Data Lead

CSC Generation

. Own the analytical layer between raw data and business decisions .

Posted 10/22/2026full-timeEscazu • Costa RicaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and Python for data modeling and analytics, with a strong focus on integrating and reconciling data across multiple systems. Proficient in using BI tools like Looker, Tableau, or Power BI to deliver actionable insights and define KPIs.

Highest-signal resume keywords

SQL ProgrammingPython ProgrammingData ModelingBusiness Intelligence ToolsData Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingETL/ELT PipelinesData WarehousingData IntegrationData ValidationKPI DefinitionAI ToolsCloud Data Warehouses

Soft Skills

Business AcumenCollaborationAnalytical Thinking

Tools & Technologies

LookerTableauPower BIBigQuerySnowflakeRedshiftAirflowNetSuiteGoogle AnalyticsClaude Code

Industry Keywords

E-CommerceRetailMarketing AnalyticsData GovernanceAnalytics Workflows

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudERPETLPythonSQLTableau

About the role

Key responsibilities & impact

Own the analytical layer between raw data and business decisions
Model data, define metrics, build semantic layers, and turn ambiguous stakeholder questions into validated answers
Write, review, and debug SQL and Python code, including AI-generated code
Build and maintain analytical data models across the portfolio
Design and maintain semantic layers and reusable BI data models in Looker, Tableau, or Power BI
Integrate and reconcile data across multiple systems and business units
Validate data and reconcile discrepancies across ERP, web analytics, and other sources
Scope technical feasibility, effort, and trade-offs for new data requests
Define KPIs and provide actionable analytical recommendations
Use AI tools such as Claude Code and Codex for analysis, coding, and documentation while validating outputs
Partner with data engineering, business stakeholders, and external vendors
Deliver trusted cross-brand metrics, reusable BI-layer models, and improved analytics workflows through AI tooling

Requirements

What you’ll need

Strong SQL and Python skills, including writing, reviewing, and debugging AI-generated code
Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift
Experience with data modeling
Familiarity with ERP and web analytics data sources such as NetSuite and Google Analytics
Understanding of ETL/ELT pipelines, data warehousing, and orchestration tools such as Airflow
Experience integrating and reconciling data across multiple systems or business units
Experience aligning metric definitions and master data
Rigorous data validation and governance practices
Proficiency with at least one modern BI tool such as Looker, Tableau, or Power BI
Fluency with AI coding and analysis tools
Business acumen defining KPIs and translating business questions into analytical approaches
Ability to partner with data engineering, business stakeholders, and external vendors
Preferred: foundation in statistics and experimentation, AI-assisted analytics workflows, and e-commerce, retail, or marketing analytics experience
Valid LinkedIn profile URL required, or credible explanation and alternative professional-background evidence if no profile exists

Benefits

Comp & perks

Primarily remote work
Private medical and life insurance
Additional paid time off
Monthly allowances and reimbursements
Employee discounts
Opportunities for professional growth