Decision Scientist – Medicare Data Analysis & Forecast Interpretation
Overview:
We are looking for an analytical and technically proficient Decision Scientist to join our data insights team. This role requires deep SQL expertise, solid Python coding capabilities, and strong proficiency in Excel and PowerPoint. The ideal candidate will have a strong analytical mindset, the ability to interpret forecasting or machine learning model outputs, and a background in healthcare or Medicare analytics is highly desirable.
Key Responsibilities:
- Perform complex data extraction and analysis using advanced SQL techniques.
- Conduct data exploration, root cause analysis, and hypothesis-driven problem solving.
- Develop code in Python to support analytical models and reporting workflows.
- Work extensively in Excel to manipulate data, build pivot tables, and create summary insights.
- Interpret outputs from forecasting and machine learning models to derive actionable business insights.
- Support the development of presentations and visual narratives in PowerPoint to communicate findings.
- Collaborate with cross-functional teams to understand business problems and deliver data-driven recommendations.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field.
- Proficiency in SQL (required), with strong Python skills (approximately 75% relative to a Data Scientist level).
- Advanced skills in Microsoft Excel (formulas, pivot tables, data manipulation).
- Intermediate proficiency in PowerPoint to present insights clearly and effectively.
- Experience interpreting the outputs of forecasting or ML models.
- Strong analytical skills, including root cause analysis and pattern recognition.
- Experience in healthcare analytics, particularly with Medicare data, is highly desirable.
Ideal Candidate Profile:
You are a data-savvy problem solver who thrives in translating complex data into actionable insights. Your technical skills in SQL, Python, Excel, and visualization tools are complemented by strong critical thinking and communication abilities. You are particularly adept at working across large datasets, identifying patterns, and supporting strategic decision-making.