Top Data Analyst Jobs in Mexico

The Data Analyst conducts AML transaction monitoring and investigations, leveraging SQL and Excel for data analysis, identifying patterns, and documentation of findings while working with large datasets.

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

The Data Analyst will automate financial data processes, implement coding solutions in Python and SQL, ensure data accuracy, and manage client database migrations. They will also streamline data flow between various financial systems and oversee reconciliation processes.

The Senior Social Data Analyst delivers insights on social media performance, developing strategies through data analysis to enhance campaign effectiveness and inform content decisions, ensuring data drives creative processes and stakeholder communication.

The Data Analyst II will analyze structured and unstructured datasets, develop metrics, create visualizations, and ensure data consistency while troubleshooting technical issues.

The Senior Data Analyst conducts complex data analyses, develops data models, creates visualizations, and manages projects while collaborating across departments to drive data initiatives aligned with business goals.

The Data Analyst will analyze complex data, build dashboards, validate data quality, and support advanced analytics projects in a fast-paced environment.

Analyze customer data to improve customer experience using SQL, Python, and statistical models to support data-driven business decisions.

As a Senior Data Analyst, you will analyze marketing performance, implement multi-touch attribution, and provide insights for strategic decisions.

The Senior Legal Entity Database Specialist will maintain and curate litigation-related data ensuring accuracy for parties and law professionals. Responsibilities include data quality control, cross-team collaboration, and dataset enhancement initiatives.

The Data Analyst will provide operational insights, automate reporting, and enhance decision-making using data. Responsibilities include building dashboards and optimizing processes.

The Reporting Analyst creates and maintains reports and dashboards, analyzes data, and provides insights to inform leadership decisions. Responsibilities include leveraging data to monitor performance metrics and collaborating with service teams.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

The Supply Chain Data Analyst will analyze supply chain data, develop dashboards, partner with various teams, and support operational efficiencies through analytics and ERP systems integration.

This internship involves data cleaning, report maintenance, dashboard creation using Power BI, and project automation using Power Automate. You will develop data analysis skills in a real-world setting.

The Marketing Analyst analyzes performance, identifies issues, provides insights for marketing strategies, and supports cross-functional teams for product launches.

The Master Data Analyst will maintain accurate SAP master data, troubleshoot discrepancies, support cost accounting activities, and provide data analysis and metrics tracking.

The Salesforce Data Hygiene Analyst ensures the accuracy and consistency of Salesforce data by resolving quality issues, developing processes, and providing analytics support.

The Data Analyst Programmer will develop data products, support TTO utility tools, optimize Power BI reports, automate workflows, manage data integrity, and provide training and quality assurance for analytics tools.

As a Product Analyst, you will empower Product Managers with insights derived from data analysis, user conversations, and behavioral trends to make informed product decisions. You'll support initiative prioritization and experimentation while creating narratives that connect data to business recommendations.

The Product Analyst will support Product Managers by analyzing data and trends, providing insights, making business recommendations, and enhancing user experiences through quantitative and qualitative analysis.

The Product Analyst will empower Product Managers through data analysis, user insights, and recommendations to inform product decisions, focusing on performance tracking and experimentation.

Design dashboards, pipelines, and reporting for labeling operations; define and track metrics for quality, throughput, and cost; support ML, Product, and CS with analytics; build SQL-based data foundations and automate analyses to scale labeling reliability.

Analyze, clean, and model large datasets; build dashboards and reports; gather and translate business requirements; collaborate with IT/data teams; provide strategic, data-driven recommendations; monitor KPIs and automate reporting processes.

The Data Analyst for AI will improve chatbot performance through data analysis, model optimization, and collaboration with engineering teams to enhance user experience.