37 Data Analyst jobs in Mexico available for remote work from home. Apply for positions such as Data Analyst, Online Data Analyst - Spanish (MX), Data Analyst - Water Infrastructure and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Data Analyst will partner with cross-functional teams to build foundational data models, dashboards, and deep-dive analyses. They will translate ambiguous business questions into actionable insights to help make the company data-driven.
The role involves enhancing the quality of digital maps by performing research and evaluation tasks in a web-based environment. You will verify and compare data to ensure the relevance and accuracy of information for AI model development.
You will own and evolve production Tableau dashboards and Snowflake-backed data sources while investigating data discrepancies to their root cause. Additionally, you will leverage AI tools to build and validate data logic while translating complex insights for non-technical stakeholders.
The Product Analyst will analyze user behavior and experimental results to drive product decisions and health outcomes. They will also manage data pipelines, build dashboards, and support academic research initiatives through statistical analysis.
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The Senior Data Analyst will modernize FP&A processes by building automated, scalable data pipelines and analytical tools. They will partner with leadership to reverse-engineer legacy systems and implement AI-assisted workflows to improve financial reporting and decision-making.
The Data Analyst will design and maintain BI dashboards while partnering with cross-functional teams to deliver actionable insights. Additionally, the role involves experimenting with AI tools to automate workflows and improve decision-making processes across the organization.
The Junior Data Analyst will assist in collecting, cleaning, and organizing data while building reports and visualizations to support business teams. They will also monitor key metrics, investigate anomalies, and document data processes.
Design, build, and maintain data models, dashboards, and reports to support cross-domain projects. Bridge the gap between business and technical teams while creating transparent processes and managing large datasets.
You will act as a bridge between Finance and Data to unify financial data stacks and ensure data accuracy for leadership decision-making. Responsibilities include maintaining financial infrastructure, tracking core KPIs, and performing FP&A tasks like forecasting and budget analysis.
The Grants Payments Data Analyst will build and maintain forecasting models for clinical site payments while collaborating with cross-functional teams to ensure financial accuracy. They are responsible for creating client-ready deliverables, performing variance analysis, and ensuring compliance with audit requirements.
You will pull, clean, and structure operational data while maintaining dashboards and documentation to ensure reporting continuity. You will also leverage AI tools to automate repetitive tasks and provide diagnostic analysis for leadership.
The role involves analyzing digital marketing campaign performance and optimizing yield through data-driven investigations. The analyst will develop automated business processes and communicate actionable insights to improve business growth.
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The role involves performing statistical modeling and analysis of structured and unstructured datasets to develop metrics and visualizations. The analyst will create complex reports, demand forecasts, and identify opportunities for automation and efficiency.
Extract, query, and manipulate large-scale consumer and retail datasets using SQL to identify business trends. Translate complex data into actionable insights and maintain structured datasets for recurring reporting.
Build and maintain dashboards and dataflows in Domo while managing ETL processes to integrate data from legal case management systems. Lead client meetings to gather requirements and translate operational workflows into actionable reporting insights.
The Senior Data Analyst will support the Enterprise Risk Management function by developing insights, tracking risk indicators, and performing data-driven risk assessments. They will also monitor security alerts, track audit remediation progress, and recommend mitigation strategies to improve control effectiveness.
The role involves integrating and transforming raw data from multiple marketing sources to ensure accurate tracking and reporting. You will also partner with cross-functional teams to define KPIs and perform deep-dive analyses to identify growth opportunities.
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The primary function is to provide data products to the MCP IT/IM team for major capital projects, involving gathering requirements, identifying data sources, and developing, supporting, and troubleshooting various work products and tools. Responsibilities include ensuring data integrity, timely communication, managing security, and providing support and training for developed analytics and tools.
Analyze large-scale datasets to generate actionable insights and develop complex SQL queries for data extraction and analysis. Work with BigQuery and GCP for data processing, and build dashboards using Looker.
The Senior Data Analyst will support organizational data engineering efforts by maintaining a high-quality data ecosystem and ensuring data completeness. Responsibilities include implementing SQL queries, identifying data discrepancies, and collaborating with business teams to address data needs.
The analyst will manage the Insider Threat and Data Loss Prevention programs to protect sensitive company data. They are responsible for enabling a securely connected digital business and maintaining the organization's security posture.
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