Staff Analytics Engineer

Job not on LinkedIn

🕒 July 29

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $160k - $190k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

👻 Ghost score 29%

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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Tango

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏗️ Construction

📦 Logistics

💼 Consulting

Construction • Logistics • Consulting

Tango is a connected software company that provides an intelligence platform for managing commercial real estate across the full property lifecycle. Its SaaS products support site selection, portfolio strategy, lease and transaction management, projects & maintenance, workplace optimization, and energy & sustainability, using predictive analytics and AI to deliver actionable insights. Tango serves enterprises, retailers, landlords, and government/education facilities to reduce costs, improve utilization, and streamline ESG reporting.

📋 Description

• Design and build the governed semantic and metrics layer • Define metrics once, in code, for consistency across all dashboards • Design and build curated, well-documented, tested data models on Redshift • Create embedded, self-serve analytics experiences inside Tango's products • Structure the semantic definitions and documentation for AI querying • Lead the Oracle BI to Omni migration, extracting business logic from legacy reports • Mentor engineers and contractors, raising the craft bar through reviews

🎯 Requirements

• 8 or more years in analytics engineering, data engineering, or business intelligence • Expert SQL and strong dimensional and semantic data modeling • Deep experience in a transformation framework such as dbt • Strong command of a cloud data warehouse like Amazon Redshift or Snowflake • Analytics-engineering discipline: version control, testing, CI/CD, lineage • Hands-on experience building embedded, multi-tenant, customer-facing analytics • Experience migrating off a legacy BI platform (Oracle BI, Cognos, etc.) is a plus • Understanding of how AI consumes analytics and how to build for that • Bachelor's or Master's degree in Computer Science, Data, Statistics, Engineering, or related field

🏖️ Benefits

• Competitive Compensation • Comprehensive Benefits Including health, dental, and vision insurance • 401(k) plan with company match • Generous paid time off • Flexible Work Environment • Inclusive & Collaborative Culture