Data Analytics Manager

Hi, we're Oscar. We're hiring a Manager of Data Analytics to join our Clinical Analytic Team.

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.
• This role works 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.
• The role works both independently and with customers and with 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. This role may, at times, be called upon to speak to prepared analyses internally and externally.

Work Location: This position is remote.

Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for communicating with external customers and internal teams to fully understand and triage data issues, serving as the first point of contact for production issues
• Ask questions to drive at the root cause and business impacts of issues that are raised surrounding our data
• Partner with engineering and data teams to find solutions to data issues within a complex system architecture that prioritize accuracy, customer satisfaction, and scalability
• Partner with business teams to articulate complex technical and data issues to non-technical colleagues, including packaging and presenting findings in a clear, concise, and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our users' needs evolve
• Identify opportunities to create models and tools that streamline processes and overall drive efficiencies within the organization
• Collaborate across the organization, including owning stakeholder relationships with internal and external leaders, to identify actions to achieve improvements and monitor initiative impact