Sr. Analytics Engineer

Pelago
New York
Workplace: OnsiteFull timeUSD 175,000 - 190,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Stakeholder management","Communication","Mentoring","Data quality focus","Cross-functional collaboration"]

Build and lead the analytics foundation at Pelago by architecting scalable dbt model layers and defining transformation standards across the data stack. Own KPI/metric logic and business semantics at scale, establish data quality frameworks, and drive performance and reliability of transformation pipelines. Partner with Product, Clinical, Finance, Growth, Client Success, and Data Science/ML to translate ambiguous needs into structured reusable models, including data marts for dashboards, experimentation, ROI, and AI workflows.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Pelago
Pelago
2 weeks ago

Sr. Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and lead the analytics foundation at Pelago by architecting scalable dbt model layers and defining transformation standards across the data stack. Own KPI/metric logic and business semantics at scale, establish data quality frameworks, and drive performance and reliability of transformation pipelines. Partner with Product, Clinical, Finance, Growth, Client Success, and Data Science/ML to translate ambiguous needs into structured reusable models, including data marts for dashboards, experimentation, ROI, and AI workflows.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Architect and own scalable dbt model layers serving analytics, experimentation, AI, and downstream ML workflows.
  • •Set standards for transformation logic, documentation, and observability; drive performance, maintainability, and reliability.
  • •Establish data quality frameworks (testing, validation, monitoring) and define/govern the KPI and metric layer.
  • •Translate ambiguous cross-functional business requirements into structured, reusable data models and prevent metric fragmentation.
  • •Lead development of data marts for dashboards, experimentation, ROI analysis, clinical outcomes, and AI workflows; partner with DS/ML for feature-ready datasets.

Pay and Benefits

Salary: USD 175,000 - 190,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of experience in analytics engineering, data analytics, or data modeling.
  • •Expert SQL skills and a track record building production-grade data models at cross-functional scale.
  • •Deep understanding of data warehousing, dimensional modeling, and semantic layer design.
  • •Advanced dbt skills, including setting patterns for teams.
  • •Experience with modern data stacks (e.g., Redshift, Snowflake) and defining metrics to resolve ambiguity across teams.
Experience:HealthcareAnalytics engineeringData modelingAI/ML
Skills:Stakeholder managementCommunicationMentoringData quality focusCross-functional collaboration
Languages:English
Tech Stack:SQLDbtRedshiftSnowflakeLookerCube.jsMonte CarloElementary

Company Brief

Pelago
Pelago develops mobile-first software and services that help local businesses connect with customers, manage bookings and loyalty, and run commerce or marketing programs through integrated digital experiences and merchant-facing tools.
Industry: SaaS
Website