Analytics Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $105k - $115k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BaubleBar Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

👗 Fashion

🛒 Retail

🛍️ eCommerce

Fashion • Retail • eCommerce

BaubleBar Inc. is a fashion-forward company specializing in statement and everyday jewelry. The company offers a wide range of accessories, including beaded stackable bracelets, earrings, necklaces, rings, and anklets. BaubleBar also caters to those seeking personalized jewelry by offering customizable items such as custom phone cases, blankets, and jewelry. Their product line includes a luxurious selection of 14k and 18k gold pieces, perfect for personal use or as gifts. With exclusive collections like Disney-themed jewelry and collaborations with NBA and NFL, BaubleBar provides unique, trendy options that cater to a diverse clientele eager to elevate their style.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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