Data Analyst

Queen Mary University of London; Greater London; On-site; GBP 28,000 - 40,000; Full time

Benefits offered by this job

Competitive salary

Generous pension

30 days leave per annum (pro-rata)

Season ticket loan

Job summary

Queen Mary University of London is seeking a Data Analyst to join the Cancer Prevention Trials Unit (CPTU). You will manage data, analyse datasets, and create visualisations to support reporting for stakeholders.

You will coordinate data activities around participant invitations and appointment bookings within a dynamic, multi-centre research environment. The role requires clear communication across diverse audiences and the ability to work independently as well as part of a team within the

Qualifications

• Experience with managing and analysing data for projects.
• Ability to generate visuals and reports for stakeholders.
• Capable of coordinating data activities around invitations and bookings.

Responsibilities

• Oversee data management activities for the project.
• Interpret and analyse data to create visuals for reports to stakeholders.
• Coordinate data tasks related to participant invitations and appointment bookings.

Skills

Data analysis

Data management

Data visualisation

Verbal communication

Written communication

Independent work

Job description

This is an exciting role for a Data Analyst to join The Cancer Research UK Cancer Prevention Trials Unit (CPTU) at Queen Mary University of London.

The CPTU specialises in the design and delivery of large-scale trials in cancer screening, prevention and early diagnosis. Our research typically involves complex, multi-centre studies with large and diverse populations, often delivered through decentralised models.

We are looking for a Data Analyst to join our team. One of the trials you will be working on is an exciting large-scale national project, BEST4. The overall aim of the BEST4 Trial is to investigate the effectiveness of the Capsule Sponge test in reducing the number of deaths caused by cancer of the oesophagus.

About You

As Data Analyst, you will be responsible for all data management activities. You will interpret and analyse data received to generate illustrations and visualisations of the project data that can be easily understood in reports for key stakeholders. You will also coordinate any data management activities around the participant invitations and appointment bookings.

We expect you to excel in both verbal and written communication, with the ability to tailor information to diverse audiences. You should have a track record of working independently, meeting deadlines, and collaborating effectively within a team.

The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to 450 staff, 100 PhD students and 500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally recognised centre of excellence in population health, primary care and preventive medicine. The Institute is organised into six separate research centres which, though complementary and following the Institute strategic plan, also have Centre-specific objectives and requirements.

The Centre for Cancer Screening, Prevention and Early Diagnosis (CCSPED) forms part of the WIPH and brings together globally leading researchers focusing on cancer prevention, screening and detection and early diagnosis across two units. CCSPED also hosts the cross-cutting Cancer Behavioural Science group and the CRUK-funded Cancer Prevention Trials Unit (CPTU, Director, Sasieni).

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we've fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it's simply 'the right thing to do' but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Closing Date