Job Description
Senior Healthcare Data Analyst Location Remote :
Senior Healthcare Data Analyst / Scientist
Risk Strategies Consulting (RSC) is looking for an expert who can support our clients' healthcare initiatives through data-driven analytics solutioning and emerging data science methods.
To be successful in this role, you should not only possess strong mathematics capabilities and an analytical mindset, but also be able to effectively communicate strategy, methodologies, and data-oriented results to both internally and external key stakeholders. The candidate must have a proactive approach to work, a problem-solving aptitude, and a willingness to learn and adapt to emerging industry practices. The candidate will be motivated, well-organized, and a self-starter who thrives in a fast-paced and dynamic work environment. Your innovative work will directly impact our clients' financial strategies and decisions.
Core Characteristics
- Achievement-oriented - Enjoys taking on challenges, even if they might fail.
- Innovative - Prefers working in unconventional ways or on tasks that require creativity with multivariable inputs and uncertainties.
- Resource maximizing - Identifies and leverages team resource strengths, while maintaining awareness and pushing for needed growth opportunities.
- Autonomous/ independent - Enjoys working with little direction.
- Dynamically detail oriented - Has the awareness of the need and ability to go deep without getting lost, while staying grounded with the bigger picture.
- Critical thinker - Applies logic, reason, and rationale to a given problem and/ or proposed solution.
- Dependable - More reliable than spontaneous.
- Flexible - Ability to manage competing priorities in a fluid environment.
- Prioritizing - Effective with prioritization, goal setting, and time management.
- Communicator - Excellent in communications, interpersonally, and in writing.
Responsibilities
- Analyze complex healthcare data sets to identify trends, patterns, and insights.
- Create and present reports, dashboards, and visualizations to communicate findings to stakeholders.
- Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data.
- Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking.
- Leverage real-world, statistical data and modeling to recommend, test, validate, and track supporting health economics, return on investment (ROI), and healthcare benefit models for client businesses beyond traditional methods.
- Develop analytical analytics, data models, reporting, and data mining tools that scale across clients.
- Codevelop and implement data collection strategies, design, and maintain databases.
- Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations.
- Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity.
- Identify opportunities for process improvement and efficiency through data analysis.
- Stay up-to-date with industry trends and best practices in data analysis.
- Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment.
- Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data.
- Consult and provide expertise on new or enhanced product development opportunities including discussions on methodology, data requirements, coding implications, and the viability and profitability of a given proposal.
- Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s).
- Develop and maintain effective cross-functional working relationships to assure accurate, timely teamwork and project execution with assigned teams.
- Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences.
- Build and maintain client relationships.
- Monitor market trends, engage in market research, and identify opportunities for initiatives.
- Support the development and training of team members and colleagues.
Qualifications
Required:
- Bachelor's degree (BS) in Mathematics, Actuarial Science, Statistics or Computer Science.
- 7+ years' working experience as an Actuarial Analyst, Data Analyst, or Data Scientist in the HealthCare sector.
- 5+ years of hands-on experience with structured query languages and statistical computing (e.g., R, RStudio, SQL, Python, SAS).
- 3+ years of hands-on experience building and conducting ETL tasks.
- Experience with analytical analysis using Machine Learning techniques.
- Expert with data mining and visualization tools such as Qlik, Tableau, or Power BI.
- Experience with developing medical and pharmacy utilization reporting, establishing utilization trends, and identifying meaningful and actionable observations.
- Experience with underwriting insurance premiums is a plus.
- Must possess strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy.
- Ability to generate information quickly and manage multiple projects at once.
- Knowledge of insurance legislation, conducting health statistical modeling for medical and pharmacy, ROI analyses, and indirect comparisons and also hands on expertise with respect to newer and non-traditional data science approaches.
- Diverse experience of healthcare databases and data sources (claims, encounters, labs, EMR etc.).
- Extensive knowledge of healthcare/medical economics data such as hospital/physician /ASC claims, utilization data, and healthcare industry coding systems ICD-10, CPT/HCPCS, Revenue Codes, MS/APR-DRGs and APC.
- Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness.
- Solid knowledge of business, financial, strategic concepts, and emerging trends.
- Solid interpersonal skills, oral and written, and a professional presence.
Job Type: Full-time
Pay: $95,000.00 - $120,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Vision insurance
- Work from home
Schedule:
- Monday to Friday
- Weekends as needed
Work setting:
Ability to Relocate:
- Remote: Relocate before starting work (Required)
Work Location: Remote
Job Tags
Full time, Work experience placement, Remote job, Work from home, Relocation, Flexible hours, Weekend work, Monday to Friday,