Data Analyst, Network Analytics

New

Quest AnalyticsHealthcare analytics

Overland Park, KSFull-TimeMiddle

Salary not disclosed

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Job Details

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 working with large, complex datasets and conducting in-depth data investigations.
Experience supporting product development, data quality initiatives, or analytics-driven business decisions.
Intermediate-to-advanced SQL proficiency for data extraction, transformation, and analysis.
Hands-on experience with Databricks, Spark, or similar distributed data processing tools.
Proficiency in one or more programming languages such as Python, SQL, R, Scala, or Java.
Experience with BI and data visualization tools such as Looker or similar platforms.
Experience using AI tools such as Claude for data analysis, pattern recognition, anomaly detection, or workflow automation.
Familiarity with emerging AI/ML concepts and their application in analytics and data quality improvement.
Understanding of data quality, governance, and stewardship principles.
Experience defining metrics, KPIs, and data models to support business and product needs.
Experience working with clients, vendors, and cross-functional stakeholders to understand requirements and deliver insights.

Conduct advanced analysis of complex datasets to identify trends and assess performance across campaigns, clients, and demographic segments.
Translate analytical findings into clear insights and recommendations for internal stakeholders and cross-functional partners.
Analyze healthcare provider and organizational data to resolve entity matching across sources and define data sourcing strategies, entity relationships, and data structures.
Lead data investigations to resolve data quality issues and support business initiatives.
Partner with Product, Engineering, Operations, and Client Services to develop data solutions.
Use SQL, Databricks, Python, and AI tools such as Claude to process and analyze large datasets.
Contribute to evaluating and adopting technologies that advance analytics capabilities.
Maintain data governance standards and support high-quality, reliable, compliant data assets.
Develop metrics, KPIs, and analytical frameworks to support products.
Document and track project work, ensuring tasks are scoped and managed in systems such as DevOps.
Recommend improvements to outreach strategies and data processes based on insights.

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