Analytics Engineer
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Job Description
Analytics Engineer building reliable, governed data models for Quartile’s AI-powered retail media optimization platform. Supporting e-commerce analytics, data quality, governance, and business decisions.
Responsibilities:
- 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:
- 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:
- Equal opportunity employer committed to diversity, inclusion, and belonging
- PJ contract employment arrangement
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