Hi, we're Oscar. We're hiring a Business Intelligence Engineer II to join our Data team.
Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the roleThe Business Intelligence Engineer II will assess and optimize Oscar's Business Intelligence platform, which includes Looker and dbt on BigQuery. You will bridge the gap between business requirements and technical design, ensuring the platform is both user-friendly and high-performing.
You will report to the Associate Director, Analytics Engineering.
Work Location:
Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.
If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.
You must reside in one of the following states: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote
Pay Transparency:
The base pay for this role is: $119,200-$156,450 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
Responsibilities- Champion development best practices for Looker development.
- Scope CI/CD tools, automation, processes and guidelines to ensure adherence.
- Level-up our existing dashboard infrastructure, partnering with developers to improve dashboard usability, visualization, and query performance.
- Lead the maintenance, optimization and expansion of our Business Intelligence platform (Looker) and LookML semantic layer.
- Partner with stakeholders to expand BI content areas, taking in business requirements, maintaining alignment, and delivering performant, scalable products that meet our end-user needs.
- Scale our business intelligence stack by improving query performance, overseeing the administration, supporting duties necessary to service the developers and end-users of our platform, and finding opportunities to build tools and automation to reduce the amount of inbound requests.
- Develop an in-depth understanding and expertise of Oscar's analytics technologies, contributing to the continuous improvement of Oscar's analytics ecosystem.
- Provide training and mentorship to empower data scientists and data engineers, to promote a culture of excellence in business intelligence and encourage skill development.
- 3+ years of experience in Analytics Engineering, Business Intelligence, or a related field.
- 3+ years of experience working with a variety of database languages, including SQL, DDL and DML with demonstrated ability to efficiently transform data and databases.
- 3+ years of experience working with a variety of business intelligence platforms, such as Looker, Tableau, PowerBI, or others.
- 2+ years of experience developing in a semantic modeling language (e.g. LookML).
- 1+ years of experience working with and presenting to non-technical stakeholders.
- 1+ years experience with Python or another OOP/scripting language.
- Experience integrating DBT and Looker (or equivalent ETL-to-BI integration).
- Experience working with healthcare data, analytics, and reporting.
- Experience with GCP.
- A background in healthcare and/or insurance.
- Experience communicating updates and resolutions to technical and non-technical end users, exhibited through at least 1 project or initiative
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
Artificial Intelligence (AI) Guidelines: Please see our AI Guidelines for the acceptable use of artificial intelligence during the interview process at Oscar.
California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Notice to Job Applicants.
Top Skills
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
