Remote Data Analyst – Student Insights & BI

Arden University; Birmingham; On-site; GBP 40,000 - 45,000; Full time

Benefits offered by this job

Aviva pension plan

SimplyHealth plan

Private Medical Insurance

Perkbox benefits

30 days holiday + bank holidays

Job summary

Arden University is seeking a Data Analyst to join the Analysis, Insights and Performance team. You will contribute to timely, accurate data analysis and develop reporting solutions for student data to support strategic decisions.

The role offers remote work with monthly travel to UK sites; salary £40,000–£45,000, permanent contract, 37 hours per week. Strong analytics, large data handling and BI tools like Power BI/Tableau are essential.

Qualifications

• Proven analytical and problem-solving capability.
• Experience with large multisource datasets.
• Understanding of data modelling and visualisation concepts.
• Strong communication and stakeholder interaction skills.
• Experience with BI reporting and data insight generation.
• Knowledge of data governance and data systems.
• Awareness of HE/public sector data developments.

Responsibilities

• Provide timely, accurate analysis of internal and external data sources.
• Develop reporting solutions for student data to support decisions.
• Enhance reporting on student data for internal and external audiences.

Skills

Analytical thinking

Problem solving

Large multisource data

Data modelling concepts

Data visualisation

Stakeholder management

Communication skills

Data governance awareness

BI insight generation

Record systems knowledge

Education

Statistics or Mathematics or Computing

Tools

SQL

PowerBI

PowerApps

Tableau

Job description

Arden University is seeking a Data Analyst to join the Analysis, Insights and Performance team. You will contribute to timely, accurate data analysis and develop reporting solutions for student data to support strategic decisions.

The role offers remote work with monthly travel to UK sites; salary £40,000–£45,000, permanent contract, 37 hours per week. Strong analytics, large data handling and BI tools like Power BI/Tableau are essential.