Top Data Analyst Jobs in Mexico

Analyze digital marketing campaign performance, investigate product and business issues, identify growth opportunities, and develop optimization strategies. The role requires working with enterprise datasets, analytical tools, automation, predictive analysis, segmentation, and visualization to deliver actionable insights and communicate data-driven recommendations to stakeholders and media partners.

Analyze digital marketing campaign performance, develop deep understanding of data sources and analytics tools, automate processes, identify growth opportunities, communicate insights, and deliver actionable optimization plans.

Design, build, test, and monitor data pipelines and ETL/ELT processes on Databricks. Ensure data quality, implement API-based ingestion, collaborate with stakeholders and cross-functional teams, maintain documentation, and optimize pipeline performance and reliability.

Own Finance and Post-Sales analytics and reporting, build board-ready metrics (MRR/ARR, churn, revenue attribution), unify Sales and Post-Sales customer lifecycle, maintain external partner dashboards, and create automated BI dashboards and models in Sigma and Tableau using SQL and dbt, leveraging AI to automate workflows.

Lead paid media analytics for Life Company, using SQL/Python and advanced statistics to measure and optimize paid social/search and AI-powered search. Build audience segmentation, run incrementality/experimentation, create visualizations and recommendations, and partner with marketing to drive acquisition and engagement.

Lead design and implementation of a company-wide data protection program. Perform data discovery, gap analyses, access reviews, and recommend controls and monitoring. Collaborate with Security Engineering, GRC, and business units to align security controls with NIST/industry frameworks and report data risk to leadership.

Design, build, and maintain a unified Security Master for equities, fixed income, and derivatives. Implement data quality frameworks, process corporate actions, automate workflows with SQL and Python, collaborate with product and client teams, and lead process improvements to ensure high data accuracy and operational efficiency.

Perform product data entry and maintenance, run data quality checks and basic analysis, manage product hierarchies, document standards, enforce governance policies, support stakeholders and continuous improvement, and provide basic training on product data processes.

Collect, prepare, validate, and report statistical data for property and casualty insurance. Develop and maintain reports and analytic tools, support metadata and data dictionary upkeep, and coordinate with actuaries, product managers, regulatory affairs, finance, and IT to meet reporting requirements.

Build, automate, and validate preventive and detective controls across operations. Write and optimize SQL, develop Python (pandas) scripts to test controls, create BI dashboards (Tableau/Looker/Power BI), investigate exceptions, document control logic, and partner with cross-functional teams to embed and remediate controls in production workflows.

Senior Data Analyst leads content analytics, learner feedback structuring, and business-impact measurement for Trailhead. Build semantic models, data pipelines, and predictive/cohort methodologies to connect engagement and survey signals to commercial outcomes. Own dashboards, metric definitions, and translate findings for stakeholders and AI agents.

Maintain global item master data integrity, run daily reports and metrics, monitor IDW/IDEA for data distribution, manage mass uploads and workflow requests, and implement proactive data completeness and accuracy checks.

The role involves developing predictive analytics models using Python, creating reports, conducting data evaluation, and communicating insights to support business decisions.

Lead and own client-specific QA programs for generative AI data: set QA strategies, run root-cause analyses and CAPA, plan rater training and certification, maintain dashboards, manage escalations, standardize SOPs, pilot automations, coach raters, and ensure secure data handling across distributed teams.

Lead a team of analysts to analyze large datasets, build predictive models, create visualizations and reports, collaborate with cross-functional stakeholders, and ensure data quality to optimize sales performance and guide strategic decisions.

Lead analytics for the curriculum subscription/ecommerce business and Post-Sales, partnering with stakeholders to deliver GTM, retention, and financial insights. Build and maintain data models and pipelines with SQL and dbt, automate and maintain BI dashboards (Sigma, Tableau), own weekly business review source files, and translate analyses into actionable recommendations.

Partner with business stakeholders to define reporting needs, develop and maintain dashboards and data sets, support BI/data warehouse and ETL processes, manage Tableau sites, and provide analytics expertise and training to enable data-driven decisions.

The Data & Analytics Analyst will create and maintain reporting artifacts, partner with stakeholders, enhance analytics solutions, and support the analytics community.

Gather and document requirements for SAP SuccessFactors talent projects, design and support data integration (ETL/API), produce process maps and test plans, liaise between business and technical teams, support change management, and identify/mitigate integration and project risks.

Build, maintain, and optimize data pipelines and ETL integrations (BigQuery, Fivetran, dbt). Design automations (n8n/Zapier/Make), ensure data quality and system reliability, document workflows, troubleshoot pipeline issues, and translate business needs into scalable systems to eliminate manual work.

The Senior Data Analyst will drive performance monitoring and decision-making through actionable insights, complex data analysis, and visualization. Responsibilities include KPI identification, dashboard creation, and training for data-savvy users.

The Business Application Analyst - Master Data will support SAP material master system, manage data governance, facilitate training and develop processes to optimize data handling in the organization.

Build interactive Tableau visualizations and dashboards, wrangle and analyze data using SQL, Snowflake, and Salesforce, automate reporting, support data engineering and pipeline maintenance, audit and ensure dataset quality, and partner cross-functionally to translate business needs into actionable analytics.

Oversee credit operations, ensure accuracy of customer master data, collaborate with sales, and drive process improvements in credit management.

Oversee daily credit operations, ensure accuracy in customer master data, collaborate with stakeholders, support process improvements, and maintain compliance with data governance standards.