Senior Health Data Analytics Consultant

PwC; Atlanta (GA); On-site; USD 77,000 - 202,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401k

Holiday pay

Vacation

Sick leave

Job summary

PwC in Atlanta is seeking a Health Data Science Consultant- Senior Associate to analyze workforce data, build predictive models, and drive strategic decisions that enhance employee performance.

The role requires collaborating with clients, leveraging Python, Alteryx, and Power BI, and applying ML techniques to deliver actionable recommendations while growing technical skills and leading teams.

Qualifications

• Bachelor's degree required.
• Experience of at least 3 years in health data analytics or related field.
• Proficiency with data visualization and analytics tools.

Responsibilities

• Analyze client workforce data to identify trends and build predictive models.
• Provide actionable recommendations to support workforce decisions.
• Develop workforce strategies to improve employee engagement and organizational effectiveness.
• Use Alteryx and Power BI for data visualization and reporting.
• Collaborate with clients to understand HR needs and deliver tailored solutions.
• Apply machine learning techniques to enhance data-driven decisions.
• Conduct complex data analyses to support talent management initiatives.
• Build and maintain client relationships to drive outcomes.
• Guide teams in using emerging analytics technologies and methodologies.
• Interpret data to inform insights and recommendations.

Skills

Python for data analysis

Alteryx

Power BI

Machine learning

Data analytics

Communication with clients

Education

Bachelor's degree

Tools

Alteryx

Power BI

Python

Job description

PwC in Atlanta is seeking a Health Data Science Consultant- Senior Associate to analyze workforce data, build predictive models, and drive strategic decisions that enhance employee performance.

The role requires collaborating with clients, leveraging Python, Alteryx, and Power BI, and applying ML techniques to deliver actionable recommendations while growing technical skills and leading teams.