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Manager, Data Analytics
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Manager, Data Analytics
- New York, New York, United States
- New York, New York, United States
Über
Oscar is the first health insurance company built around a full stack technology platform and a relentless 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 The Manager, Data Analytics works closely across and outside the organization to solve complex data issues. You will work collaboratively to triage data related issues, understand the root cause of those issues, and partner with the engineering, data, and customer success teams to implement solutions. The Manager, Data Analytics understands the use, flow, and generation of data within a complex ecosystem of business processes and is able to articulate their findings to audiences with varying degrees of technical knowledge. You will work both independently, with customers and teammates to dig deeply and fully understand these issues within data. The Manager, Data Analytics works to drive the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies, and drive results.
Work Location This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.
Pay Transparency The base pay for this role is: $123,372 - $161,925.75 per year.
You are also eligible for employee benefits, unlimited PTO and annual performance bonuses.
Medical, dental, and vision benefits
11 paid holidays
Paid sick time
Paid parental leave
401(k) plan participation
Life and disability insurance
Paid wellness time and reimbursements
Responsibilities
4+ years of technical work experience using analytical tools and writing analytical reports
2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
5+ examples/projects of strong communication skills, verbal and written, around business reporting impact and requirements
3+ years experience in SQL, with the ability to build CTEs, handle complex joins and leverage aggregations and window statements
1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
1+ years experience in healthcare, finance or the insurance industry
2+ years of direct people management experience
1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools
Bonus Points
2+ years experience in preparing healthcare analytics, reporting, and data management
Experience with ticketing system (such as Jira)
Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
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.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
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.
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 Privacy Policy.
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Sprachkenntnisse
- English
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