Senior Data Analyst (Curriculum)

Reference
1099824

Branch
University of Warwick

Start date
25/08/2025

Duration
6 Months

Hours and days
36.5 hours per week (Monday-Friday, 5 days per week) / flexible on alternative arrangements, might be less than full time over a slightly longer period or making two appointments to complete this assignment as a job share.

Dress code
Smart Casual

Rate of pay
£29.38

Holiday rate
£3.55

Role

We are seeking a skilled and detail-oriented Data Analyst with a strong background in data wrangling to join our curriculum data team. The successful candidate will play a key role in transforming complex and fragmented curriculum-related data such as module specifications, delivery patterns, assessments, and course structures, into accurate, consistent, and usable formats. This work will directly support academic planning, quality assurance, and evidence-based decision-making across the institution and, critically, will support us to implement and go live with a new Curriculum Management System in 2026.

The ideal candidate will have the skills and mindset needed to work proactively and manage multiple tasks at pace. Strong problem-solving abilities, the capacity to manage large volumes of information, and excellent skills in establishing and maintaining effective working relationships with a range of stakeholders across the University are essential.

Applicants should provide a covering letter using the Skills and Experience criteria below as headings to demonstrate relevant evidence and experience.

About the Department

Education Policy and Quality (EPQ) helps ensure that Warwick offers a transformative, enriching and distinctive education to every student who studies here. Broadly speaking, our remit covers educational policy, strategy and governance and their role in creating a culture of continuous improvement. 

We are a friendly and supportive team of around 25 colleagues across our Quality & Partnerships, Policy & Governance, Curriculum Management, and Operations teams. Most members of the team have ‘business-as-usual’ responsibilities in one of our Core Services and project responsibilities in one of our priority projects. We work with a wide group of stakeholders across the university and outside the university and play a key role in ensuring the policies and regulations are implemented fairly, consistently and proportionately.

Duties and responsibilities

1. Collect, clean, and transform raw data into structured formats suitable for analysis.
2. Design, build, and maintain ETL (Extract, Transform, Load) processes to automate data workflows and ensure curriculum data from multiple data sources is accurately combined, transformed, and made available for use.
3. Utilise data wrangling tools to prepare data for analytics and reporting.
4. Collaborate with analysts, data scientists and business stakeholders to understand data requirements.
5. Validate data integrity and troubleshoot data quality issues.
6. Create and maintain clear, comprehensive documentation of data pipelines, including transformation logic, data definitions, and dependencies, to support ongoing maintenance.
7. Work with large datasets and disparate data sources (e.g., APIs, databases, flat files, text files, unstructured data etc).

Skills and experience

Essential

1. Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related field.
2. 2+ years of experience as a Data Analyst or in a similar data-focused role.
3. Proven experience with Higher Education curriculum data.
4. Proven experience with data wrangling and transformation techniques.
5. Proficiency in data wrangling tools, such as Python (with Pandas, NumPy); R (dplyr, tidyr); SQL; Excel (Power Query).
6. Strong problem-solving skills and attention to detail.
7. Excellent communication and collaboration skills.

Desirable

1. Familiarity with data visualisation tools such as Power BI, Tableau, Looker.
2. Familiarity with relevant systems in higher education (student records systems (ideally SITS), curriculum management systems).

Location
Hybrid with atleast 1/2 days in office. Open to discuss flexibility

Additional information
Job start date - ASAP / Early August

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