Faculty Data & Reporting Project Officer

Reference
1118849

Branch
University of Warwick

Start date
31/10/2026

Duration
Other - See Job

Hours and days
Standard University hours 36.5 hours per week – 5 days a week

Dress code
Smart Casual

Rate of pay
£18.76

Holiday rate
£2.26

Role

The Faculty of Social Sciences is seeking an experienced and proactive individual to lead the development of a faculty-wide data collection and reporting solution to support student module registration.

The postholder will work closely with departmental administrators across the Faculty to collect, validate and consolidate module registration data into a single shared view. This information will be used to support the confirmation and management of student module choices across departments, ensuring that agreed rules and constraints are applied consistently and transparently.

A key aspect of the role will be the design and development of a sustainable reporting solution, expected to be delivered using Microsoft Power BI. The successful candidate will be responsible for creating processes and dashboards that enable departments to view, review and confirm module selections through a shared reporting environment.

Reporting directly to the Faculty Chief Operations Officer, the postholder will have significant autonomy in determining the most effective approach to data collection, transformation, reporting and stakeholder engagement.

This is an exciting opportunity to shape a new faculty-wide process that will improve visibility, consistency and efficiency across module registration activities.

Duties and responsibilities

• Act as the central coordination point for the collection of module registration data from departments across the Faculty.
• Engage with departmental administrative teams to gather student module selection information in an agreed standard format.
• Develop and implement processes for receiving, validating and consolidating data from multiple sources and departments.
• Analyse datasets to identify missing, duplicated or conflicting information and work with departments to resolve discrepancies.
• Apply agreed business rules and validation checks to support accurate module registration decisions.
• Create and maintain a central faculty dataset representing student module selections across all participating departments.
• Design, build and maintain a reporting and visualisation solution, expected to utilise Microsoft Power BI.
• Develop dashboards and reports that provide departments with a shared view of registration activity and module demand.
• Create mechanisms through which departments can review and confirm student module selections.
• Produce reports, summaries and management information for Faculty leadership and project stakeholders.
• Document processes, data definitions, reporting structures and operational procedures to support future reuse.
• Ensure all handling of student data complies with University policies and relevant data protection legislation.
• Make recommendations for improvements to data quality, reporting processes and operational workflows.
• Provide training, guidance and support to departmental users where required.

Skills and experience

• Degree-level qualification or equivalent relevant experience.
• Experience of managing, analysing and reconciling large datasets from multiple sources.
• Strong experience of designing and developing reporting solutions using Power BI or equivalent business intelligence tools.
• Advanced Microsoft Excel skills, including data transformation, validation and analysis.
• Experience of data cleansing, quality assurance and data governance practices.
• Ability to design and implement processes for collecting and managing complex information.
• Excellent analytical and problem-solving skills.
• Strong interpersonal and stakeholder management skills.
• Experience working with multiple stakeholders to gather requirements and achieve agreed outcomes.
• Ability to communicate technical information clearly to non-technical audiences.
• Excellent organisational skills and ability to work independently with minimal supervision.
• High levels of accuracy and attention to detail.

Location
Combination

Additional information
Advert closes on 28th September 

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