Economic Data Analyst (Latin America) Hybrid

ISI; Bogotá; Híbrido; COP 40.000.000 - 80.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Full-time contract

Remuneration package

International company

Hybrid work model

Descripción de la vacante

ISI is seeking a economics-focused professional to maintain and enhance our Latin American time-series databases. You will manage in-house economic data, perform data mining, and ensure QA/QC standards while collaborating with the customer success team and data sources.

Hybrid work (2 days in office, 3 days at home) in Bogotá, Colombia, and a strong professional network with official data issuers is a plus.

Formación

• Bachelor or Master in Economics or Finance.
• Proficient in English (spoken and written).
• At least 1 year of relevant experience in macroeconomic research or databases; fresh graduates considered.
• Network with official data issuing sources advantageous.

Responsabilidades

• Maintain and enhance the quality and coverage of in-house economic databases.
• Data mining and expansion on the coverage of our in-house economic database.
• Implement and adhere to in-house preset measures of quality assurance and quality control.
• Understand and have strong responsibilities on own job scope and tasks or projects assigned.
• Attend to clients’ queries and close cooperation with customer success team and with official data issuing sources.
• Ensure high quality of our products.
• Participate in workflow and system project improvements.
• Other ad-hoc and projects as requested by manager.

Conocimientos

Economics background

Macroeconomic research

English proficiency

Database maintenance

Educación

Bachelor's or Master's in Economics/Finance

Descripción del empleo

ISI is seeking a economics-focused professional to maintain and enhance our Latin American time-series databases. You will manage in-house economic data, perform data mining, and ensure QA/QC standards while collaborating with the customer success team and data sources.

Hybrid work (2 days in office, 3 days at home) in Bogotá, Colombia, and a strong professional network with official data issuers is a plus.