Data Analyst (UOH-TA-0218)

University of Hull
July 25, 2024
Offerd Salary:£38,205 to £44,263
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A
Data Analyst Reference: UOH-TA-0218

Campus: Hull Faculty/Area: Student Recruitment and Marketing Directorate Subject Group/Team: Recruitment and Marketing Salary: £38,205 to £44,263 Up to 21% pension & £10'000 relocation package 31 days holiday + bank holidays Post Type: Full Time Closing Date: Thursday 25 July 2024

Applicants are expected to submit a CV and covering letter.

We reserve the right to close the advert early if a satisfactory amount of applications have been received.

At the University of Hull, we've been challenging people to think differently for almost 100 years. At Hull you can expect academic excellence, state of the art facilities and the chance to play your part tackling the big issues facing humanity. We are research leaders in clean energy, flood resilience, cancer and wound care and the fight against modern slavery. We change the world for the better. We believe in a hands-on and personalised approach to learning, where everyone is empowered to develop the competencies, skills and knowledge they need to grow and flourish. We are proud to be part of Hull; a city that epitomises northern warmth. Together we're enabling people, organisations and businesses to thrive here, and around the world. Working in collaboration with colleagues internally and externally, our passionate Marketing team (part of our Marketing and Student Services Directorate) strives to develop a data and insights-led approach to Marketing, driving performance across a range of audiences and channels, while reflecting our new identity and brand.

The Role As a Data Analyst, you will support the development and delivery of our acquisition strategy for the University of Hull by communicating performance insight from across our Marketing media mix and website. By leading on the development of data reports, visualisations and models, you will be able to handle complex datasets with accuracy and thoroughness, and grow our omnichannel learnings to maximise the opportunities across University touchpoints. For more information about the University of Hull, please visit https: // www.

Specific Duties and Responsibilities of the post

1. Design and maintain marketing reports, visualisations and dashboards that bring information to life, for effective communication of findings and insights to internal stakeholders, including SLT, marketing teams, and relevant faculties.

2. Design, build, and test data models that provide performance insight across our marketing mix and website, for strategic planning and reactive tactical updates.

3. Extract, clean, and transform data, handle complex datasets with accuracy and thoroughness, transforming it into industry standard, valuable insights for best practice decision making

4. Automate previously manual queries that underpin critical analysis and strategic initiatives.

5. Grow our omnichannel perspective by establishing and optimizing specific reporting solutions across various digital touchpoints (our website, social platforms, CRM, and more)

6. Provide ad hoc analysis and ongoing reporting for key metrics. Analyse and communicate tests and trial outcomes, with clarity and clear recommendations for future business planning.

7. Communicate continuous opportunities to enhance business performance through innovative use of analytical techniques and storytelling

8. Provide support to the wider Marketing team in delivering sustainable growth through agile responses to reporting and tracking requirements

9. Utilise a range of platforms (Google Analytics, Power BI, etc) to combine data in order to tell the story and generate actionable insight to university challenges

Preferred Requirements:

1. Experience working as a Digital/ Web Analyst. Demonstrated knowledge in Analytics, with an aptitude for troubleshooting and quality assurance of data. Marketing experience beneficial.

2. Strong analytical skills with the ability to collect, organize, and analyse complex data sets

3. Self-motivated, with a growth mindset that embraces challenges, fosters creativity, and seeks continuous improvement in data analysis techniques

4. Experience in using analytical tools such as Azure technology, SQL, Power BI, GA 4, etc. or similar

5. Aptitude to model data, formulate conclusions and present opportunities effectively

6. Passion to solve complex problems with a keen eye to spot anomalies within large datasets.

7. Forward-thinking mindset with ability to make decisions and adapt plans accordingly.

8. Fully conversant in analytics and statistical concepts.

9. Experience with attribution mapping/modelling.

10. Excellent communication skills, both written and verbal, with the ability to effectively communicate complex data insights to non-technical stakeholders

For an informal conversation regarding the post please contact Catie Winter [email protected]

Apply Online

Further details:

Find out more about our roles and opportunities by following us on social media #HullUniJobs

At the University of Hull, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UoH workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and women particularly for our Grade 9 and 10 roles.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.


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