Top Data Analyst Jobs in Mexico

Analyzes procurement and operational data to identify improvement opportunities, optimize performance, and support process efficiency. Extracts and consolidates information from multiple systems, develops automated dashboards and periodic reports, validates data quality, and produces predictive analyses and capacity scenarios. Provides analytical support for inventory, material availability, demand patterns, costs, quality, and stockout trends within SAP and related systems.

Analyze vehicle identifier data quality, identify inconsistencies, quantify affected records, and develop remediation plans with clients. Execute or support data corrections, create dashboards to measure quality before and after remediation, validate source-level corrections, and document exceptions. The role requires SQL, Python, BI reporting skills, strong analytical and communication abilities, and 2–4 years of relevant experience.

Analyzes and profiles data across Informatica MDM and Data 360, manages data quality issues, identifies trends and root causes, triages defects, supports end users and data stewards, and assists with UAT and technical implementations. The role requires strong SQL skills, data quality expertise, issue tracking experience, and collaboration with product and engineering teams.

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.

Monitors end-to-end order processing, automated order exceptions, backorders, pricing, inventory, and fulfillment for the China market. Builds Tableau and Excel reports, dashboards, and KPI scorecards; analyzes operational data and root causes; coordinates with IT, sales, finance, supply chain, customers, and logistics partners. Supports purchasing, equipment financing, demo equipment, pricing administration, compliance, and process improvement while maintaining accurate records and service-level performance.

Manage and govern product and process master data in JD Edwards, including item masters, BOMs, routings, work centers, standard costs, and engineering changes. Validate data against manufacturing processes, support NPI and product transfers, investigate discrepancies, and drive corrective actions. Develop data governance standards, dashboards, and KPIs; support costing and system enhancements; and train users while collaborating with engineering, manufacturing, quality, operations, supply chain, and IT teams.

The CIAM Business Analyst gathers and prioritizes customer identity requirements, translating business needs into epics, features, user stories, acceptance criteria, and process flows. The role partners with product, security, architecture, engineering, UX, and digital teams to improve registration, authentication, authorization, identity lifecycle, and account recovery experiences. Responsibilities include backlog management, Agile ceremonies, customer journey analysis, UAT support, requirements validation, risk and dependency tracking, and continuous improvement of CIAM capabilities across digital channels.

Lead Product Data Analyst responsible for marketplace modeling, advanced SQL analysis, A/B testing, reporting, dashboard development, metrics governance, and dbt-powered data modeling. The role partners with product managers and stakeholders to turn analysis into business decisions, improve data self-service, document trusted metrics, and nurture a data-driven culture. It is a fully remote individual-contributor position focused on the Pro supply side of the marketplace.

Supports performance analysis teams with portfolio monitoring, reporting, and data and risk operations. Reviews and reconciles quarterly reports, capital account information, and fund cash flows; manages client data requests and reporting deadlines; analyzes portfolios across strategies, sectors, and geographies; and develops financial markets and private markets expertise.

Build and maintain Tableau and Power BI dashboards, analyze manufacturing, operational, and financial data, and write SQL in Snowflake. Collaborate on dbt data models, validate reporting accuracy, document metrics, and train business users on self-service analytics. The role requires strong BI visualization skills, foundational data modeling knowledge, and basic Python for data wrangling and automation.

Execute operational instructions for generating service information, analyze product, pricing, and sales data, categorize products, generate reports, and identify production errors. The role follows defined operating procedures under close supervision and supports process improvements and special projects. Candidates need at least six months of data or information analysis experience, advanced Excel skills, conversational intermediate-to-advanced English, and technical or university studies in a relevant field. Programming knowledge is preferred.

Owns supplier master data governance and serves as the regional subject matter expert for supplier onboarding, maintenance, validation, compliance, and lifecycle management. Maintains accurate records across ERP and procurement systems, leads data quality reviews and issue resolution, supports audits and UAT, trains stakeholders, and improves workflows through automation and process standardization. The role collaborates globally with Procurement, Accounts Payable, Compliance, Tax, Treasury, and governance teams in a high-volume shared services environment.

