Healthcare Revenue Analytics Specialist

kodiaksolutions; United States; Presencial; USD 90 000 - 130 000; Tempo integral

Resumo da oferta

Kodiak seeks a Revenue Cycle Data Analytics Consultant to drive day-to-day analytics projects and deliver high-quality analyses. You will work with clients to improve processes and translate insights into dashboards, leveraging SQL and BI tools.

Collaboration with executives and stakeholders is core to the role, with emphasis on accuracy and data quality. The ideal candidate has 2+ years in consulting or professional services, strong healthcare finance data experience, and excellent

Qualificações

• Bachelor's degree in Business, Analytics, or BS; MBA/MPH/MPA a plus.
• Strong SQL proficiency with advanced techniques.
• Experience with data visualization tools; Sigma/Power BI a plus.
• Revenue cycle/Healthcare finance data experience.
• 2+ years in professional services or consulting.
• Excellent written and verbal communication.
• Detail-oriented with strong time management and organizational skills.

Responsabilidades

• Perform day-to-day tasks for revenue cycle data analytics projects.
• Provide high-quality analysis and process improvement solutions.
• Collaborate with client management at all levels.
• Ensure accurate and insightful data quality in engagements.
• Translate data insights into slides and dashboards for stakeholders.

Conhecimentos

SQL proficiency

Data visualization

Excel skills

Communication skills

Consulting experience

Revenue cycle knowledge

Analytical skills

Attention to detail

Multi-tasking

Formação académica

Bachelor's degree in Business/Analytics/BS

Ferramentas

Sigma/Power BI

Descrição da oferta de emprego

Kodiak seeks a Revenue Cycle Data Analytics Consultant to drive day-to-day analytics projects and deliver high-quality analyses. You will work with clients to improve processes and translate insights into dashboards, leveraging SQL and BI tools.

Collaboration with executives and stakeholders is core to the role, with emphasis on accuracy and data quality. The ideal candidate has 2+ years in consulting or professional services, strong healthcare finance data experience, and excellent