Staff Analytics Engineer

Tango

Staff Analytics Engineer at Tango building curated data models and customer-facing analytics. Lead the migration of legacy BI systems and establish modern analytics engineering standards.

Posted 7/21/2026full-timeRemote • 🇺🇸 United StatesLead💰 $160,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering and data modeling, with a strong focus on building trustworthy data layers for AI and customer-facing analytics. Proficient in leading migrations and setting standards for data practices across teams.

Highest-signal resume keywords

Analytics EngineeringExpert SQLDimensional Data ModelingCloud Data Warehouse (Amazon Redshift, Snowflake)Embedded Customer-Facing Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDimensional Data ModelingSemantic Data ModelingData Transformation Framework (dbt)Data Layer Governance

Soft Skills

LeadershipCollaborationStandard Setting

Tools & Technologies

Oracle BIOmniCloud Data Warehouse

Industry Keywords

Analytics EngineeringBusiness IntelligenceData EngineeringData WarehouseMigration

Tech Stack

Tools & technologies

Amazon RedshiftCloudOracleSQL

About the role

Key responsibilities & impact

Build and own the governed semantic and metrics layer
Design and own the semantic layer that is the single source of truth for Tango's metrics
Model Tango's data on the modern warehouse
Ship embedded, customer-facing analytics on Omni
Make the data layer trustworthy for AI
Lead the Oracle BI to Omni migration, hands-on
Set the standard and level up the team
Partner across platform, product, and consumers

Requirements

What you’ll need

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, ideally Amazon Redshift or Snowflake
Experience building embedded, multi-tenant, customer-facing analytics
Experience migrating off a legacy BI platform is a strong plus
Bachelor's or Master's degree in Computer Science, Data, Statistics, Engineering, or related field

Benefits

Comp & perks

Comprehensive Benefits Including health, dental, and vision insurance
401(k) plan with company match
Generous paid time off to support your well-being
Flexible Work Environment Whether remote, hybrid, or in-office