Data Analyst - CONTRACT ROLE OUTSIDE IR35

Job Description

The Computing & Information Services (CIS) department at Durham University (DU) requires a contractor Data Analyst to join a specific project until September 2023.OUTSIDE IR35Hybrid based but travel as required to DurhamThe Computing and Information Services department (CIS) provides a variety of IT services to the University. One of these services is a programme called Creating an Integrated Student Experience (CISE). This large programme requires upgrades to existingsystems, implementation of new systems and implementation of new processes in the business teams.Role Profile - Data AnalystThe data analyst collects, organises and studies data to provide business insight and support, this role entails:

• applying tools and techniques for data analysis and data visualisation (including the use of business information tools)
• identifying, collecting and migrating data to and from a range of systems
• manage, clean, abstract and aggregate data alongside a range of analytical studies on that data
• manipulate and link different data sets
• summarise and present data and conclusions in the most appropriate format for users

Skills requiredThe following skills for this role will be required:

• Data analysis methods can apply and demonstrate knowledge of different data analysis techniques for the associated problemsituation. Can understand and help teams to apply a range of methods to analyse research data and synthesise findings.Can effectively engage sceptical colleagues in analysis and synthesis. Can advise on the choice and application of techniques and can critique colleagues findings to assure best practice.
• Stakeholder management can work with stakeholders to gather requirements and deliver findings
• Communication. Can listen to the needs of technical and business stakeholders and interpret them. Can effectively manage stakeholder expectations. Can manage active and reactive communication. Can support or host difficult discussions withinthe team or with diverse senior stakeholders.
• Data management can identify and understand data sources, data organisation, construct and storage.
• Data modelling, cleansing and enrichment. Can build and review complex data models, ensuring adherence to standards. Can use data integration tools and languages to integrate and store data and advise teams on best practice. Can ensuredata for analysis meets data quality standards and is interoperable with other data sets, enabling reuse.
• Data quality assurance, validation and linkage. Has an appreciation and understanding of data quality metrics, assurance and how data should be cleansed and prepared. Can bring data together from different sources. Can communicate the limitationsof data. Can peer review colleagues outputs to ensure quality.
• Data visualisation. Can demonstrate skill in a number of data visualisation tools and techniques. Can apply standards and best practices to present, communicate and disseminate data appropriately and with influence.
• Logical and creative thinking. Can ensure that the most appropriate actions are taken to resolve problems as they occur.

Key experience

• In depth SQL experience (Oracle PLSQL and Microsoft T-SQL)
• Experience analysing data sets
• Experience of Microsoft Dynamics and APIs
• Experience of Higher Education (HE) applications and processes (desirable)
• Experience of data modelling using sample HE models such as UCISA (desirable)