Manager, Data Analytics

<p>Hi, we're Oscar. We're hiring a Data Analytics Manager to join our Operations Team.</p> <p>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.</p> <p><strong>About the role:</strong></p> <p>The Data Analytics Manager works across and outside the organization to solve complex data issues. You will work collaboratively to assess data related issues, understand the cause of those issues, and partner with the engineering, data, and customer success teams to implement solutions. You will understand the use, flow, and generation of data within a complex ecosystem of business processes and will need to explain your findings to audiences with varying degrees of technical knowledge. You will drive the scoping &amp; execution of analytical requests, including working with team members to define important questions, scope methodologies, and achieve results.</p> <p>&nbsp;</p> <p><strong>Work Location: </strong>This position is based in our Tempe, AZ 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. #LI-Hybrid</p> <p><strong>Pay Transparency: </strong>The base pay for this role is: $111,034.80 - $145,733.18 per year. You are also eligible for employee benefits, unlimited PTO and annual performance bonuses.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Communicate with external customers and our teams to evaluate data issues, serving as the first point of contract for production issues</li> <li>Ask questions to determine the cause and business impacts of issues that are raised surrounding our data</li> <li>Partner with engineering and data teams to find solutions to data issues within a complex system architecture that prioritize accuracy, customer satisfaction, and scalability</li> <li>Partner with business teams to explain complex technical and data issues to non-technical colleagues, including packaging and presenting findings</li> <li>Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our users' needs evolve</li> <li>Identify opportunities to create models and tools that improve processes and overall improve efficiency</li> <li>Collaborate across the organization with internal and external leaders, to identify actions to achieve improvements and monitor initiative impact</li> <li>Support other projects as assigned to meet o