Data Analyst V – Operational Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide analytical and operational assistance to the core processes of Enterprise Operations.

• Serve as a consultant and analytical support resource for the Enterprise.

• Collaborate with Information Technology to define, prototype, and implement business solutions.

• Perform statistical analyses and research on critical business processes and operations.

• Cultivate relationships with internal customers.

• Create custom reports, metrics, and key performance indicators from various data sources.

• Ensure proper understanding and application of analyses.

• Present findings that facilitate high-value decision-making.

• Write advanced SQL scripts for data extraction utilizing joins, complex subqueries, and aggregations.

• Reverse-engineer existing programs to comprehend and document data-extraction rules.

• Employ SAS, R, Python, or similar programming skills to manipulate and analyze extensive datasets.

• Prototype intricate operational reports and execute simulations or statistical analyses.

• Convert Big Data into metrics that are consumable by the business.

• Analyze data using sophisticated statistical tools and techniques to extract insights and identify opportunities.

• Generate advanced spreadsheets, documents, and presentations.

• Initiate and participate in peer reviews, leading sessions for significant deliverables.

• Act as a subject matter expert for one or more Health Business data sources.

• Provide guidance on the appropriate use of data.

• Mentor and support the long-term development of team members.

• Assist with the analysis, mapping, and documentation of processes and programs.

• Offer recommendations for corrections when necessary.

• Effectively communicate analysis results to internal customers and business partners.

⛳️ Requirements

• A minimum of 4 years of relevant work experience.

• A related bachelor’s degree or equivalent additional work experience.

• A bachelor’s degree is required; a master’s degree is preferred.

• Strong analytical and critical thinking capabilities.

• Experience in applying statistical methods and tools.

• Extensive experience writing SQL, SAS, R, or similar code.

• Previous experience in teaching, mentoring, or coaching analytical resources.

• Proficiency in Microsoft Office applications, including Excel and PowerPoint.

• Ability to manage tasks independently, take ownership of responsibilities, and meet deadlines.

• Excellent written and oral communication skills.

• Preferred: practical experience with predictive or statistical modeling techniques, including regression, classification, or forecasting in a business context.

• Preferred: familiarity with Tableau or Microsoft Power BI.

• Preferred: exposure to machine learning concepts or techniques.

• Preferred: interest in advanced modeling and predictive analytics work.

🏝️ Benefits

• Medical, dental, vision, life, and global travel health insurance.

• Short- and long-term disability programs.

• Leave programs to accommodate personal circumstances.

• Retirement Savings Plan with employer match.

• Paid time off.

• Volunteer time off.

• 10 holidays.

• 2 well-being days.

• Additional voluntary benefits.

• Comprehensive wellness program.

• Opportunities for incentive or commission compensation.

• Annual reviews with pay-for-performance considerations for salary increases.