Top Data Analyst Jobs in Mexico

Collect, clean, and integrate data from multiple sources; build complex analytics solutions and dashboards (Power BI); collaborate with stakeholders and IT to define requirements; ensure data quality and compliance; lead UAT, technical specs, and troubleshooting for insurance-focused data initiatives.

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.

Support and lead data governance policy design and implementation, consult with stakeholders, monitor governance metrics and process alignment, lead system changes, produce enterprise policy recommendations, and train/coaching team members.

The Senior Analyst manages data operations in the High Value Data team, focusing on asset-level reporting, data quality control, and team leadership.

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

Partner with commercial leaders to produce recurring and ad-hoc analyses, build and maintain BI dashboards, design KPIs and financial analyses, develop campaign reporting, support forecasting and strategic planning, and present executive-ready insights to drive customer acquisition, retention, and margin expansion.

Support execution and adoption of the Data Transformation Plan by managing stakeholder relationships, tracking project status, analyzing data requirements, data quality, lineage and taxonomy, producing governance materials, coordinating workstreams, resolving issues, and contributing to process improvement across functions with Technology and Operations.

The role involves retrieving data using SQL, supporting advanced analytics projects, and communicating findings effectively with stakeholders to drive business strategy.

Lead analytics for an e-commerce subscription business: build Tableau/Snowflake dashboards, run A/B tests, regression and forecasting, automate workflows with SQL/Python, Airflow and dbt, and partner with Product/Marketing/Engineering to deliver actionable insights and recommendations.

Lead execution of data governance and data quality activities for customer data: identify and remediate data issues, implement data operating model, maintain metadata/lineage, support data stewards, align capabilities with data strategy, and ensure compliance with regulations and Citi policies to reduce data risk.

The Marketing Data Analyst III supports sales and marketing for Ancillary Products through data analysis, performance reporting, and project management for customer acquisition and retention.

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

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

Lead end-to-end data transformation and migration for post-merger integrations into Salesforce and NetSuite. Analyze, clean, and map complex source data, ensure GAAP-compliant revenue recognition, validate and reconcile post-migration data, and collaborate with cross-functional accounting, sales, and systems teams to resolve issues and support testing and process improvements.

The Senior Data Analyst analyzes travel and expense data to identify trends and savings opportunities, develops dashboards, and communicates insights to improve corporate travel program performance.

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.

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.

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.

Manage the end-to-end data issue lifecycle for North America: intake, triage, root cause analysis, remediation planning and execution oversight. Produce IMR reporting and dashboards, maintain audit-ready records, engage stakeholders, and improve IMR processes and tooling to strengthen data quality and controls.

The Compliance & Data Privacy Analyst ensures compliance with privacy regulations, assists with assessments, maintains records, and promotes ethical practices regarding personal data handling.

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

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.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Design, develop, and maintain management and executive reporting and dashboards to support Finance and Distribution. Perform data validation, quality assurance, and analysis of large datasets to identify trends, risks, and opportunities. Support advanced analytics projects, translate findings into actionable business insights, and collaborate with stakeholders to define reporting requirements and priorities.