Top Data Analyst Jobs in Mexico

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.

Partner with cross-functional teams to define metrics, write SQL, build dashboards, run exploratory analyses, and create Python-based analytics workflows. Deliver scalable reporting, root-cause analyses, and insights using visualization tools and modern AI assistants to drive business decisions and operational improvements.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline 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.

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.

Work with tower leaders, key users and SMEs to gather and validate process data across sites; perform preload and post-load data QA; resolve defects with cross-functional teams; ensure E2E data quality for tool adoption; validate parameter tuning; understand global template design and deliver plant/network-level information.

Analyze commercial, financial, and operational data to identify trends and insights; build and maintain reports and dashboards; consolidate and validate multi-source data; support forecasting, planning, and ad-hoc analyses; prepare executive presentations and stakeholder materials; improve reporting processes and automation while collaborating with cross-functional global teams.

Collect, cleanse, and analyze data to produce dashboards, reports, and automated pipelines. Provide actionable insights for engineering and business stakeholders, modernize manual workflows, and support AI-enabled solutions and process improvements.

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

Apply ML and AI tooling to global support operations data: build forecasting models, design LLM classification pipelines, develop text-embedding and vector search workflows, write Python data pipelines and visualizations, query Snowflake for analysis, and translate model outputs into leadership-ready narratives.

Design, build, and maintain Snowflake data models and ETL/ELT pipelines (delta pipelines, MERGE, incremental loads). Partner with ops to scope solutions, lead CRM migration data workstreams, automate pipelines with Python, and ensure downstream BI/ML data quality and documentation.

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.

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.

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 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.

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.

Manage and audit supply chain master data in information systems, create and update parts and BOMs, support new product introductions and engineering changes, coordinate material change meetings, ensure data complies with GALIA/VDA and customer/supplier logistics protocols, and support quality system activities like Compass 1000.

Support warehouse operations by analyzing performance data, building dashboards and reports, automating recurring reporting, validating data, and providing actionable recommendations to improve productivity, labor utilization, inventory accuracy, and service performance. Partner with operations leadership for staffing, forecasting, and continuous improvement through statistical analysis and ad hoc investigations.

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