Top Data Analyst Jobs in Mexico

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 a multidisciplinary analytics team across chat, conversion, retention, AI, and operations. Develop KPI frameworks, dashboards, funnel and lifecycle analyses, experimentation strategies, and actionable product recommendations. Manage and mentor data professionals, establish the analytics roadmap, investigate ambiguous business problems, and partner with Product, Operations, AI, Growth, and leadership to improve conversion, retention, customer experience, and operational efficiency.

Leads a multidisciplinary analytics team across chat, retention, AI, and operations. Owns KPI frameworks, funnels, retention analysis, dashboards, experimentation, and operational analytics. Partners with Product, Operations, AI, Growth, and leadership to identify business drivers, improve conversion and retention, increase efficiency, and turn ambiguous questions into actionable recommendations. The role combines hands-on analysis with team leadership and stakeholder management.

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.

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.

Analyzes transportation costs, pricing, margins, profitability, expenses, and operational KPIs across routes, trips, and customers. Cleans and transforms large datasets to identify trends, risks, and improvement opportunities. Builds automated executive reports and dashboards using Power BI, Excel, and ERP systems to support strategic decisions and operational efficiency.

Analyze production drive-thru voice AI data, build SQL reports and dashboards, monitor KPIs, identify conversation error patterns, and improve NLU models, conversation flows, and LLM behavior through machine learning and rule-based techniques.

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 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.

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.

Data Analyst Intern supporting inventory planning and fulfillment through data collection, cleaning, visualization, demand analysis, forecasting, reporting, and continuous improvement. The role involves creating dashboards, analyzing inventory trends, preparing stakeholder reports, and recommending process improvements. Candidates should have familiarity with SAP or willingness to learn SAP MM, Excel or Power BI skills, and preferably exposure to SQL and Python.

Govern customer master data across ERP, CRM, and MDM systems; process service requests, resolve duplicates, validate records, perform data quality remediation, support compliance controls, maintain documentation, report on KPIs and SLAs, and assist with governance initiatives and system testing. Mentor junior coordinators and collaborate cross-functionally to resolve issues affecting customer onboarding and order-to-cash processes.

Monitor and improve healthcare data file exchanges across clients, vendors, and internal systems. Analyze insurance claims, eligibility, enrollment, and EDI file mappings; troubleshoot data, file movement, and SFTP issues; coordinate EDI testing and implementations; validate data against business requirements; communicate operational status; and improve DataOps workflows, documentation, and processes.

Analyze user behavior, product performance, experiments, and academic research data to guide product decisions and health outcomes. Responsibilities include building Mixpanel dashboards, validating event tracking, querying Snowflake with SQL, developing Python analyses and automation, maintaining data pipelines, creating BI visualizations, conducting user research, performing statistical testing, preparing research manuscripts, and supporting grant-funded projects.

Develops, enhances, tests, debugs, and supports financial-services applications using Java, Ab Initio, data warehousing, microservices, and batch processes. The role analyzes code and vulnerabilities, consults with users and technology teams, resolves application issues, recommends programming solutions, and supports systems across L1-L3 levels. It operates with limited supervision, advises junior analysts, manages risks and compliance responsibilities, and contributes to application development initiatives.

Analyzes product information, categorizes products, generates reports, identifies production errors, and follows operational procedures under close supervision. The role requires advanced Excel skills, conversational intermediate-to-advanced English, and at least six months of data or information analysis experience. The analyst also supports process improvements and special initiatives.

Provides advanced decision science and analytics support across life, health, and annuity insurance. Gathers, transforms, and analyzes disparate data using statistical and quantitative methods; develops insight-to-action recommendations, visualizations, and executive presentations; documents methodologies and validation; and partners with product, underwriting, sales, and leadership teams to influence strategy and business outcomes.

Build and maintain Domo dashboards, reports, dataflows, and ETL processes; integrate legal case management data; validate data quality; translate operational workflows into reporting structures; identify trends; and present actionable insights to law firm clients. The role also includes requirements gathering, documentation, client support, and explaining data to nontechnical stakeholders while managing multiple priorities independently.

Build and maintain Power BI dashboards and reports, develop Python data transformation scripts, and support Azure Data Factory pipelines. Query and optimize Azure SQL databases, apply dimensional modeling and data warehousing principles, document data logic, resolve data quality issues, and translate business requirements into reliable reporting solutions for technical and non-technical stakeholders.

Analyzes panel operations data, monitors performance and risks, validates pipelines, builds dashboards and predictive models, automates workflows with AI, and drives continuous improvement. The role creates action plans, troubleshoots operational issues, supports audit readiness, and collaborates with Operations, Technology, Quality, and Workforce Management teams. Strong SQL, Excel, Python, AI-tool, and data visualization skills are required, along with English-Spanish bilingual communication.

Defines and certifies HR metrics and data assets across Workday, Dayforce, and PeopleSoft. Translates Power BI requirements into metric definitions, business rules, data mappings, validation criteria, test cases, and acceptance criteria. Partners with HRIS, HR, analytics, and engineering stakeholders to reconcile data, resolve definition conflicts, manage sign-off, support UAT and defect triage, and maintain documentation for trusted workforce analytics.

The Senior Data Analyst will drive performance monitoring and decision-making through actionable insights, complex data analysis, and visualization. Responsibilities include KPI identification, dashboard creation, and training for data-savvy users.

Analyze large campaign datasets using Python and SQL, build and manage marketing audiences, support end-to-end campaign execution, and develop reporting dashboards and automation. The role validates data quality, maintains campaign mappings and metadata, identifies performance insights, and partners with marketing stakeholders on audience strategy, optimization, and business decisions.

Extracts, cleans, validates, and analyzes complex structured and unstructured datasets using SQL, Excel, Python, or R. Builds dashboards, visualizations, reports, and presentations with tools such as Power BI and Tableau. Translates analytical findings into actionable insights, supports data governance and ETL activities, documents methodologies, and collaborates with international analyst, research, data, and client-facing teams. The role also uses AI tools and automation to improve research, analysis, and reporting workflows.