Data Analyst, Network Analytics

🕒 October 22

🏈 Alabama, Arizona, +36 more states – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quest Analytics, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1993

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Quest Analytics, LLC is a leading provider of network management solutions and services for healthcare provider networks. The company offers comprehensive tools to manage, analyze, and optimize healthcare provider networks, ensuring efficient access to high-quality healthcare. Their cloud-based Quest Enterprise Services and Quest Analytics Suite provide advanced decision applications, network compliance, performance evaluation, and data integrity tools. Quest Analytics works closely with health systems, regulators, and payers to enhance provider network adequacy and improve healthcare access across the United States.

📋 Description

• Conduct advanced data analysis on complex datasets to identify trends, assess performance across campaigns, clients, and demographic segments, and deliver actionable insights • 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 multiple data sources, determine data sourcing strategies, define entity relationships and data structures, and identify opportunities for new products and features • 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 and contribute to data governance standards • Develop metrics, KPIs, and analytical frameworks to support Quest products • Document and track project work in systems such as DevOps • Identify and recommend improvements to outreach strategies and data processes • Advance health plan provider network analytics using claims, provider directory, and provider network data

🎯 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 within healthcare, SaaS, or data-intensive environments • Proven experience working with large, complex datasets and conducting in-depth data investigations • Experience supporting product development, data quality initiatives, or analytics-driven business decisions • Strong proficiency in SQL (intermediate to advanced) • Hands-on experience with Databricks, Spark, or similar distributed data processing tools • Proficiency in Python, SQL, R, Scala, or Java • Experience with BI and data visualization tools such as Looker • Experience leveraging AI tools such as Claude for data analysis, pattern recognition, anomaly detection, and workflow automation • Ability to incorporate AI-assisted approaches into data investigations and reporting • Familiarity with emerging AI/ML concepts and their application in analytics and data quality improvement • Strong understanding of data management best practices, including data quality, governance, and stewardship principles • Experience defining and developing metrics, KPIs, and data models • Experience interacting with clients, vendors, and cross-functional stakeholders • Excellent written and verbal communication skills • Strong organizational skills and ability to manage multiple priorities • Curiosity, adaptability, and a continuous learning mindset • Applicants must be legally authorized to work in the United States • Visa sponsorship is not available at this time

🏖️ Benefits

• Workplace flexibility – you choose between remote, hybrid or in-office • Affordable employee medical, dental and vision plans with low employee cost • 401k Matching • Wellness 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 • Professional reference checks via Skill Survey • Camera-enabled virtual interviews • Personal growth opportunities

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