and improve data collection and reporting processes.
• Say abreast of developments in HESA data requirement and best practices.
• Support the preparation, validation, and submission of statutory data returns, including HESA, OfS, Data Futures, Higher Education Students Early Statistics Survey, Provider Profile, Discover Uni, NSS, and Graduate Outcomes.
• Ensuring the accuracy and completeness of data by implementing robust data quality checks and validation processes.
• Collaborating with internal departments to gather and compile necessary data.
• Staying updated on changes in statutory data reporting requirements to ensure institutional compliance.
• Interpreting and implementing data reporting guidelines from regulatory bodies.
• Advising management on compliance issues and potential impacts of regulatory changes.
• Analysing data to identify trends, anomalies, and areas for improvement.
• Developing and maintaining documentation of data processes, methodologies, and definitions.
• Conducting regular audits to ensure data integrity and compliance with reporting standards.
• Liaising with external bodies, including regulatory agencies and auditors.
• Collaborating with academic and administrative staff to enhance data collection processes.
• Providing training and support to staff involved in data collection and reporting.
• Identifying and implementing enhancements to data collection and reporting systems.
• Working with IT and other departments to optimize data management systems and tools.
• Preparing reports and presentations for management on the status and outcomes of data return submissions.
• Contributing to a collaborative work environment by supporting decision-making on BI and data warehouse solutions.

Requirements

• Undergraduate degree or equivalent qualification.
• Proven experience with large and complex data sets.
• Experience managing statutory returns processes in higher education or public sector.
• Strong understanding of data quality assurance and data protection legislation.
• Ability to interpret and distil complex technical information for non-technical audiences.
• Highly analytical with the ability to process large volumes of data.
• Innovative and creative in problem-solving.
• Proficiency in using data tools and technology for data manipulation.
• Proficiency in Microsoft Office products and data visualization tools.
• Experience using relational database systems.
• Understanding of the requirements of data protection legislation and confidentiality policies.
• Ability to understand and interpret complex information and requirements.
• Ability to assess the purpose of required outputs, identify relevant data sources, and verify their validity.
• Ability to join, conform, manipulate, and scrutinize large and disparate data sets.
• Project management skills for key analyses to drive time-dependent regulatory work.
• Master’s degree in a relevant field.
• Experience with specific higher education data systems (e.g., HESA, HESES).
• Knowledge of the UK Higher Education sector and national policy environment.
• Experience with advanced data manipulation and visualization tools (e.g. Power BI).
• Familiarity with data governance frameworks and best practices.
• Knowledge of cloud-based data storage and management solutions (e.g. Microsoft 365).
• Experience with data integration tools and techniques.
• Proficiency in SQL for complex queries and database management.
• Understanding of machine learning and statistical analysis techniques.

Skills

• Statutory returns
• Data quality
• Complex datasets
• Collaboration
• Communication
• Data analysis
• Data validation
• Data collection
• Reporting
• Microsoft Office
• Data visualization
• Relational database systems
• SQL
• Machine learning
• Statistical analysis

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• Experienced

Education Level

• Undergraduate degree
• Master's degree

Salary/Compensations

• Upto 40k

Benefits

• Health Benefits
• Life Assurance Plans
• Salary Sacrifice Schemes (Pension, Cars, Cycle to Work)
• Annual Leave & Holiday Benefits (Buy Holiday, Additional Christmas Leave & Carry Over Leave)
• Employee Assistance Plan (EAP) & 24/7 Access to GPs
• Employee Discounts (Gym, Shopping, Cinema)

About the Company

• Regent College London is a leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses.
• We are student-focused, digitally forward, and committed to academic excellence.

Equal Opportunity

• We are an equal opportunity employer and value diversity and inclusion, selection for employment is based solely on an individual’s skills, qualifications, and experience relevant to the role.