Senior Analytics Engineer

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $150k - $230k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 1%

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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Jellyfish

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📱 Media

📣 Marketing

Consulting • Media • Marketing

Jellyfish is a global digital marketing agency that combines creative talent, technology partnerships, and strategic expertise to help brands perform and grow globally. With over 2,000 employees spread across 42 offices in 22 countries, Jellyfish supports ambitious brands through innovative campaigns, a strong relationship with new and emerging technologies, and a unique business model that empowers innovation. Their expertise spans creative media, technology, and data strategy, contributing to their reputation as more than just a traditional agency.

📋 Description

• Design and maintain analytical data models that transform raw engineering and product data into understandable, reusable datasets • Define facts, dimensions, metrics, and canonical business entities shared across the organization • Introduce and mature tools such as dbt for transformations, testing, documentation, and lineage • Establish maintainable analytical transformation patterns • Build automated checks for completeness, freshness, uniqueness, referential integrity, and other data-quality signals • Detect data problems closer to their source • Partner with Product, Engineering, and Analytics to define important metrics consistently across dashboards, APIs, and customer-facing experiences • Improve developer and analyst enablement through documentation, examples, reusable models, and data-flow guidance • Work in a collaborative, performance-driven team environment • Occasional travel may be required

🎯 Requirements

• Extremely comfortable working with complex SQL • Experience with dbt or similar transformation frameworks • Understanding of staging models, intermediate models, marts, testing, lineage, and semantic layers • Understanding of dimensional modeling, normalized and denormalized models, facts and dimensions, grain, and slowly changing dimensions • Data quality mindset, including tests, contracts, and documentation • Ability to work with engineers, analysts, product managers, and domain experts to define precise data concepts • Experience in a rapidly scaling SaaS environment (bonus) • Experience introducing dbt or an equivalent modeling framework into an existing data platform (bonus) • Experience with Databricks, Delta Lake, or lakehouse architectures (bonus) • Experience with data catalogs, lineage, or governance platforms like OpenMetadata (bonus) • Experience defining semantic models or metric contracts consumed by analytics and production applications (bonus) • Must be authorized to work for any employer in the US • Must be willing to work EST hours in your current time zone • Must not require current or future US employment visa sponsorship

🏖️ Benefits

• Equity • Occasional travel opportunities