Top Data Analyst Jobs in Mexico

Analyze and improve data ingestion processes, data quality, reporting standards, and operational performance. Validate loading statistics, cleanse data, resolve inconsistencies, execute testing, track project milestones, document procedures, and coordinate data requirement changes with business, technology, supplier, and client stakeholders. Develop metrics and reports, support reporting entities, and implement data solutions that improve efficiency, reliability, and service quality.

Build and maintain BI dashboards, reporting tools, and automated data workflows. Analyze customer behavior, funnels, retention, engagement, and product adoption to deliver actionable insights across Product, Operations, Marketing, Finance, and Leadership. Use AI tools and APIs to improve analytics workflows, self-service exploration, data-quality checks, and insight generation while validating accuracy, privacy, and business impact.

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.

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.

Support HR Data Lake expansion through data discovery, mapping, validation, governance, quality management, and flow analysis. Gather requirements from HR and technical stakeholders, develop reporting and analytics solutions, improve HR processes through automation and redesign, and support HR transformation initiatives. Coordinate cross-functional projects, document processes and data definitions, monitor implementation risks, and partner with HRIS teams on Workday and broader HR technology programs.

Designs and maintains Power BI dashboards and reports, develops Python data transformation scripts, and supports Azure Data Factory pipelines and Azure SQL databases. Applies data warehousing and dimensional modeling principles, translates business needs into reporting solutions, documents data logic, resolves data quality issues, and follows governance requirements while communicating findings to nontechnical stakeholders.

Manage customer and item master data in J.D. Edwards and Oracle ERP systems. Ensure data accuracy, consistency, integrity, and compliance with quality standards. Coordinate cross-functional data setup activities, lead progress meetings, resolve data issues with Product Management, Engineering, Sales, Finance, and Supply Chain, and document data management processes.

Analyze and troubleshoot data incidents, investigate discrepancies, identify root causes, and maintain data quality across healthcare analytics platforms. Create SQL validation queries, review application code, monitor trends, document findings, and recommend solutions. Collaborate with cross-functional teams on production support and change requests while applying ITIL practices. The role is fully remote, supports Latin American teams, and operates on a U.S. Eastern Time schedule.

Design and maintain RPA automation and BI/analytics solutions for manufacturing. Build dashboards, integrate ERP/MES/IoT data sources, create industrial data pipelines, and deliver actionable KPIs to improve operational efficiency and support digital transformation.

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.

Collects, validates, analyzes, extracts, and enters private equity and venture capital data according to established guidelines. Conducts secondary and thematic online research, meets quality and productivity targets, troubleshoots issues, supports teammates, and contributes ideas for workflow, process improvement, Lean, automation, and product enhancements. The role requires Chinese proficiency, strong analytical skills, attention to detail, teamwork, adaptability across shifts, and effective communication.

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.

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.

Build and maintain data models, dashboards, reports, and dbt models supporting cross-functional decision-making. Process large datasets, establish reporting sources of truth, bridge technical and business teams, and document knowledge bases and business definitions for internal AI systems. The role also involves identifying cost-saving opportunities, communicating with stakeholders, and using AI to develop solutions and fix bugs.

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.

As a Data Analyst, you will monitor payments performance, investigate issues, respond to user inquiries, and optimize operational processes in a fast-paced environment.

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

Lead analytics strategy for global performance marketing by analyzing paid media, digital advertising, and campaign performance. Deliver executive reporting, ROI and incrementality analyses, experimentation, SEM payback modeling, and actionable recommendations for resource allocation and growth. Connect marketing activity with Salesforce sales pipeline data and collaborate with Marketing, Growth, Product, Sales, and Customer Success leaders to influence strategy and improve acquisition, engagement, and retention.

Maintain and control pricing master data in SAP and Salesforce, manage pricing processes and rebates, support sales teams with pricing actions, ensure compliance with internal controls, provide SFDC pricing tool administration, and participate in global projects.

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.

Analyzes structured and unstructured datasets using statistical modeling, exploratory analysis, forecasting, SQL, Excel, and visualization tools. Creates complex reports, dashboards, metrics, and demand forecasts; identifies trends, gaps, and automation opportunities; validates data quality; troubleshoots database issues; and supports data infrastructure and reporting improvements.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Provide day-to-day Aras PLM operational support, troubleshoot user issues, monitor data quality, drive process improvements, gather and validate requirements for system changes, support testing/UAT, create documentation and training, and liaise between business and IT stakeholders globally.

Senior data analyst responsible for statistical modeling, EDA, forecasting, building complex reports and visualizations, assembling large datasets, troubleshooting data issues, performing QA, and improving data systems and forecasting techniques.