Top Data Analyst Jobs in Mexico City

The Data Analyst is responsible for managing large datasets for risk modeling and financial analysis, ensuring data integrity and security. The role involves collaboration with cross-functional teams to facilitate data flow, validate incoming data, and transform raw data into insights for credit risk models.

The Data Analyst will manage and validate large datasets used for risk modeling and financial analysis, ensuring data integrity and collaborating with cross-functional teams. The role involves maintaining databases, collecting data, and transforming raw data into insights for forecasting reports.

As a Data Analyst, you will work closely with internal teams to investigate driver issues, analyze data to enhance communication and incentive programs, and optimize existing reporting processes. You will also look for opportunities in driver engagement and supply availability to drive improvements.

The Data Analyst II is responsible for analyzing structured and unstructured data sets, creating metrics, and developing reports and visualizations. Other responsibilities include troubleshooting technical database issues, ensuring data quality, and working on data infrastructure needs while collaborating with analytics experts to enhance data functionality.

As a Data Analyst at Nielsen, you'll analyze extensive data for client decision-making and ensure data integrity across various systems. Key responsibilities include collaborating with analytics teams, identifying data anomalies, and delivering insightful recommendations while adhering to project timelines and contractual agreements.

The Data Analyst will shape the data architecture at Forage, supporting the design and implementation of data pipelines and ETL processes. They will collaborate with multiple departments to provide data-driven insights and will develop and optimize SQL queries and reports.

The Market Research & Data Analyst will conduct research, data triangulation, and analysis to support client projects. Responsibilities include managing research methodologies, ensuring quality control, and developing engaging content. The role requires collaboration with various stakeholders and an understanding of multiple sectors, often involving data from both external and internal sources.

As a Data Analyst at Monks, you will analyze and interpret digital advertising performance data, focusing primarily on social media. Your role involves generating insightful reports, collaborating with content teams for optimization, and identifying brand opportunities to enhance strategies.

As a Data Analyst at Hitachi Vantara, you will deliver analysis and dashboards to enable decision-making, apply statistical analysis, track KPIs, and collaborate with various teams to improve business processes. You will transform large data sets into actionable insights and support process improvement projects.

As a Product Data Analyst at Sezzle, you'll enhance business outcomes through analytics by working with business teams to understand their needs. Your role involves writing SQL queries, generating charts, and developing dashboards to provide data insights and support decision-making across various departments.

As a Data Analyst at G-P, you'll drive data-driven decision-making by collaborating with AI product teams, performing analyses with tools like SQL and Python, and presenting insights to leadership. You'll optimize product performance through monitoring metrics and conducting A/B testing, while cultivating a data culture by providing training and championing data governance initiatives.

As a Senior Data Analyst, you'll provide actionable insights through financial data analysis and business intelligence. You'll lead data analysis projects, manage KPIs, develop data models, and create dashboards using visualization tools. The role includes mentoring junior analysts and ensuring data quality and governance while staying updated on industry trends.

The Data Reporting Analyst will lead data activities for the Immigration Department, including establishing data integrity protocols, performing analytics, reporting functions, and overseeing data projects. Responsibilities include data migration, creating dashboards, automating reports, auditing data, and assisting with client data needs.