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Locations: Amsterdam
Please note: you may only apply for one position with us, so take the time to consider the location and Centre of Excellence.
Before applying, please ensure to check our FAQ for important information about eligibility and the application process.
We strongly believe in the positive potential of AI and actively support its responsible use in the workplace. However, applications that use AI to generate a cover letter will be rejected, and the use of AI during any interviews or written exams will also result in rejection.
We are looking for Graduate Economics Analysts with a background in Econometrics or Statistics to be based in one of our ten European offices. You will support Oxera's wider projects and business development initiatives as part of our Analytics and Data Science team.
Our Analytics and Data Science team specialises in the application of cutting-edge quantitative methods in econometrics, statistics and data science. We leverage advanced methods to extract, transform, load and analyse data, delivering valuable insights to our clients through high-quality outcomes and impactful narratives. We are an international team, and work across several geographies—wherever data-driven insights and innovative analytical approaches are needed.
Your role in the team
- Collaborate closely with colleagues, clients and academics to resolve complex issues using causal inference methods on unique and complex datasets.
- Build and validate datasets, apply causal inference or other statistical techniques, test economic hypotheses and communicate your work through clear and impactful visuals.
- Contribute to writing reports, presentations and articles to communicate research insights effectively to both technical and non-technical audiences.
- Actively contribute to the Analytics and Data Science team.
- Engage with others across teams to share expertise and continuously learn from peers.
What we're looking for
- An excellent academic record, with an undergraduate or postgraduate degree in a quantitative field such as economics, emphasizing statistics and/or econometrics for causal inference and hypothesis testing. A PhD degree is a plus. If a relevant degree is not available, a proven history of robust, reliable data analysis focusing on causal inference and hypothesis testing is essential.
- Strong problem-solving abilities and analytical and communication skills. Previous experience of producing insights and providing recommendations within a client-facing context is advantageous.
- Experience with building simulations, agent-based models, continuous or discrete choice models, or time series models (advantageous).
- Proficiency in using Stata, R or Python for data wrangling, causal analysis, hypothesis testing and data visualisation (essential). Familiarity or interest in learning other statistical programming languages is desirable. Proficiency in Excel is a plus.
- Strong ability to communicate empirical findings clearly through compelling visuals that simplify complex datasets or results.
- Fluency in spoken and written English and Dutch. An additional European language is a requirement for roles based in Brussels.
What we can offer you
- A highly competitive salary and bonus package with comprehensive benefits.
- An opportunity to make an impact and shape the economic landscape by working with regulators, state departments, competition authorities, law firms and other private clients and stakeholders.
- A supportive, multicultural work environment, with the option of employee mobility.
- A collaborative working environment, with client exposure from day one.
- The opportunity to work with some of the brightest and most experienced minds in the industry.
- A structured career path, with ongoing training, mentorship and development opportunities to help you grow.
- A commitment to fostering an inclusive workplace where diversity is celebrated and everyone is empowered to contribute.
Oxera LLP is an equal opportunities employer and values diversity at all levels of the organisation. We encourage applications from all qualified candidates regardless of race, gender, disability, religion/belief, sexual orientation or age.
