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Job Description
Data Analyst
📍LATAM - 100% Remote 🤝Contract - USD 🗣️Advanced English skills is required We are looking for 3 Data Analysts, for 3 different teams: Product & Growth; Operations & Finance; and Experimentation & Digital Journey. Role Summary Seek versatile Data Analysts specialized in Data Quality.
These roles ensure reliable, actionable insights across product analytics, financial reconciliation, and experiment measurement by embedding measurement quality into instrumentation, data modeling, testing, and reporting.
The candidates will own end-to-end data integrity, governance, and cross-functional collaboration to drive data-driven decisions.
Key Responsibilities
Data Modeling & Reconciliation (Cross-Functional): Build and maintain semantic data models linking operational sources (ticketing, retail, inventory, marketing) to finance systems and product metrics.
Engineer reconciliation processes comparing operational datasets to gold sources (general ledger, ERP) and define acceptable variances with automated outlier alerts.
Instrumentation QA & Data Quality Automation: Audit and validate analytics instrumentation (web/app) end-to-end: data layer → Tag Manager → GA4 (or Mixpanel/Amplitude) → data warehouse → BI. Validate event firing, privacy settings, and campaign tagging (UTMs, pixels).
Develop automated data quality tests (freshness, completeness, uniqueness, reconciliation) using SQL (Snowflake, BigQuery, Redshift), Python, and frameworks like Great Expectations; schedule via Airflow/Snowflake Tasks and alert on failures.
Dashboarding & Reporting: Create and maintain dashboards in Power BI, Looker, Sigma, or Tableau that reflect accurate metrics and QA indicators (pass/fail badges). Ensure traceability of metrics and readiness for executive and stakeholder reviews.
Data Contracts, Governance & Documentation: Define data contracts for critical datasets (schema, nullability, validity thresholds) and implement checks to enforce contracts. Document data models, QA pr
Required Skills
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