Top Data Analyst Jobs in Mexico

Integrate and validate marketing data from multiple sources, ensure accurate campaign tracking and attribution, analyze paid media performance, support A/B testing, build scalable dashboards and pipelines, and partner with marketing and product teams to define KPIs and recommend optimizations.

The Data Analyst will manage and update information on ECUs, ensuring technical coherence and compliance with deadlines while coordinating with teams.

The Data Analyst role focuses on leveraging advanced analytics to address strategic business challenges, including designing and implementing analytical solutions.

Analyze and clean data from databases, APIs, and spreadsheets; build dashboards and reports; apply statistical methods, predictive modeling, and A/B testing; and present insights to stakeholders. Gather business requirements, map processes, define technical specifications, support UAT, and liaise between business and technical teams. The role also supports project planning, system improvements, data migrations, workflow automation, and mentoring junior team members.

Analyze high-volume data, build tracking methods and frameworks with engineers, create visualizations, interpret statistical trends, and deliver insights that support business decisions. The role also involves prototyping solutions, understanding player behavior, and communicating findings in a dynamic gaming environment.

Maintains Salesforce account hierarchies, resolves duplicate account and contact records, validates parent-child relationships, performs OFAC and sanctions screening, and researches account-creation requests. The Analyst documents changes for audit readiness, meets SLAs, reviews AI-flagged findings, escalates risks, and recommends improvements to data-quality processes and automation workflows. This is a hybrid role based in Mexico City.

Maintain Salesforce account hierarchies, investigate duplicate records, validate parent-child relationships, perform OFAC and sanctions screening, and review account creation requests. Document changes for audit readiness, meet service-level agreements, evaluate AI-flagged findings, escalate risks, and recommend improvements to data-quality workflows and automation.

Maintains Salesforce account hierarchies, investigates duplicate records, validates parent-child relationships, performs OFAC and sanctions screening, and reviews account creation requests. The Analyst documents changes for audit readiness, meets SLAs, escalates risks, validates AI-generated findings, and recommends improvements to data-quality workflows and automation.

Design and maintain dashboards and reports, perform deep-dive analyses to identify trends and anomalies, ensure data integrity with engineers and data scientists, automate reporting, and translate complex datasets into clear insights for non-technical stakeholders.

Collaborates with clients to define business needs, designs data and business architectures, identifies data and AI opportunities, and translates requirements into technical specifications. Leads workshops, gap analyses, stakeholder alignment, governance improvements, and solution implementation. Develops delivery frameworks and accelerators while supporting client relationship growth and quantifying business value and ROI.

Own analytics for the clinician lifecycle, from recruiting and credentialing through performance, quality, retention, and business impact. Build operational scorecards, predictive retention models, licensing dashboards, and transcript-based empathy scoring frameworks using SQL, Python, BI tools, NLP, and LLMs. Partner with clinical, quality, operations, talent, product, and executive stakeholders to connect clinician behaviors and outcomes with patient retention, NPS, compensation, training, and workflows.

Analyze business performance using SQL, Python, Excel, and BI tools; build data models and KPI tracking solutions; identify growth and efficiency opportunities; support long-term strategy with executive leadership; and communicate insights to cross-functional, nontechnical stakeholders. The role requires independent problem-solving and fluent English and Spanish communication.

Owns the design, development, deployment, and support of Snowflake data models, Streamlit applications, BI reports, and AI-powered data products. Integrates machine learning models, RAG endpoints, and agentic LLM services into reliable user-facing tools. Partners with data scientists, engineers, and go-to-market stakeholders to translate business needs into trustworthy analytics solutions for a B2B SaaS organization.

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

The Senior Data Analyst analyzes large datasets, develops SQL queries, utilizes Python for analytics, and collaborates on insights within GCP and BigQuery.

Analyze digital marketing campaign performance, investigate product and business issues, identify growth opportunities, and develop optimization strategies. The role requires working with enterprise datasets, analytical tools, automation, predictive analysis, segmentation, and visualization to deliver actionable insights and communicate data-driven recommendations to stakeholders and media partners.

Analyze digital marketing campaign performance, develop deep understanding of data sources and analytics tools, automate processes, identify growth opportunities, communicate insights, and deliver actionable optimization plans.

Lead design and implementation of a company-wide data protection program. Perform data discovery, gap analyses, access reviews, and recommend controls and monitoring. Collaborate with Security Engineering, GRC, and business units to align security controls with NIST/industry frameworks and report data risk to leadership.

Collect, prepare, validate, and report statistical data for property and casualty insurance. Develop and maintain reports and analytic tools, support metadata and data dictionary upkeep, and coordinate with actuaries, product managers, regulatory affairs, finance, and IT to meet reporting requirements.

Build, maintain, and optimize data pipelines and ETL integrations (BigQuery, Fivetran, dbt). Design automations (n8n/Zapier/Make), ensure data quality and system reliability, document workflows, troubleshoot pipeline issues, and translate business needs into scalable systems to eliminate manual work.

Oversee credit operations, ensure accuracy of customer master data, collaborate with sales, and drive process improvements in credit management.

Oversee daily credit operations, ensure accuracy in customer master data, collaborate with stakeholders, support process improvements, and maintain compliance with data governance standards.