Data Analyst II, Healthcare Analytics

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

📋 Description

• Analyze comprehensive and integrated datasets to derive value and influence business decisions.

• Partner with key business stakeholders to pinpoint areas of value, create solutions, and provide insights aimed at reducing overall care costs and enhancing clinical outcomes.

• Interpret and analyze data from healthcare providers, members/patients, and third-party sources.

• Assist in the execution of large-scale projects with minimal guidance from leadership.

• Identify and conduct root-cause analysis of data discrepancies, presenting findings and proposed solutions to leadership and/or customers.

• Oversee multiple variable tasks and data review processes within set timelines.

• Aid in the design, testing, and implementation of process improvements while identifying automation opportunities.

• Utilize quantitative analysis, data mining, and data presentation skills to comprehend customer interactions with analytic products.

• Convey findings and insights both verbally and visually to non-technical business partners.

• Independently engage with customers and business partners to collect requirements and validate results.

• Deliver data-driven insights and recommendations to both internal and external stakeholders, incorporating their feedback.

• Execute additional duties as assigned.

• Adhere to all policies and standards.

⛳️ Requirements

• Must be authorized to work in the U.S. without requiring employment-based visa sponsorship, now or in the future.

• Bachelor’s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance, or a related field, or equivalent experience.

• 2+ years of experience with large databases, data verification, and data management, or 1+ years of IT experience.

• Proficient in SQL/query languages.

• Experience in healthcare analytics is preferred.

• Familiarity with programming languages such as Python and R is preferred.

• Knowledge of statistical, analytical, or data mining techniques, including basic data modeling, trend analysis, and root-cause analysis is preferred.

• Preferred familiarity with modern business intelligence and visualization tools.

🏝️ Benefits

• Competitive pay.

• Health insurance.

• 401K plan.

• Stock purchase plan.

• Tuition reimbursement.

• Paid time off plus holidays.

• Flexible work approach with options for remote, hybrid, field, or office schedules.

• Additional incentives may be included in total compensation.

• Equal opportunity employer committed to diversity.