Top Data Analyst Jobs in Mexico City

The Industry Data Analyst Jr. analyzes and disseminates data insights for professional markets, conducts presentations, manages client interactions, and contributes to content production and research projects.

As a Senior Business Data Analyst, you will lead client engagements, translate business questions into analytical work, and deliver impactful data products while leveraging AI tools for efficiency.

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

Responsible for transforming Cloud Data into strategic insights, creating analytical workflows, managing the data lifecycle, and collaborating with teams for reporting efficacy.

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.

The Data Analyst II will analyze data sets, create visualizations, troubleshoot database issues, and perform quality assurance to improve accuracy and efficiency.

The Data Analyst will analyze complex supply chain data, recommend process improvements, ensure data accuracy, and support AI initiatives across multiple enterprise systems.

Monitor and maintain payment performance for Stripe's largest users, analyze data, and automate processes to improve reliability and efficiency.

Manage tracking plans and data governance for customer and product analytics. Build Mixpanel dashboards, translate business needs into technical requirements, validate data quality, consult stakeholders, and support data integration across data-marts and warehouses. Liaise between IT and Product, troubleshoot data issues, and continuously improve analytics platforms and documentation.

The Data Analyst role involves querying and optimizing data in Amazon Redshift, utilizing Amplitude for behavior analysis, designing A/B tests, and creating dashboards to monitor product metrics.

Responsible for documentation of engineering systems, requiring strong software engineering skills and proficiency in cloud and DevOps environments, particularly Azure and Terraform.

As a Data Analyst, you will analyze large datasets using advanced statistical techniques to drive business insights and support decision-making while mentoring team members.

The Data Analyst role focuses on leveraging advanced analytics to address strategic business challenges, including designing and implementing analytical solutions.

The Revenue Operations Data Analyst will analyze datasets, optimize dashboards, and develop data pipelines to support revenue operations and strategic decision-making.

The role involves analyzing data for advertising campaigns, automating reporting workflows, and providing actionable insights to drive client growth through strategic data use.

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 II will analyze structured and unstructured datasets, create visualizations, perform data quality checks, and troubleshoot technical issues while developing metrics and reports.

Analyze and report on campaign performance across platforms and countries, audit attribution and data quality, create cohorted performance reports, troubleshoot tracking issues, and recommend optimizations and model refinements.

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

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