Data Analytics & Science Specialist (Python/SQL)

HSBC; Ciudad de México; Presencial; MXN 600,000 - 840,000; Jornada completa

Descripción de la vacante

A global financial services organization in Mexico is seeking an experienced data analyst to support business functions through data analysis and reporting. The role involves utilizing Python, SQL, and Excel to pull and manipulate data, providing actionable insights, and ensuring the accuracy of automated reporting processes. Candidates must have strong communication skills and a background in finance or analytics. Competitive benefits offered, including generous leave policies.

Servicios

Generous leave policies

Flexible working opportunities

Professional development programs

Formación

• 1-2 years of experience in Data Analytics, Data Science, or Business Analytics.
• Advanced English (written and oral), assessed during interviews.
• Proven experience in Python for Data Manipulation and Automation.
• Proven experience in SQL for complex queries.
• Advanced Excel experience for data manipulation.

Responsabilidades

• Pull data from various sources using Python, SAS, and SQL.
• Analyze and interpret data for actionable business insights.
• Maintain and run automated reports and dashboards.
• Respond to stakeholder data needs efficiently.
• Perform exploratory analysis to identify trends.

Conocimientos

Python

SQL

Data Analysis

Excel

Data Automation

Communication skills

Educación

Bachelor's Degree in Accounting, Finance, Economics, Management

Herramientas

Git

GitHub

GCP

Hive

Descripción del empleo

A global financial services organization in Mexico is seeking an experienced data analyst to support business functions through data analysis and reporting. The role involves utilizing Python, SQL, and Excel to pull and manipulate data, providing actionable insights, and ensuring the accuracy of automated reporting processes. Candidates must have strong communication skills and a background in finance or analytics. Competitive benefits offered, including generous leave policies.