Jobright.ai is seeking a Data Analyst Intern to support quantitative and qualitative analysis for innovative healthcare solutions. The role involves data storytelling and collaboration to enhance business strategies.
Data Analyst, Internship job at Jobright.ai. Minneapolis, MN. Verified Job On Employer Career Site Job Summary: Gravie is an insurance company that designs health benefits plans for small and midsize employers. They are seeking a dynamic Data Analyst to drive quantitative and qualitative analysis central to the management and development of innovative healthcare solutions. 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, including: How are we doing? What should we continue doing? What should we stop doing? What should we start doing in the future? • Take ownership of regular deliverables for various business units, leveraging multiple technologies to produce solutions that are consistent, accurate, and efficient. • Assist in the design and execution of 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 basic and complex datasets into clear, actionable insights for both technical and non-technical audiences to influence business decisions and product roadmaps. • Support a culture of using data to inform decisions within the organization. • Apply established quality assurance measures to ensure the accuracy, reliability, and consistency of all analytical deliverables. • Contribute to the design, development, and enhancement of our growing analytics platform by partnering with cross-functional teams to effectively integrate data insights into business strategies and product improvements, in a robust and scalable fashion. • Collaborate closely with other Analysts to share knowledge and best practices, fostering an environment of knowledge sharing and professional development. Qualifications: Required: • Demonstrated analytics aptitude and problem solving skills • Quantitative proficiency, with an understanding of basic mathematical and statistical principles • Strong Microsoft Excel skills, with ability to manipulate large and complex datasets and perform insightful analysis on that data • Proficiency using SQL to query databases and explore data • Knowledge of Python, R, or other statistical programming languages • Excellent attention to detail with demonstrated accuracy and thoroughness • Strong verbal and written communication skills, with the ability to present findings clearly to technical and non-technical audiences • 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 • Bachelor’s degree, technical certification or equivalent experience required in Mathematics, Statistics, Data Science, Computer Science, Health Informatics, Economics, or other relevant area • You must be eligible to work in the United States without sponsorship now or in the future. Preferred: • Background or interest in health insurance or healthcare • Understanding of industry-specific datasets (claims, EHR, etc.) or KPIs Company: Gravie is an insurance company that designs health benefits plans for small and midsize employers. Founded in 2013, the company is headquartered in Minneapolis, Minnesota, USA, with a team of 201-500 employees. The company is currently Late Stage.
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Jobright.ai is seeking a Data Analyst Intern to support quantitative and qualitative analysis for innovative healthcare solutions. The role involves data storytelling and collaboration to enhance business strategies.