Analytics Engineer

🕒 August 12

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 13%

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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GrowthLoop

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

📣 Marketing

☁️ SaaS

B2B • Marketing • SaaS

GrowthLoop is a company specializing in composable Customer Data Platforms (CDPs). It empowers businesses to activate targeted marketing campaigns across various channels by leveraging AI insights and data. GrowthLoop provides tools for audience segmentation, journey orchestration, and performance measurement, enhancing marketing impact and business outcomes. Its platform is designed for marketers to work independently of technical teams, integrating with major data warehouses like Google BigQuery, Snowflake, and Amazon Redshift. GrowthLoop aims to improve efficiency and accelerate marketing execution with a user-friendly interface and comprehensive data utilization.

📋 Description

• Build and edit SQL to power audience building and email and direct mail campaigns. • Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks. • Design and build scalable data models supporting the client's analytical and operational goals. • Improve internal workflows and tooling to increase efficiency and repeatability. • Serve as a thought partner for client stakeholders on technical and strategic data decisions. • Investigate data discrepancies, analyze deltas between tables, and answer client questions. • Rebuild recurring work in a new cloud environment, automate manual steps, clean up pipelines, and design scalable processes.

🎯 Requirements

• 2+ years of hands-on SQL experience in a production environment • Excellent SQL skills, including writing, reading, and debugging complex queries • Hands-on experience querying cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks • Solid understanding of data pipelines and data engineering concepts, including ETL/reverse ETL, event streaming, and data modeling • Ability to communicate with technical and non-technical partners • Ability to stay responsive and calm under tight, recurring deadlines • Must be based in the United States • Must be authorized to work without visa sponsorship

🏖️ Benefits

• Spot bonuses for major milestones and product feature launches • Clear opportunities for career progression and cross-functional collaboration • Equity in GrowthLoop • Remote-first culture • Flexible, goal-based work style • Flexible Time off • Monthly, company-wide Recharge Days • Annual home office stipend • 100% company-paid medical coverage for individual employees with strong dependent contributions, including dental & vision coverage • Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid) • 401(k) or RRSP (Canada) Program with Generous Company Match • Quarterly Hackathons • Annual professional development stipend • Work directly with a world-class executive team • A learners’ mindset culture