Economic Modeling Research Associate Manager

This role is part of Accenture Research’s global innovation team with a focus on economic research.

The candidate will be working closely with other teams of data scientists, economists, and the data visualization team to guarantee a successful collaboration between data-driven outputs and storytelling deliverables.
We are looking for a candidate with experience in economic analysis, setting up econometric and structural models and fluency in writing reusable code for building the datasets and setting analytical frameworks.
The ideal candidate has a passion for economics and data-driven insight discovery as well as business acumen to help solve the world’s most complex problems at the intersection of business, technology, and society.

We offer a career aligned to our priority of creating innovation and impacting business, managing complex data driven research projects, with multinational and multidisciplinary teams. Our projects cover topics related to rapid response and business resiliency, the future of work, sustainability, technology transformation and have included collaborations with the World Economic Forum, Harvard, and MIT, leading regional and multinational industry associations, ecosystem partners and NGOs.

Key Responsibilities include:

• Frame economic research problems

• Help in the design and execution of groundbreaking and differentiated economic research at the intersection of business and technology

• Develop novel data-driven approaches to support current and future research projects

• Collaborate in raising awareness and understanding of economic and data science research tools and outputs within Accenture and Accenture Research (econometric modeling, text analytics, sentiment analysis, data-wrangling, machine learning, etc.)

• Support global research projects on themes aligned to Accenture priorities

Experience and skills:

• Experience setting up econometric and structural models

• Experience in writing reusable code, and datasets

• Strong interest in Technology and Business analytics and research

• Strong interest in the economic research agenda as well as in themes such as technology innovation and labor markets

• Strong analytical skills and a proven ability to make sense out of data

• Excellent understanding of economic modeling tools (e.g., Stata, R, Python) and techniques (cross-section and time-series econometrics, causal inference, and experiments design)

• Deep analytical skills, including understanding of how to leverage Generative AI to address research questions.

• Strategic problem solver

• Excellent communication (written and oral) and interpersonal skills

• Strong professional qualities: client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines

• Ability to work in a global, multi-cultural team

• Excellent English.

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