Analytics Engineer

Quartile

. Perform business and data analysis to support internal initiatives and external/client-driven requests .

Posted 9/19/2026contractRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced SQL skills for complex data analysis and validation, with a strong understanding of data modeling concepts and data quality principles. Proficient in collaborating with cross-functional teams to ensure data accuracy and governance across e-commerce and advertising metrics.

Highest-signal resume keywords

Advanced SQL SkillsData Modeling ConceptsE-Commerce Data AnalysisData Quality PrinciplesCollaboration with Cross-Functional Teams

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLData AnalysisData ValidationData ModelingData Quality MonitoringExcelDatabricksData GovernanceKPI EvaluationComplex Datasets

Soft Skills

Problem-SolvingAnalytical ThinkingAttention to Detail

Tools & Technologies

ClaudeAmazonWalmartShopifyGoogle AdsMeta

Industry Keywords

E-CommerceAdvertising MetricsData ServicesBusiness RulesData Quality Standards

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Perform business and data analysis to support internal initiatives and external/client-driven requests
Investigate and analyze data issues and bugs, identify root causes, and work with appropriate teams to drive resolution
Proactively identify data quality issues, inconsistencies, and potential problems across data models and services
Ensure the quality, accuracy, and reliability of data services and deliverables through continuous validation and monitoring
Review and maintain clear, accurate, and up-to-date documentation for data models, business rules, metrics, processes, and services
Validate business rules, KPIs, and data transformations against business requirements and expected behavior
Contribute to data governance and standardization, including consistent definitions, structures, naming conventions, and data quality standards
Collaborate with the Data Modeling & Governance Team and cross-functional teams across the organization

Requirements

What you’ll need

Advanced SQL skills, including complex queries, CTEs, window functions, aggregations, joins, and data validation
Strong understanding of data modeling concepts, data structures, and data quality principles
Experience using Claude or similar AI tools to support data analysis, SQL development, documentation, and day-to-day workflows
Knowledge of Excel, including formulas, data analysis, lookups, pivot tables, and data validation
Basic knowledge of Databricks, including notebooks, tables, catalogs, and running SQL queries
Strong problem-solving skills to investigate data issues, identify root causes, and propose effective solutions
Strong analytical and critical-thinking skills to evaluate data, identify inconsistencies, and make well-supported conclusions
Strong attention to detail when working with data accuracy, consistency, and validation
Experience with e-commerce data and KPIs such as Sales, Revenue, Orders, Conversion Rate, ROAS, ACOS, TACOS, CPC, and other commerce and advertising metrics
Experience with data from e-commerce and advertising platforms such as Amazon, Walmart, Shopify, Google Ads, Meta, or similar platforms
Familiarity with data governance, data quality monitoring, documentation, and standardization practices
Experience working with large and complex datasets
Experience collaborating with Analytics, Engineering, Product, or other cross-functional teams

Benefits

Comp & perks

Equal opportunity employer committed to diversity, inclusion, and belonging
PJ contract employment arrangement