Hi, we're Oscar. We're hiring an Analytics Engineer I 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 Role
As an Analytics Engineer I, you will occupy a vital position in Oscar’s data pipeline between raw data producing systems and end users of financial data. You will maintain a crucial partnership with Oscar’s Finance team, a critical data user, servicing it with comprehensive and reliable Certified Datasets (CDS) curated to enable accounting and actuarial processes and facilitate efficient answering of business questions. You will guide Engineering to help ensure that the financial data model is correctly implemented in production systems. You will problem solve and collaborate with multiple stakeholders, executing on tasks that range from requirements gathering to detailed optimization of code to brainstorming and implementing quality assurance checks on financial data.
You will report to an Associate Director, Data Science.
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, California, Colorado, Connecticut, Florida, Georgia, Illinois, 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: $103,200 - $135,450 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants and annual performance bonuses.
Responsibilities
- Become a financial data subject matter expert and use that knowledge to understand and organize raw data sources and structure them into CDS (certified data sets) which stakeholders can readily rely on and self service with.
- Partner with the Finance team to expand the breadth and depth of finance CDS to support its processes and to more seamlessly integrate CDS into Finance’s systems.
- Facilitate automation of key Finance team process by programming reports based on complex queries.
- Partner with Engineering to validate updates to raw financial data structure within an evolving production system and update CDS code accordingly while preventing service interruption for stakeholders.
- Promote data fidelity in upstream data producing systems and expand quality checks within finance CDS.
- Conduct root cause analyses of financial data defects and escalate to upstream data owners or cure in finance CDS.
- Compliance with all applicable laws and regulations.
- Other duties as assigned.
Qualifications
- 1+ years of experience in Analytics Engineering, Data Science, or a related field.
- 1+ years of experience working with SQL.
- 1+ years of experience developing in a semantic modeling language (e.g. LookML).
- 1+ years of experience developing within a modern data transformation tool like DBT.
- 1+ years of experience with cloud database tools (GCP, AWS, Azure).
Bonus Points
- Experience working with healthcare data, analytics and reporting, particularly with claims payments data.
- Experience with GCP and/or DBT.
- A background in healthcare and/or insurance.
- Strong communication skills, verbal and written, as demonstrated by experience on at least 1 project or initiative requiring communication between technical and non-technical users.
