Data Analyst

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November 20

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OneImaging

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Healthcare Insurance • B2B • SaaS

OneImaging is the nation's leading comprehensive radiology care management platform, dedicated to drastically reducing the cost of medical imaging. By providing transparent pricing and seamless integration with insurance plans, OneImaging enables its members to access imaging services that are typically 80% cheaper than the national average. The company offers nationwide coverage with over 4,800 accredited centers and aims to make diagnostic imaging an affordable employee benefit. By focusing on prevention, detection, and diagnostics, OneImaging helps in the early diagnosis of chronic diseases, ultimately reducing healthcare costs and improving patient outcomes.

2 - 10 employees

⚕️ Healthcare Insurance

🤝 B2B

☁️ SaaS

📋 Description

• Partner with operations, data, engineering, and product teams to address complex business challenges through data-first analytical strategies and solutions • Build, maintain, and optimize scalable dashboards, automated reports, and self-service tools for teams across OneImaging • Champion the adoption and integration of data tooling within company workflows, educating and uplifting team proficiency in modern solutions and innovative thinking • Communicate complex insights clearly to technical and non-technical stakeholders, influencing decisions and business outcomes • Continuously explore and experiment with emerging technologies and automation methods to advance the team’s analytics offerings

🎯 Requirements

• 7+ years of experience in analytics, operations, product, engineering, or related fields—ideally within deadline focused tech environments or consulting • Bachelor’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or equivalent practical experience • Advanced proficiency in SQL for data analysis and automation • Proven experience building and deploying scalable data products and productizing dashboards using BI tools (e.g., Tableau, Looker, Power BI, etc.) • Solid understanding of statistical analysis with practical application to real-world business problems • Demonstrated ability to independently manage analytics projects end-to-end, from problem definition to business adoption and impact measurement • Hands-on experience with Business Intelligence products development, deployment, and/or integration • Rudimentary Python coding knowledge for ad-hoc data processing

🏖️ Benefits

• Equity incentive and competitive benefits plans