Survey Data Analyst (0.5 FTE)

Jelentkezem

Cég neve

IBS Nemzetközi Üzleti Főiskola, Budapest
Munkavégzés helye

1031 Budapest, Záhony utca 7

Nézze meg a jelentkezők átlag bérigényét!

Ft/hó Megnézem

Egyéb juttatások
- Egészségpénztár
- Szakmai tréningek
- Munkába járás támogatás
- Beiskolázási támogatás
Munkaidő, foglalkoztatás jellege
- Szakmai gyakorlat
- Alkalmazotti jogviszony
- Kisgyermekeseknek
- napi 4 óra
- Általános munkarend
Elvárások
- Angol felsőfok és
- Magyar felsőfok
- 1-3 év tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

A hirdetés adatait sikeresen elküldte az email címére.

Responsibilities

Manage the end-to-end delivery of institutional surveys (e.g., student feedback; first-year survey; graduate outcomes, faculty, staff, and employer surveys)
Coordinate survey timelines across the academic year, including monitoring response rates and actively following up to improve participation
Clean, structure, and analyse survey datasets using established internal data pipelines
Interpret results critically, identifying trends, patterns, and potential issues in the data
Prepare clear, structured reports and visual materials tailored to academic and professional audiences
Co-present survey findings to faculty and internal stakeholders, explaining key insights and methodology
Contribute to the continuous improvement of survey design, methodology, and data quality
Support ad hoc data requests related to quality assurance and enhancement, accreditation, and regulatory reporting

Requirements

Bachelor’s degree in a relevant field (e.g., Sociology, Psychology, Market Research or similar)
Hands-on experience with surveys (e.g., through academic research, thesis work, internship, or professional role)
Experience using survey tools such as LimeSurvey, Qualtrics, or similar
Strong analytical skills and ability to interpret data beyond surface-level results
Ability to produce clear, structured written reports
Ability to take ownership of recurring survey processes, working independently while keeping relevant stakeholders informed
Good communication skills and confidence to explain findings (with support)
Advanced (C1) level written and oral English
Good IT skills (incl. confident use of Microsoft Excel for data handling and analysis) and openness to learning new tools and systems
Curiosity and willingness to engage with survey design and interpretation

Nice-to-have

Master’s degree in a relevant field, with demonstrated experience in research or data analysis
Familiarity with data visualisation tools such as Tableau or Power BI
Basic knowledge of Python or similar scripting languages for data handling
Experience presenting findings to stakeholders
Interest in developing more advanced analytical approaches (e.g., segmentation or predictive modelling)

What we offer

Open-ended, part-time work contract (0.5 FTE)
Flexible working arrangement, with home office
Access to IBS benefits (e.g., healthcare partner, staff development opportunities), including a 75% tuition fee reduction for IBS programmes available to full-time/part-time staff and their immediate family members
Opportunity to take ownership of key institutional surveys and contribute directly to decision-making
Exposure to senior academic stakeholders and participation in faculty-level discussions
Development opportunities in survey methodology, data analysis, and applied insights
Opportunity to enrol in programmes such as the MSc IT for Business Data Analytics, supporting further development in areas such as Python-based data wrangling and data visualisation (e.g., Tableau and Power BI)
Supportive working environment with mentoring and guidance
State-of-the-art, green working environment at Graphisoft Park

Workplace extras

Canteen
Cafe
Shower
Corporate events
Company bus
Bicycle storage
Parking
Sports facilities

Company info

Founded in 1991, International Business School (IBS) is a state-recognised leading private higher education institution, offering a multitude of degree programmes related to business and management, accredited in Hungary and the United Kingdom, both at the undergraduate, postgraduate and doctorate levels.
You will be joining the Centre for Quality Assurance and Enhancement, supporting institutional data collection, analysis, and quality improvement activities across the School. The role involves working with established, standardised survey instruments aligned with international best practices, as well as contributing to the design and refinement of surveys for a diverse, international academic community. You will collaborate with a wide range of stakeholders and contribute directly to enhancing the student, faculty, and staff experience.

The Centre for Quality Assurance and Enhancement at IBS is looking for a part-time Survey Data Analyst to support the delivery and analysis of key institutional surveys across the academic year. In this role, you will work with feedback from students, faculty, staff, and graduates, contributing to evidence-based decision-making and quality enhancement within a highly international higher education setting. You will engage with both established, standardised survey instruments (e.g., UK National Student Survey and HESA Graduate Outcomes Survey) and the development of new surveys tailored to a highly diverse, international academic community. The role is ideal for an early-career candidate with a background in survey-based research who is interested in applying and further developing their methodological and analytical skills in this environment.

Safeguarding and Equality
IBS is committed to safeguarding and promoting the welfare of children and young people and expects all faculty and staff to share this commitment.
IBS is an equal opportunity employer. We value diversity and welcome applicants from every walk of life.

How to apply

Please upload your CV and a motivation letter of no more than 200 words in English.
In your motivation letter, please demonstrate how you meet the key requirements listed above, particularly your experience with surveys and data analysis. Promising candidates will be asked to complete a short data analysis assignment. The highest-performing candidates will be invited for an interview.

Jelentkezem MENTÉS