Data and Insight Analyst

Cotiviti

Data & Insights Analyst at Cotiviti shapes data strategy and delivers insights through advanced analytics. Collaborating in Agile environments to transform complex data into business value.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $75,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advanced analytics, data engineering, and machine learning, with a strong focus on delivering actionable insights and optimizing data solutions. Proficient in leveraging modern data platforms and tools to drive decision-making and enhance business performance.

Highest-signal resume keywords

Advanced AnalyticsData EngineeringMachine Learning Model DeploymentSQL ProficiencyHealthcare Analytics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonSparkDatabricksData ModelingStatistical AnalysisData Pipeline OrchestrationBusiness Intelligence ToolsAI FrameworksBig Data Technologies

Soft Skills

Critical ThinkingProblem-SolvingMentoringCommunicationCollaboration

Tools & Technologies

TableauMicroStrategyPower BIMLflowHadoop Ecosystem

Industry Keywords

Healthcare AnalyticsClaims DataData GovernanceAgile MethodologiesData Quality Monitoring

Tech Stack

Tools & technologies

CloudHadoopMySQLOraclePostgresPySparkPythonScalaScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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