
Data Analyst, Network Analytics
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Alabama, +37 more states.
• Perform sophisticated data analysis on intricate datasets to uncover trends, evaluate performance across campaigns, clients, and demographic segments, and provide actionable insights.
• Convert analytical outcomes into clear insights and recommendations for internal stakeholders and cross-functional teams.
• Examine healthcare provider and organizational data to resolve entity matching across diverse data sources, establish data sourcing strategies, define entity relationships and data structures, and pinpoint opportunities for new products and features.
• Spearhead data investigations to address data quality challenges and support business initiatives.
• Collaborate with Product, Engineering, Operations, and Client Services to create data-driven solutions.
• Utilize SQL, Databricks, Python, and AI tools such as Claude to manage and analyze substantial datasets.
• Play a role in assessing and adopting technologies that enhance analytics capabilities.
• Uphold and contribute to data governance standards.
• Formulate metrics, KPIs, and analytical frameworks to bolster Quest products.
• Record and monitor project activities in systems such as DevOps.
• Identify and suggest enhancements to outreach strategies and data processes.
• Advance analytics for health plan provider networks using claims, provider directory, and provider network data.
• Bachelor’s degree in Data Analytics, Computer Science, Engineering, or a related discipline (or equivalent practical experience).
• Over 3 years of data analysis experience, ideally within healthcare, SaaS, or data-rich settings.
• Demonstrated experience working with large, complex datasets and conducting thorough data investigations.
• Experience in supporting product development, data quality initiatives, or analytics-driven business decisions.
• Advanced proficiency in SQL (intermediate to advanced level).
• Practical experience with Databricks, Spark, or comparable distributed data processing tools.
• Proficient in Python, SQL, R, Scala, or Java.
• Familiarity with BI and data visualization tools like Looker.
• Experience utilizing AI tools such as Claude for data analysis, pattern recognition, anomaly detection, and workflow automation.
• Ability to integrate AI-assisted methodologies into data investigations and reporting.
• Awareness of emerging AI/ML concepts and their application in analytics and data quality enhancement.
• Strong grasp of data management best practices, including data quality, governance, and stewardship principles.
• Experience in defining and developing metrics, KPIs, and data models.
• Experience engaging with clients, vendors, and cross-functional stakeholders.
• Exceptional written and verbal communication abilities.
• Strong organizational skills with the capacity to handle multiple priorities.
• Curiosity, adaptability, and a commitment to continuous learning.
• Applicants must be legally authorized to work in the United States.
• Visa sponsorship is not available at this time.
• Workplace flexibility – you decide between remote, hybrid, or in-office options.
• Cost-effective employee medical, dental, and vision plans with low employee contributions.
• 401k Matching.
• Wellness benefits.
• Competitive salary and success-sharing bonus.
• Flexible vacation, along with sick leave and holidays.
• An entrepreneurial culture that allows for growth beyond a job description.
• Being heard, valued, appreciated – with your contributions recognized and rewarded.
• Enjoying your work daily with a fantastic team.
• Professional reference checks through Skill Survey.
• Camera-enabled virtual interviews.
• Opportunities for personal growth.
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