Data and Insight Analyst

🔥 35 minutes ago

🇺🇸 United States – Remote

💵 $75k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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Cotiviti

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

Healthcare Insurance • Fintech • Artificial Intelligence

Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.

📋 Description

• Support the architecture, design, and development of scalable analytics and reporting solutions across enterprise data platforms • Partner with business stakeholders to define analytical strategies, frame problems, and deliver insights that drive decision-making • Design and implement end-to-end data pipelines and workflows using modern big data and cloud technologies • Develop and optimize data models, dashboards, and self-service reporting solutions using tools such as Tableau, MicroStrategy, or similar platforms • Leverage Databricks platform capabilities (Delta Lake, Spark, notebooks, workflows) to build and maintain scalable data and analytics solutions • Integrate AI/ML models and advanced analytics into production workflows, including predictive modeling, anomaly detection, and automation of insights • Drive automation and operationalization of analytics solutions, including CI/CD practices and data quality monitoring • Provide technical leadership in code reviews, design reviews, and architecture decisions, ensuring adherence to best practices • Mentor and guide junior analysts and engineers, contributing to team capability development • Collaborate with cross-functional teams to ensure data governance, security, and compliance standards are met • Lead or contribute to the Analytics Center of Excellence, promoting reusable frameworks, standards, and innovation • Communicate complex analytical findings clearly to stakeholders at all levels, including executive audiences • Deliver solutions using Agile methodologies and actively contribute to sprint planning, backlog refinement, and retrospectives • Maintain documentation, data lineage, and knowledge repositories for all solutions • Complete all responsibilities as outlined in the annual performance review and/or goal setting

🎯 Requirements

• Bachelor’s degree in Business Analytics, Finance, Economics, Statistics, Mathematics, Data Science, Information Systems, or related quantitative/business field • 4+ years of experience in advanced analytics, data engineering, or data science roles • Proven experience delivering actionable insights and business impact from complex datasets • Experience working in modern data platforms, including cloud-based or distributed environments • Experience in healthcare analytics, claims data, or payment integrity strongly preferred • Advanced proficiency in SQL across multiple platforms (e.g., Oracle, PostgreSQL, MySQL) • Strong programming skills in Python, Spark (PySpark/Scala), or R • Hands-on experience with Databricks (Delta Lake, Spark optimization, job orchestration, MLflow) • Experience building and deploying machine learning models and working with AI frameworks (e.g., scikit-learn, TensorFlow, or similar) • Familiarity with Generative AI concepts, including prompt engineering, embeddings, or LLM-powered analytics use cases • Experience with data pipeline orchestration tools and workflow automation • Strong experience with business intelligence tools (Tableau, MicroStrategy, Power BI, etc.) • Knowledge of data warehousing, data modeling, and lakehouse architectures • Experience with big data technologies (Hadoop ecosystem, Spark, etc.) • Strong foundation in statistical analysis and quantitative methods • Ability to analyze and interpret healthcare utilization, cost trends, and financial data • Deep understanding of claims data and healthcare systems, including Medicare, Medicaid, and commercial insurance (or retail auditing equivalent) • Ability to translate business problems into analytical frameworks and solutions • Strong critical thinking and problem-solving skills with the ability to make data-driven recommendations • Proven ability to lead projects and influence stakeholders across multiple teams • Strong mentoring and coaching capabilities • Ability to communicate complex concepts clearly to technical and non-technical audiences, including executive leadership • Experience working in Agile environments • Ability to work independently and collaboratively in a fast-paced environment • Willingness to support critical deadlines, including occasional after-hours work • Flexibility to collaborate across global teams and time zones • Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word)

🏖️ Benefits

• health insurance • dental insurance • vision insurance • disability insurance • life insurance coverage • 401(k) savings plans • paid family leave • 9 paid holidays per year • 17-27 days of Paid Time Off (PTO) per year