Apply

RCM Business Analyst

Posted 2 days agoViewed

View full description

💎 Seniority level: Senior, 5–8 years

📍 Location: US

💸 Salary: 130000.0 - 150000.0 USD per year

🔍 Industry: Healthcare technology

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 9 months agoArtificial Intelligence (AI)HospitalInformation TechnologyHealth Care

🗣️ Languages: English

⏳ Experience: 5–8 years

🪄 Skills: PythonSQLData AnalysisData visualization

Requirements:
  • 5–8 years of experience in business intelligence, data analytics, or a related role.
  • Revenue Cycling Expertise: Strong conceptual understanding of inpatient mid-revenue cycle processes and data.
  • SQL Proficiency: Comfortable with writing and optimizing queries for ad hoc analysis and debugging data issues.
  • Insight identification: Exceptional ability to translate raw data into actionable insights.
  • Mindset: Self-driven and adaptable, thriving in a fast-paced, ambiguous environment.
  • Problem-solving skills: Distinctive ability to identify patterns, prioritize what's critical, and focus on impactful solutions.
  • Communication skills: Proven ability to communicate complex analytic topics to non-technical audiences in written, verbal, and visual formats.
Responsibilities:
  • Produce Client-Focused Analysis: Embed with the Customer Success team to explore data, identify trends, and develop insights that address client needs and goals.
  • Create Data-Driven Narratives: Craft compelling, results-oriented narratives that highlight client performance, uncover opportunities for optimization, and support strategic decision-making.
  • Maintain Proactive Monitoring: Regularly track and interpret client health metrics, providing early detection of potential risks and opportunities.
  • Perform Exploratory Analysis and Reporting: Perform ad hoc SQL queries and leverage other analytical tools to conduct exploratory analyses in response to real-time business questions. Build and refine ad hoc data visualizations, reports, and prototypes to validate business hypotheses.
  • Build Relationships: Develop strong working relationships with cross-functional teams—like Finance, Product, and Customer Support—to understand the 'why' behind requests and align analytics with business objectives.
  • Bridge Business and Technical Teams: Serve as the liaison between technical and business teams, articulating complex findings in clear, actionable ways and influencing data-driven decision-making.
Apply