(Senior) Analyst - Higher Education (m/f/d)

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.

Are you ready to join us?

Your Role

As (Senior) Analyst Higher Education at Statista R, you will join our international team of data professionals, supporting the analytical backbone of Statista R’s education division.

Your work will focus on identifying global education trends and making them quantifiable, defining analytical models together with the data team and developing new rankings and products around the education space.

Your work will include the identification, collection, and analysis of education data that power our Rankings, Ratings, and Benchmarking projects, as well as the development of new, data-driven products.

In Benchmarking projects in close exchange with education institutions and other stakeholders you will be part of an interdisciplinary project team that measures education impact.

Your work will directly support Statista’s mission to make education quality measurable, comparable, and actionable - globally.

Your Responsibilities

• 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

Your Profile

• 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

What we offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

• 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

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.