Top Data Analyst Jobs in Mexico City

Owner of Growth experimentation and acquisition-to-conversion analytics: design rigorous tests (power, sample size, anytime-valid monitoring), produce readouts, and build a Python/dbt/Lightdash self-serve experimentation layer. Maintain a trusted funnel model (visitor→lead→customer) across channels, reduce reruns via instrumentation checks, and partner with CRO, Growth PMs, and performance marketing to turn analysis into measurable conversion wins.

Hybrid finance-data role owning financial data accuracy, infrastructure, and reporting. Maintain and QA Preset/Databricks outputs, build recurring revenue and margin reports, track KPIs and COGS, support budgeting, forecasting, variance analysis, and rolling forecasts to enable faster data-driven decisions.

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.

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.

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, coordinates cross-functional troubleshooting, escalates delays, and assists with testing new tools and processes. The role requires collaboration across business units and locations, knowledge of Oracle procedures, and familiarity with PLM and BOM change management.

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.

Senior Data Analyst leads content analytics, learner feedback structuring, and business-impact measurement for Trailhead. Build semantic models, data pipelines, and predictive/cohort methodologies to connect engagement and survey signals to commercial outcomes. Own dashboards, metric definitions, and translate findings for stakeholders and AI agents.

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.

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.

Lead and own client-specific QA programs for generative AI data: set QA strategies, run root-cause analyses and CAPA, plan rater training and certification, maintain dashboards, manage escalations, standardize SOPs, pilot automations, coach raters, and ensure secure data handling across distributed teams.

Lead analytics for the curriculum subscription/ecommerce business and Post-Sales, partnering with stakeholders to deliver GTM, retention, and financial insights. Build and maintain data models and pipelines with SQL and dbt, automate and maintain BI dashboards (Sigma, Tableau), own weekly business review source files, and translate analyses into actionable recommendations.

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.