Senior Data Analyst

Gravie - Minneapolis, MN

Full-time - Mid Level

Minneapolis, MN

Insurance Carriers and Related Activities

About the position

We're looking for a skilled Senior Data Analyst to help drive the quantitative and qualitative analysis central to the management and development of Gravie's innovative healthcare solutions, including our flagship level-funded and self-funded health benefits. Join us as we reinvent the way people purchase and access healthcare.

Responsibilities

• Play a key role in helping Gravie to understand the performance of its business, understand new opportunities, and translate those insights into solutions that meaningfully improve the health benefits people get and the healthcare they receive.
• Ask and answer the right questions with data, including: How are we doing? What should we continue doing? What should we stop doing? What should we start doing in the future?
• Design and conduct diverse quantitative and qualitative analyses to support the evaluation, management, and growth of new and existing products for areas across the business.
• Use analytic and communication skills to tell stories with data, transforming complex datasets into clear, actionable insights for both technical and non-technical audiences.
• Work closely with stakeholders to understand the priorities of the business and serve as expert advisor on methodologic strategies to problem-solve, uncover opportunities, and drive impact.
• Champion a culture of data-driven decision making within the organization.
• Employ rigorous quality assurance measures to ensure the accuracy, reliability, and consistency of all analytical outputs.
• Contribute to the design, development, and enhancement of our growing analytics platform.
• Partner with cross-functional teams to effectively integrate data insights into business strategies and product improvements, in a robust and scalable fashion.
• Collaborate closely with team members and across the company to deliver results.
• Serve as an expert resource within the team, providing guidance to other team members on analytic best practices and fostering an environment of knowledge sharing and professional development.

Requirements

• 3+ years working in a data analytics or data science role, preferably in the healthcare or health insurance industry.
• Strong analytical aptitude and problem-solving skills.
• Quantitative expertise, with a strong background in statistics and/or mathematics and the ability to identify and apply advanced analytic methods.
• Advanced SQL, statistical programming (Python, R, etc.), and Microsoft Excel skills, with the ability to manipulate large and complex datasets and perform insightful analysis on that data.
• Experience using Redshift, Amazon Simple Storage Service (S3), Athena, and other data-adjacent AWS services for data analytics projects.
• Experience working with medical and pharmacy claims data.
• Excellent attention to detail with demonstrated accuracy and thoroughness.
• Strong verbal and written communication skills, with the ability to translate technical results to tangible business actions.
• Habits of excellent organization, time management, and responsiveness.
• A flexible attitude and ability to work independently with limited direction.
• An appetite for learning and quickly putting what you learn into practice.
• Demonstrated commitment to core Gravie competencies of being authentic, curious, creative, empathetic and results oriented.
• Passion about building impactful health benefit products and delivering amazing customer experiences.
• Bachelor's degree, technical certification or equivalent experience required in Mathematics, Statistics, Data Science, Computer Science, Health Informatics, Economics, or other relevant area.

Nice-to-haves

• Experience using Tableau or other business intelligence tools.
• Experience working in an agile environment.

Benefits

• Alternative medicine coverage
• Flexible PTO
• 16 weeks paid parental leave
• Paid holidays
• Cell phone reimbursement
• Education reimbursement
• 1 week of paid paw-ternity leave