Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Quality Analyst

University of Glasgow
Glasgow City
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst (R-18263)

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Job Purpose

This role is part of the statutory returns team, which is responsible for the external reporting of accurate data in accordance with HESA and SFC. The holder will be responsible for improving the quality and managing key information assets, aimed at improving the overall data and data governance maturity of the University. This includes the collection, audit and validation of data, applying both internal data quality processes and ensuring compliance with the HESA and SFC data collection rules. A key part of the role of the team is the analysis of the returns, impacts on the University and the presentation of management information. To have an in-depth understanding of the lifecycle, structure and appropriate use of student data to provide expert advice and recommendations to inform management decisions and support a wide range of data users. Be a source of advice and experience in business processes and technical understanding of specific areas and provide recommendations within professional guidelines to meet service requirements. Main Duties & Responsibilities 1. Using a high level of expertise, coordinate the work of the HESA team. Set priorities and ensure that the service provided by the team is efficient, effective and professional and that processes and procedures are regularly reviewed and improved. 2. Review data for inconsistencies or anomalies that could lead to misleading data analysis and challenge poor data management practices that might negatively impact internal or external reporting of student metrics. Co-ordinate across services and play a central role in the procurement of a solution to improve data quality in a way that effectively supports the needs of both daily operations and external reporting. 3. Complete a comprehensive review of HESA Data Futures requirements and their impact on practices and procedures. Lead on the adoption and preparation for data futures ensuring that system(s) and processes are all fit for purpose to deliver the requirements of data futures and ensure that the University is fully prepared to meet the demands of in year reporting. 4. Accountable for the production and completion of the HESA Data Futures Student return analysis and output. Responsible for the operational processes and production of the return. To work closely with the data owners to ensure the accuracy of the data being utilised. To analyse the return and provide management information on the outputs and impact of the data. 5. Liaise and communicate closely with all services which play a role in the collection and transformation of data, which is used internally for operational use, strategic analysis or reported externally for publication. 6. Play a pivotal role in enhancing the quality of data held in the student record and other corporate databases in support of Data Governance. 7. Work to enforce Data Governance activities across all domains covering ownership, onboarding, standards, rules and process. 8. Play significant role in Data Governance communities and ensures decision making around data constantly evolves and suits the University needs. 9. Using the Data Governance framework, train and educate the Data Stewards and Owners on their Data Governance and data quality management practices. Knowledge, Qualifications, Skills & Experience Knowledge / Qualifications  Essential A1 Experience working on Data quality project within Higher Education.A2 Knowledge of SFC Guidelines and Policies.A3 Knowledge of HESA Guidelines and Policies.A4 Knowledge of Data Management Practices. Skills Essential C1 Excellent interpersonal, organisational and communication skills.
C2 Enthusiasm and a high degree of personal effectiveness.C3 Accuracy, numeracy, attention to detail and ability to handle large volumes of data.
C4 High levels of numeracy and analytical capability.C5 Strong IT skills, particularly Microsoft Office.
C6 Ability and commitment to work calmly under pressure in a very busy environment and achieving high quality work standards.C7 Ability to negotiate and persuade busy colleagues of the need to amend and update incorrect or missing information.
C8 Ability to work to timescale with competing demands. Experience  Essential E1 Relevant experience in Data Management with degree qualification.E2 Experience of working with MyCampus, PowerBI and SQL.E3 Experience of working with databases and producing accessible management reports. Desirable F1 Experience of report writing skills.
F2 Experience of working on HESA and SFC statutory returns. Terms and Conditions Salary will be Grade 7, £39,347 - £44,263 per annum. This post is full time (35 hours per week) and open ended (permanent). As part of Team UofG you will be a member of a world changing, inclusive community, which values ambition, excellence, integrity and curiosity. The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.