Lead Analytics Engineer | Careers | Oscar Health

Oscar Health

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$163,944–$215,176 / yr
Posted
44 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k
This role $190k
$148k most similar roles pay here $233k

This role pays less than 55% of similar roles. Most pay $169,430–$216,300 — the shaded band above. At the midpoint, this role pays about $190k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Oscar Health

Oscar Health is a technology-driven health insurance company offering individual, family, and small business health plans.

Oscar Health currently has 51 open roles on FindRole.

Listed pay typically runs $149,040–$178,227 across 51 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Lead Analytics Engineer | Careers | Oscar Health

As a Lead Analytics Engineer at Oscar, you will join the Data Team to drive the vision of a unified analytics data foundation, consolidating fragmented legacy systems into a single dimensionally modeled platform using dbt and building an enterprise-wide semantic layer. Your responsibilities include partnering with domain experts to capture business logic, defining design standards for the dimensional model, leading the implementation of the semantic layer, and ensuring adherence to Data Governance principles. You will also mentor junior team members, champion data quality checks, and leverage AI to enhance development processes. This role requires extensive experience in Analytics Engineering, particularly in building dimensional models with dbt and designing semantic layers using enterprise BI platforms like Tableau or Looker. Ideal candidates have a background in healthcare or insurance and proficiency in SQL, Google Cloud Platform, and excellent communication skills.

What you'll do

  • Define design standards and structure of Oscar's unified dimensional model in dbt.
  • Lead the implementation of an enterprise-wide semantic layer to serve all business analytics use cases.
  • Ensure data models are documented and structured to support enterprise data discoverability.
  • Expand coverage of data quality checks and enhance monitoring pipelines for reliability.
  • Design and improve data transformations with a focus on performance, cost-effectiveness, and stability.

What we're looking for

  • 6+ years of experience in Analytics Engineering, Data Engineering, or a related field.
  • Demonstrated experience establishing dimensional models and semantic layers at enterprise scale.
  • 4+ years of experience building dimensional models using dbt.
  • 4+ years of experience designing and implementing semantic layers with BI platforms like Tableau or Looker.
  • 4+ years of hands-on SQL work for data transformation and modeling at scale.
  • Experience leading cross-functional projects to consolidate and improve analytics solutions.

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