Analyze and link Medicaid claims and public health data, develop health disparity measures, and create analyses and dashboards for program and policy users while supporting research briefs and data governance.
Data Analyst, Network Analytics
📜 Description
- Analyze healthcare claims, provider directory, and network data to identify trends and assess network performance.
- Investigate provider data, entity matching, data quality issues, and sourcing strategies across multiple sources.
- Translate findings into clear insights, recommendations, metrics, and KPIs for products and business decisions.
- Partner with Product, Engineering, Operations, and Client Services to develop data solutions.
- Use SQL, Databricks, Python, and AI tools to analyze large datasets and improve analytical workflows.
- Maintain data governance standards, document project work, and recommend improvements to data processes.
🛠️ Requirements
- Bachelor's degree in Data Analytics, Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3+ years of data analysis experience, preferably in healthcare, SaaS, or data-intensive environments.
- Experience investigating large, complex datasets and supporting product development, data quality, or analytics-driven decisions.
- Intermediate to advanced SQL proficiency and experience with Databricks, Spark, or similar distributed data platforms.
- Proficiency in a programming language such as Python, SQL, R, Scala, or Java; experience with BI and data visualization tools.
- Experience using AI tools for analysis, pattern recognition, anomaly detection, or workflow automation.
- Knowledge of data quality, governance, stewardship, metrics, KPIs, and data modeling.
- Strong communication, organization, stakeholder collaboration, and ability to manage multiple priorities.
✨ Benefits
- Competitive salary and success sharing bonus
- Flexible vacation, plus sick time and holidays
- An entrepreneurial culture that won't limit you to a job description
- Being listened to, valued, appreciated -- and having your contributions rewarded
- Enjoying your work each day with a great group of people
- Careers.questanalytics.com
- Next Steps
- After you apply, you will receive an email confirming receipt of your application.
Full job description
What you'll do:
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Conduct advanced data analysis on complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights
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Translate analytical findings into clear insights and recommendations that support internal stakeholders and cross-functional partners
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Analyze healthcare provider and organizational data to resolve entity matching across multiple data sources, determine data sourcing strategies, define entity relationships and data structures, and identify opportunities to leverage data in new products and features
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Lead data investigations to resolve data quality issues and support business initiatives
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Partner cross-functionally with Product, Engineering, Operations, and Client Services to develop data solutions
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Use SQL, Databricks, Python, and AI tools (e.g., Claude) independently to process, analyze, and derive insights from large datasets
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Contribute to the evaluation and adoption of new technologies that advance analytics capabilities
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Maintain and contribute to data governance standards, ensuring high-quality, reliable, and compliant data assets
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Develop metrics, KPIs, and analytical frameworks to support Quest products
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Document and track project work, ensuring tasks are properly scoped and managed in systems such as DevOps
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Identify and recommend improvements to outreach strategies and data processes based on insights
What it requires:
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Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related field (or equivalent practical experience)
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3+ years of data analysis experience, preferably within healthcare, SaaS, or data-intensive environments
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Proven experience working with large, complex datasets and conducting in-depth data investigations
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Experience supporting product development, data quality initiatives, or analytics-driven business decisions
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Strong proficiency in SQL (intermediate to advanced) for data extraction, transformation, and analysis
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Hands-on experience with modern data platforms such as Databricks, Spark, or similar distributed data processing tools
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Proficiency in one or more programming languages such as Python, SQL, R, Scala, or Java
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Experience with BI and data visualization tools (e.g., Looker or similar platforms)
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Experience leveraging AI tools (e.g., Claude or similar platforms) to support data analysis, pattern recognition, anomaly detection, and workflow automation
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Ability to incorporate AI-assisted approaches into data investigations and reporting to improve efficiency and scalability
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Familiarity with emerging AI/ML concepts and their application in analytics and data quality improvement
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Strong understanding of data management best practices, including data quality, governance, and stewardship principles
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Experience defining and developing metrics, KPIs, and data models to support business and product needs
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Experience interacting with clients, vendors, and cross-functional stakeholders to understand requirements and deliver insights
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Excellent written and verbal communication skills, with the ability to present complex findings clearly
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Strong organizational skills and ability to manage multiple priorities
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Curiosity, adaptability, and a continuous learning mindset, particularly with evolving technologies and AI tools
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