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

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 35%

What it means: the chance that no one is really hiring for this job.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 software company that provides a connected intelligence platform for managing commercial real estate across the entire property lifecycle. Its SaaS products include portfolio strategy, site selection and predictive analytics, lease and transaction management, project and maintenance coordination, occupancy and workplace tools, and energy & sustainability (utility, emissions, and ESG reporting). Tango serves corporate real estate, retail, landlords, and government customers to optimize space, reduce costs, and meet sustainability goals.

📋 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

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