Analytics Engineer I

Oscar Health

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$106,812–$140,190 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $124k
$94k most similar roles pay here $224k

This role pays less than 85% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $124k versus about $169k 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 70 open roles on FindRole.

Listed pay typically runs $149,040–$195,615 across 65 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Analytics Engineer I

The Analytics Engineer I joins the Data Team to design, build, and maintain dimensional models and data transformations that convert raw operational data into reliable analytical assets. Working within a unified data foundation, you will partner with domain experts and stakeholders to capture business logic and translate it into models serving various organizational use cases. You will also implement automated tests for data product health and contribute to the semantic layer powering enterprise business intelligence. The role requires proficiency in SQL, dbt, and cloud database tools like GCP, AWS, or Azure, along with experience in a semantic modeling language such as LookML. This position focuses on solving technical challenges within a healthcare environment by managing data quality checks, performing root cause analyses of defects, and developing documentation for engineering best practices to ensure high-quality reporting.

What you'll do

  • Design, build, and maintain dimensional models to convert raw operational data into structured analytical assets.
  • Translate business logic from stakeholders into technical requirements for data transformation and semantic layer systems.
  • Develop and document best practices for engineering and analytics development consistent with industry standards.
  • Execute small-to-medium projects on the Analytics Engineering roadmap with minimal oversight.
  • Administer the analytics platform by managing support channels and processing access requests.
  • Perform root cause analyses of data defects using existing quality checks and monitoring pipelines.
  • Implement automated tests to ensure long-term data product health and reliability.

What we're looking for

  • At least 1 year of experience in Analytics Engineering, Data Science, or a related field.
  • At least 1 year of experience working with SQL.
  • At least 1 year of experience developing in a semantic modeling language such as LookML.
  • At least 1 year of experience developing within a modern data transformation tool like dbt.
  • At least 1 year of experience with cloud database tools including GCP, AWS, or Azure.
  • Experience building dimensional models such as star schemas and slowly changing dimensions.
  • Experience working with healthcare or insurance industry data, analytics, and reporting.
  • Strong communication skills for partnering with non-technical stakeholders.

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