Staff Analytics Engineer

Tango

Staff Analytics Engineer at Tango Analytics building modern data analytics systems and migrating from legacy BI platforms. Designing and implementing analytics solutions with a focus on customer-facing services.

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 building and governing semantic layers and metrics for analytics, with a strong focus on data modeling and cloud data warehouse optimization. Proven ability to lead migrations and deliver customer-facing analytics within SaaS environments.

Highest-signal resume keywords

Expert SQLDimensional Data ModelingSemantic Data ModelingAmazon RedshiftEmbedded Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData EngineeringBusiness IntelligenceData Transformation FrameworksGoverned Metrics LayerPerformance OptimizationCost OptimizationData ModelingAI Analytics Consumption

Soft Skills

LeadershipTeam Development

Tools & Technologies

Oracle BIOmniSaaS ProductsSnowflake

Industry Keywords

Cloud Data WarehouseCustomer-Facing AnalyticsLegacy BI Migration

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.
Define metrics once, in code, so they resolve consistently across every dashboard.
Model Tango's data on the modern warehouse.
Design and build curated, well-documented, tested data models on Redshift.
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.

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 and a governed metrics or semantic layer.
Strong command of a cloud data warehouse, ideally Amazon Redshift or Snowflake, including performance and cost optimization at scale.
Hands-on experience building embedded, multi-tenant, customer-facing analytics inside a SaaS product.
Experience migrating off a legacy BI platform is a strong plus.
Current understanding of how AI consumes analytics.
Bachelor's or Master's degree in Computer Science, Data, Statistics, Engineering, or a related field, or equivalent practical experience.

Benefits

Comp & perks

Comprehensive Benefits Including health, dental, and vision insurance, a 401(k) plan with company match, and generous paid time off to support your well-being.
Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that promote productivity and balance.
Inclusive & Collaborative Culture We foster a workplace where diverse perspectives are valued, teamwork is encouraged, and everyone has a voice.
Competitive Compensation We recognize and reward your contributions with a salary package that reflects your value.