Top Data Analyst Jobs in Mexico

Analyze large internal and external sales datasets to identify trends, perform root-cause analysis, build forecasts, develop KPIs, and deliver dashboards and visualizations to support sales and cross-functional decisions.

Refine POS data across LACR channels, build Tableau dashboards, control weekly/monthly POS data loads and ST reports, and manage/update accessory and product databases for PCR, P25, Tetra, Wave, and FRS portfolios. Support maintenance of the A&E app (databases, images, and content).

The Commercial Data Analyst will support revenue optimization and data-driven projects, manage reporting tools, and collaborate with stakeholders to provide actionable insights based on data analysis.

AI-focused Data Analyst who extracts, transforms, and analyzes fleet-scale manufacturing and test data to deliver KPIs, dashboards, statistical analyses, and AI-enabled automation supporting NPI and product operations.

Maintain and consolidate master part and logistics data, produce reports and dashboards, identify mismatches, support customs compliance, analyze supplier performance, calculate cost savings, and recommend process and system improvements to increase efficiency and reduce costs.

Develop, maintain, and enhance ~50 Project Engineering Power BI reports; connect and validate Snowflake/SAP/PWA data; create new dashboards from user requirements; perform ad-hoc Excel and Power BI analyses; act as reporting SME, review usage, provide training, and deliver data-driven insights to stakeholders.

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 Product Analyst will provide insights to empower Product Managers, analyze user data and trends, drive business recommendations, and support product initiatives and engagement tracking.

Translate, merge, and transform data from a centralized data warehouse to produce validated, documented reports and extracts. Work with cross-functional teams to deliver BI reports (Tableau/Power BI), enforce data governance, build auditing/validation processes, and provide actionable business insights for stakeholders.

Drive AI-ready data foundations by translating business needs into scalable data solutions. Improve data flows, enable automated analytics and ML use cases, support governance, partner with engineering to build pipelines and data products, and lead validation, profiling, and adoption activities.

Partner with product managers to analyze funnels, user conversations, and experiments. Deliver dashboards, bespoke analyses, A/B test support, impact sizing, and clear data-driven recommendations to guide product prioritization.

The Salesforce Data Hygiene Analyst ensures the accuracy and consistency of Salesforce data by resolving quality issues, developing processes, and providing analytics support.

Lead data analysis, BI, and visualization efforts: collect, clean, model, analyze, and visualize large datasets. Build dashboards and reports, apply statistical methods and data mining, ensure data quality/governance, collaborate cross-functionally, and mentor junior analysts while implementing best practices for analytics and reporting.

The Master Data Analyst will maintain accurate SAP master data, troubleshoot discrepancies, support cost accounting activities, and provide data analysis and metrics tracking.

The Senior Associate Decision Scientist role involves providing analytics support by building reports and dashboards, writing SQL, and maintaining data models while collaborating with stakeholders to derive insights.

As a Product Analyst, you will empower Product Managers with insights derived from data analysis, user conversations, and behavioral trends to make informed product decisions. You'll support initiative prioritization and experimentation while creating narratives that connect data to business recommendations.

The Product Analyst will support Product Managers by analyzing data and trends, providing insights, making business recommendations, and enhancing user experiences through quantitative and qualitative analysis.

The Product Analyst will empower Product Managers through data analysis, user insights, and recommendations to inform product decisions, focusing on performance tracking and experimentation.

The role involves statistical modeling and analysis of datasets, partnering with technology and business users to create reports, dashboards, and presentations.

Manage and govern supplier master data across ERP and procurement systems. Process onboarding, updates, banking/tax changes, perform data quality reviews, audits, duplicate analysis, and root-cause investigations. Support stakeholders, enablement, reporting, UAT, audits, and continuous improvement/automation initiatives to ensure compliance and data integrity.

We are seeking a Data Analyst with strong Domo experience to build dashboards, manage data flows, and provide actionable insights for clients, primarily law firms.

Design, develop, and maintain Power BI dashboards and data models; write optimized SQL for extraction and transformation; implement data validation and quality checks; analyze large datasets for trends and anomalies; communicate findings and progress to stakeholders and participate in client engagements.

Manage master data and product lifecycle activities across systems, ensuring data integrity for materials, BOMs, and inventory. Coordinate new item setup, end-of-life processes, and cross-functional stakeholder communication. Perform reporting, data quality reviews, and collaborate with supply planners, plants, vendors, and finance to support supply chain operations.

Lead data analysis efforts to transform complex data into actionable insights for product and business decisions. Build dashboards, perform predictive modeling and data optimization, collaborate with Product/Design/Engineering, and communicate findings across teams using SQL, Python, and BI tools.

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.