Builds automated analytics and reporting solutions for FP&A by reverse-engineering Excel processes, querying and reconciling multi-system data, developing dashboards and interactive HTML reports, and exploring AI-assisted workflows. The role performs exploratory and driver-based analysis, improves data pipelines and data marts in partnership with engineering teams, monitors exceptions, translates findings for Finance leaders, and helps establish an AI repository for repeatable FP&A processes.

Develops and maintains forecasting models for clinical site payments, integrating Medidata Payments data and supporting financial reporting. Analyzes plan-versus-actual performance, budget variances, and forecast risks; prepares client-ready reports and reconciliations. Partners with Revenue Recognition, Clinical Operations, Project Analysis, and planning teams to support audits, change orders, study closeouts, compliance, and sponsor reporting requirements.

Build and manage Databricks-based data platforms across regions. Responsibilities include gathering data requirements, developing and testing ETL/ELT pipelines, implementing data quality checks, integrating APIs and data sources, monitoring workflow performance, coordinating with cross-functional teams, and maintaining technical documentation.

Build and maintain dashboards and recurring reports, clean and analyze operational and sales data, monitor KPIs, identify trends and anomalies, and provide actionable recommendations to managers and client stakeholders. Automate reporting processes, document data definitions, and support proactive decision-making for U.S. clients. The role is fully remote and requires collaboration during U.S. business hours.

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.

Own the growth experimentation program, including test design, power calculations, statistical rigor, readouts, and anytime-valid monitoring. Build a trusted acquisition-to-conversion funnel across paid, organic, and partner channels, incorporating CAC, LTV, and conversion metrics. Extend self-serve experimentation tooling in Lightdash and Python, improve instrumentation with Segment and Flagsmith, automate routine analysis, and influence Growth PM and marketing decisions through clear, statistically sound insights.

Develop and maintain master data records in Oracle R12 and related systems. Review data requests, validate data quality, resolve duplicates and inconsistencies, and support customer and organizational master data processes. Collaborate with cross-functional teams to gather requirements, standardize data, analyze trends, and identify process improvements that support operational and strategic decisions.

Build and maintain scalable AWS data pipelines and ingestion frameworks for batch, streaming, and CDC workloads. Develop Spark and PySpark transformations, manage S3-based data lakes with Apache Iceberg, and use Glue, Athena, Lambda, and IAM. Collaborate cross-functionally, monitor pipeline health, resolve data quality issues, document architectures, and deliver reliable production data solutions.

Designs and maintains scalable AWS data pipelines supporting batch, streaming, and CDC processing. Builds Spark and PySpark workflows, manages S3-based data lakes with Apache Iceberg, and uses Glue, Athena, Lambda, and IAM for orchestration, querying, event processing, and access control. The role monitors pipeline health, resolves data quality issues, documents architecture, and collaborates with analysts, data scientists, and platform engineers. Requires at least two years of hands-on AWS data engineering experience.

Supports the setup, approval, release, and tracking of new part numbers, bills of materials, and engineering change orders. Reviews changes for compliance with engineering and process standards, assigns tasks, resolves system or process issues, escalates delays, and supports testing of new tools and processes. The role requires cross-functional coordination, knowledge of Oracle procedures, strong communication, and project-management skills.

Maintains HR dashboards, workforce reporting, compliance filings, audits, reconciliations, access reviews, and data-quality controls across HCM, payroll, recruiting, and finance systems. Supports regulatory tracking, pay equity analysis, AI analytics testing, HR integrations, risk management, and audit evidence preparation while safeguarding confidential employee data.

Analyze digital marketing campaign performance, investigate business and product issues, identify growth opportunities, and optimize marketplace outcomes. The role requires working with enterprise datasets, developing automated analytical processes, detecting abnormalities, conducting predictive and segmentation analysis, visualizing trends, and presenting actionable, data-driven recommendations to stakeholders and media partners.

Deliver strategic finance and analytics insights to executive leadership through SQL analysis, financial modeling, dashboards, automated reporting, and key metric forecasting. Partner cross-functionally to align metric definitions, investigate business trends, communicate findings, and support company-wide decisions. Use AI to automate analytical processes and help scale the team.