Mission and Proposal:
IESE is one of the world's leading international graduate business schools. Its IT Division is looking for a Responsible of the IT Business Unit for Corporate applications (Finance).
Main Responsabilities:
IESE Business School at the University of Navarra is currently accepting applications for a Research Assistant position starting in July 2024. This opportunity provides an excellent platform for recent graduates with a background in data science (bachelor's or master's degree) who are keen to develop skills in web scraping and to pursue a career in quantitative research in applied microeconomics, business or any related field.
You will work under the supervision of Prof. Hester Zhang, whose research interest lies in empirical industry organization. Her ongoing projects study economic and managerial implications of digital platforms.
Responsibilities:
· Collaborate with Prof. Zhang to develop Python scripts for data scraping from designated websites.
· Monitor and maintain daily scraping activities to ensure data collection accuracy and efficiency.
· Organize and manage the scraped data to facilitate research analysis and reporting.
· Assist in other research tasks as required, such as data analysis and literature reviews.
Key qualifications:
· Proficient in Python.
· Prior experience in website scraping is highly preferred, but not necessary. Training in scraping will be sponsored for the selected candidate.
· Strong organizational skills, with the ability to work autonomously and efficiently.
· Demonstrated motivation to learn and a strong work ethic.
IESE Business School at the University of Navarra is currently accepting applications for a Research Assistant position starting in September 2024. This opportunity provides an excellent platform for recent graduates with a background in economics or business (bachelor's or master's degree) who are keen to pursue a research career in applied microeconomics, with a specific focus on industrial organization, public economics, or labor economics.
You will work under the supervision of Prof. Hester Zhang, whose research interest lies in empirical industry organization. Her ongoing projects examine competition policies in the European Union and the United States using a structural approach.
Key qualifications:
· Hold a bachelor's or master's degree in economics, business, or a related field.
· Strong organizational skills, with the ability to work autonomously and efficiently.
· Demonstrated motivation to learn and a strong work ethic.
· Proficiency in English (at least B2 level) is essential.
· Familiarity with academic literature and experience conducting literature searches.
· Experience using statistical software packages such as STATA, Matlab, R, and/or Excel.
· Prior exposure to data collection and data cleaning processes is advantageous.
IESE Business School is committed to the development of leaders who aim to have a deep, positive and lasting impact on people, firms and society through professional excellence, integrity and spirit of service. IESE attracts and develops talented professionals to run its diverse programs. IESE’s people live the school’s mission on a day-to-day basis, maintaining the institution as one of the top business schools in the world.
BIDS Areas
I. Business Intelligence. Handling all needs related to CRM and data analysis.
II. Participant Digital Journey. Looking after the unified experience of participants throughout their relationship with IESE, from the moment of enrollment through to becoming an alum.
III. Classroom Digital Experience. Handling participants’ digital experience during sessions, whether in person, hybrid or online. Audiovisual services will be included in this unit.
IV. Technology Services, this large group brings together all tech services that support school operations. At the same time, it is organized into these teams:
Work will include assisting with business model innovation research, focused on development of cases involving data collection and analysis as well as literature review and other research activities related to entrepreneurship, strategy, and organization theory research topics. Business model innovation presents new and exciting business opportunities for value creation that are anchored in the (re)design of firms’ business models to reinvent and reimagine themselves. The exponential increases in computing power, almost ubiquitous connectivity, and algorithmic advances in artificial intelligence have vastly expanded both the variety of business models and their influence on firm performance. Research activities will center on studying this business model revolution—that is, from products to platforms, from firms to ecosystems, and from individuals to algorithms. Additional areas of research include linguistic approaches examining the role of language and time, including analysis of entrepreneurial framing and issues related to sustainability and process-based historical case analysis.
General research activities on practical and applied articles aimed to be published in practitioner-oriented journals. The activities include:
The activities also include
The assistant will be responsible for: data gathering and preparation, qualitative data coding, and interpretation and organization of qualitative data, as well as quantitative analysis. The assistant will also be involved with gathering and organizing research literature in entrepreneurship-related topics as related to climate change, innovation, corporate entrepreneurship, and adaptation.
The RA will be involved in multiple projects related to sustainable finance. Specifically, we will analyze new state-funded investment vehicles in the US and EU (e.g., Green banks) Also, we will explore the role of nature and biodiversity on firms, financial markets, and household finances. The RA will perform data collection and empirical analysis. The RA will have exposure to state-of-the-art empirical analysis and novel datasets including satellite data. Lastly, the RA will have the opportunity to be on a research teams which includes research from top institutions in US and EU (e.g., Harvard, London Business School, American University).
Key Functions
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