Analytics Engineer

🕒 Outubro 20

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $105.000 - $115.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

📊 Engenheiro de Analytics

🚫👨‍🎓 Sem graduação necessária

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BaubleBar Inc.

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2011

👗 Moda

🛒 Varejo

🛍️ Comércio Eletrônico

Fashion • Retail • eCommerce

A BaubleBar Inc. é uma empresa de moda avançada especializada em joias chamativas e do dia a dia. A empresa oferece uma vasta gama de acessórios, incluindo pulseiras de contas empilháveis, brincos, colares, anéis e tornozeleiras. A BaubleBar também atende aqueles que buscam joias personalizadas, oferecendo itens personalizáveis como capinhas de telefone, mantas e joias. Sua linha de produtos inclui uma seleção luxuosa de peças em ouro 14k e 18k, perfeitas para uso pessoal ou como presentes. Com coleções exclusivas, como joias temáticas da Disney e colaborações com a NBA e a NFL, a BaubleBar oferece opções únicas e modernas que atendem a uma clientela diversificada, ávida por elevar seu estilo.

Descrição

• Write clean, efficient, and maintainable SQL to transform raw business data into reliable, analytics-ready datasets • Develop and maintain staging, intermediate, dimensional, fact, and reporting-layer data models • Translate business requirements and established architecture into production data models • Apply dimensional modeling concepts, including grain, relationships, and dependencies • Refactor and improve SQL and data models as business requirements evolve • Enhance data models for self-service and AI-powered analytics by improving metadata, descriptions, and semantic context • Build and maintain data-quality tests and documentation • Use Git and GitHub to manage analytics code through branches, commits, pull requests, code reviews, and deployment workflows • Develop and test changes before production deployment • Evaluate upstream and downstream dependencies before modifying models • Investigate data-quality issues and discrepancies between reporting and source systems • Trace data through source, transformation, and reporting layers to identify root causes • Troubleshoot failed transformations and scheduled analytics jobs • Validate changes and develop sustainable solutions • Support data and semantic models for business intelligence and self-service analytics • Partner with business stakeholders to understand reporting needs and determine appropriate data structures • Help maintain consistent definitions and calculations for key business metrics • Develop understanding of business processes across E-Commerce, Wholesale, Merchandising, Marketing, Supply Chain, Operations, and Finance

🎯 Requisitos

• Excellent SQL skills, including joins, CTEs, aggregations, window functions, conditional logic, and multi-step transformations • Approximately 2-4 years of relevant experience in analytics engineering, data analytics, business intelligence, data engineering, or a related field • Strong understanding of relational data and data modeling concepts • Experience transforming operational data into structured datasets used for analytics and reporting • Practical experience using Git for version control and collaborative development • Experience with a SQL-based cloud data warehouse or relational database • Strong analytical and troubleshooting skills • Strong attention to detail and commitment to data accuracy • Curiosity about how business processes generate and affect data • Ability to learn unfamiliar technologies and business domains quickly • Position will be remote, residing anywhere in the United States and authorized to work in the U.S. • Bachelor's degree in Analytics, Data Science, Computer Science, Information Systems, Mathematics, or a related quantitative field preferred, or equivalent relevant professional experience • Helpful but not required: dbt or another SQL-based data transformation framework; Snowflake, BigQuery, Redshift, Databricks, or another modern cloud data platform; Power BI, Sigma, Tableau, Looker, or another BI platform; Fivetran or another ELT/data integration platform; Python, APIs, SFTP/file-based integrations, or semi-structured data; retail, e-commerce, wholesale, inventory, supply chain, or financial data; NetSuite, Shopify, Amazon, Klaviyo, or similar business platforms

🏖️ Benefícios

• Outstanding company contribution towards employee premiums for Medical, Dental and Vision Insurance • PTO • 10 paid Company Holidays • Company paid Life Insurance • Company laptop • Free monthly product allowance • Employee discounts

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