Top Data Analyst Jobs in Mexico City

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.

Provide data analysis and reporting as a virtual assistant: create and maintain reports, perform data entry and validation, generate visual insights, collaborate with stakeholders, track action items, and improve workflows to optimize reporting efficiency.

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

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.

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

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

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.

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.

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.

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.

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.

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.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

The Senior Data Analyst analyzes large datasets, develops SQL queries, utilizes Python for analytics, and collaborates on insights within GCP and BigQuery.