Senior Analyst – Higher Education

Statista

(Senior) Analyst in Higher Education at Statista analyzing global education trends and developing data-driven products. Collaborating with teams on education impact measurement and benchmarks.

Posted 5/4/2026full-timeHamburg • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Contribute to and - with growing experience - own core components of Statista R's education rankings, from indicator design and metric calibration to scoring frameworks and results validation
Develop, document, and refine data models and normalization approaches in alignment with current academic research, working closely with the analyst team
Evaluate data sources and data providers (e.g., bibliometric databases, international education statistics) to strengthen the empirical foundation of our products
Support and - at the Senior level - drive strategic partnerships with higher education institutions, data providers, and other stakeholders to ensure structured data disclosure and transparency
Build and maintain frameworks for monitoring global higher education trends, tracking academic publications, policy developments, and the evolving data provider landscape
Conduct needs assessments to identify gaps in our current products and actively contribute ideas for new data-driven education offerings
Contribute to - and at the Senior level, lead - interdisciplinary project teams that measure and benchmark education impact
Share methodological knowledge within the team; Senior Analysts are additionally expected to provide structured guidance and mentoring to junior team members

Requirements

What you’ll need

Master's degree (or equivalent) in Economics, Education/Social Science or a related field
Analyst: 2+ years of relevant experience | Senior Analyst: 4+ years of relevant experience.
Background in higher education evaluation, institutional research, education strategy, or education consulting - ideally within a university, governmental agency, research organization, or consultancy
Experience translating analytical findings into actionable, data-driven recommendations; at the Senior level, demonstrated experience communicating these to senior decision-makers
Track record of contributing to - and at the Senior level, managing - analytical projects from conception through delivery
Good understanding of statistical methods and quantitative analysis; at the Senior level, this extends to experience with data normalization, composite indicators, or scoring methodologies
Familiarity with tools such as Excel (advanced), or Python / R for data cleaning, analysis, and visualization
Fluent in English (written and spoken); German or other additional languages (e.g. Chinese, Spanish) a strong plus
Strong analytical mindset, structured working style, and genuine curiosity about education and data
Motivated to work in an international, cross-functional environment

Benefits

Comp & perks

Work from abroad up to 30 calendar days a year
Hybrid work and flex-time
International team and social events
Subsidized urban mobility and access to fitness and wellness options
Free access to Langdock and all its amazing functionalities
Career & training opportunities
Attractive locations and modern offices
Mental health support with OpenUp

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Hard Skills & Tools

data modelsnormalization approachesstatistical methodsquantitative analysisdata normalizationcomposite indicatorsscoring methodologiesanalytical projectsdata-driven recommendationseducation impact measurement

Soft Skills

analytical mindsetstructured working stylecuriosity about education and datacommunication skillsmentoringcollaborationstrategic thinkingneeds assessmentproblem-solvingleadership

Certifications

Master's degree in EconomicsMaster's degree in EducationMaster's degree in Social Sciencerelevant certifications in data analysiscertifications in education evaluationcertifications in project managementcertifications in statistical methodscertifications in higher education consultingcertifications in quantitative researchcertifications in data science