Data Analyts

Bogotá - Colombia

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 processes SOPs and runbooks; manage task/incident logs in Jira or ServiceNow; collaborate with product engineering marketing finance and operations in an Agile environment.
Cross-Functional Collaboration & Training: Partner with product marketing finance and IT to plan measurement drive data quality improvements and educate business users on data governance and best practices.
Data Quality Assurance in Diverse Domains: Support quality across Product & Growth metrics revenue attribution and tagging for finance and experiment measurement pipelines; contribute to continuous improvement of data collection storage and processing.

Core Technical Skills

SQL & Python: Proficient SQL for querying/testing data in cloud data warehouses (Snowflake BigQuery Redshift). Python for data validation scripts and ETL/test automation; familiarity with Pandas and testing frameworks (PyTest Great Expectations).
Analytics Tools: GA4 (custom events dataLayer) Google Tag Manager (GTM) or similar for web/app tagging and ad conversion pixels (Google Ads Meta TikTok CM360). Experience with tag validation tools (GA Debugger Tag Assistant).
BI & Visualization: Experience building dashboards in Power BI Sigma Tableau or Looker. Ability to translate raw data into clear visual reports. Familiarity with DAX/Power Query (for Power BI) or SQL-based modeling (for Sigma).
Programming: Proficiency SQL skills for large-scale reconciliations (Snowflake or similar). Comfortable with Python for data validation scripts and ETL jobs. Experience with libraries like Pandas for data processing and PyTest or Great Expectations for automated tests. Basic JavaScript skills for debugging tags via browser DevTools (Console/Network).
Web & Analytics Instrumentation: Deep familiarity with GA4 Google Tag Manager (GTM) or similar custom events dataLayer and campaign tagging; basic JavaScript for debugging and tag validation.
Data Quality & Observability: Exposure to dbt for transformation/testing and data observability platforms (e.g. Monte Carlo) is a plus. Understanding CI/CD for data assets (Git GitHub Actions Jenkins).
Collaboration & Process: Experience with Jira or ServiceNow for issue tracking and Confluence (or internal wiki) for documentation. Strong communication skills to work with technical and non-technical stakeholders.
Scripting & QA: JavaScript and DevTools for debugging with SQL/Python to automate data quality checks.

Data AnalystLATAM - 100% RemoteContract - USDAdvanced English skills is requiredWe are looking for 3 Data Analysts for 3 different teams: Product & Growth; Operations & Finance; and Experimentation & Digital Journey.Role SummarySeek versatile Data Analysts specialized in Data Quality. These roles en...

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

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 processes SOPs and runbooks; manage task/incident logs in Jira or ServiceNow; collaborate with product engineering marketing finance and operations in an Agile environment.
Cross-Functional Collaboration & Training: Partner with product marketing finance and IT to plan measurement drive data quality improvements and educate business users on data governance and best practices.
Data Quality Assurance in Diverse Domains: Support quality across Product & Growth metrics revenue attribution and tagging for finance and experiment measurement pipelines; contribute to continuous improvement of data collection storage and processing.

Core Technical Skills

SQL & Python: Proficient SQL for querying/testing data in cloud data warehouses (Snowflake BigQuery Redshift). Python for data validation scripts and ETL/test automation; familiarity with Pandas and testing frameworks (PyTest Great Expectations).
Analytics Tools: GA4 (custom events dataLayer) Google Tag Manager (GTM) or similar for web/app tagging and ad conversion pixels (Google Ads Meta TikTok CM360). Experience with tag validation tools (GA Debugger Tag Assistant).
BI & Visualization: Experience building dashboards in Power BI Sigma Tableau or Looker. Ability to translate raw data into clear visual reports. Familiarity with DAX/Power Query (for Power BI) or SQL-based modeling (for Sigma).
Programming: Proficiency SQL skills for large-scale reconciliations (Snowflake or similar). Comfortable with Python for data validation scripts and ETL jobs. Experience with libraries like Pandas for data processing and PyTest or Great Expectations for automated tests. Basic JavaScript skills for debugging tags via browser DevTools (Console/Network).
Web & Analytics Instrumentation: Deep familiarity with GA4 Google Tag Manager (GTM) or similar custom events dataLayer and campaign tagging; basic JavaScript for debugging and tag validation.
Data Quality & Observability: Exposure to dbt for transformation/testing and data observability platforms (e.g. Monte Carlo) is a plus. Understanding CI/CD for data assets (Git GitHub Actions Jenkins).
Collaboration & Process: Experience with Jira or ServiceNow for issue tracking and Confluence (or internal wiki) for documentation. Strong communication skills to work with technical and non-technical stakeholders.
Scripting & QA: JavaScript and DevTools for debugging with SQL/Python to automate data quality checks.

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Aliancers

Formamos parte de una organización dinámica y flexible con gran capacidad de adaptación y compromiso. Valoramos las competencias, habilidades, experiencia y potencial de las personas, así como sus cualidades personales, aplicando dichos valores tanto a nuestro trato con los clientes c ... View more

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Data Analyts

Bogotá - Colombia

Job Summary

Data Analyst

Role Summary

Key Responsibilities

Core Technical Skills

Data Analyst

Role Summary

Key Responsibilities

Core Technical Skills

Key Skills

About Company

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