Data Analytics Jobs in Mexico
There are 936 open Data Analytics jobs in Mexico on freehire right now. 256 of them were posted recently. The skills employers ask for most often are analytics, sql and ai.
Most requested skills
- analytics 29%
- sql 28%
- ai 21%
- powerbi 21%
- python 20%
- automation 18%
- sap 14%
- tableau 13%
How the work is done
- Hybrid 96 · 10%
- Remote 92 · 10%
- Onsite 34 · 4%
Visa sponsorship offered in 35% of the 77 postings that state a position on it.
Seniority
- Senior 190
- Junior 33
- Lead 24
- Middle 19
- Intern 15
- C-level 3
Who is hiring
- 1000+ employees 293
- 501-1000 employees 44
- 51-200 employees 10
- 11-50 employees 9
- 201-500 employees 2
English level
- C1 70%
- B1 22%
- B2 4%
- A2 2%
- NATIVE 1%
- A1 1%
- C2 0%
Share of the postings that state a required level (at least 20% of this market do).
Hybrid GCP Data Analyst — BigQuery, SQL & Data Pipelines
Analyzes retail, luxury, and consumer-goods data using BigQuery, SQL, and Python, ensuring quality and building cloud pipelines in a hybrid Mexico City role.
Data Analytics Engineer: Insights & Automation
Build and maintain ETL pipelines, automate reports, and create dashboards to deliver data insights that guide leadership decisions.
Databricks Analytics Engineer: Azure Data Pipelines
Builds and maintains reliable data models in Databricks and Azure, transforming raw logistics data into clean, governed pipelines for Mexico and LATAM using PySpark, SQL and Python.
Analytics Engineer: Data Pipelines & Modernization Remote
Build and maintain data pipelines to modernize insurance analytics, transforming raw data into reliable reports for decision-making.
Product Manager - AI & Data Analytics
Own and drive the product strategy for AI/ML and data analytics features, collaborating with customers to define requirements and translate them into measurable business value.
Analytics Engineer
Build and maintain ML models and analytics pipelines in Python/SQL on GCP, then deploy and monitor them using MLOps practices and tools like Bokeh and Git.
Inbound Fraud Detection Analyst
Handle customer calls to validate suspicious transactions, verify identities, and resolve fraud alerts for DiDi’s mobility platform.
[MX] Data Analytics Associate
Build and maintain Tableau dashboards that visualize ESG and sustainability metrics for clients, working with SQL, Python, and BI tools to turn application data into actionable insights.
LCL Pricing Analyst
Analyzes and sets pricing for Less-than-Container Load shipments, manages vendor performance, and updates global rate cards to optimize margins and service delivery.
Industrial Engineering Data Analyst
Analyze manufacturing data using Python, SQL, and AI to optimize production, develop predictive models, and build dashboards for process improvements in a global electronics contract manufacturer.
Systems Development Analyst
Maintain and improve IT systems supporting manufacturing and supply-chain operations, including databases and web apps using .NET, C#, and React.
Financial & Data Analyst
Build financial models, analyze operational data with SQL, and create BI dashboards to guide strategic decisions for a finance client.
Senior SAP Solution Analyst
Senior SAP Solution Analyst designs and supports SAP Sales and Distribution (SD) processes, translating business needs into system requirements and ensuring smooth order-to-cash operations.
Data Analyst
Analyze enterprise infrastructure markets (servers, storage, cloud, AI) to produce forecasts and insights using Excel, Power BI, and Python, then present findings to stakeholders.
Data and Analytics Analyst
Analyzes tech markets and AI platforms, builds financial models, and delivers insights using Excel, Power BI, and Python to guide business strategy.
Business Intelligence Analyst
Analyze payment data and customer requests to create reports in Power BI and Excel, then resolve issues via calls and messaging to improve client experience for a Latin American fintech leader.
Junior Data Analyst
Junior data analyst writes SQL queries and Python scripts to validate, clean, and reconcile large datasets across systems, ensuring data quality and consistency.