Quick summary
- Work type
- Hybrid
- Location
- New York, NY
- Salary
- $163,944–$215,176 / yr
- Posted
- 58 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
Competitive pay
How this pay compares to similar roles
Similar $187k
This role $190k
$154k
most similar roles pay here
$232k
This role pays less than 54% of similar roles. Most pay $162,000–$211,200 — the shaded band above. At the midpoint, this role pays about $190k versus about $187k 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 54 open roles on FindRole.
Listed pay typically runs $135,792–$178,227 across 50 roles with salary data.
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At a glance
TL;DR · Lead Analytics Engineer
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.
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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