Data Analyst III
New
J
JobgetherHealthcare analytics
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 2–4 years of relevant professional experience required, with 5–7 years preferred.
- Required Skills
- PythonSQLMachine LearningTableauMicrosoft ExcelData visualizationR
Requirements
- Bachelor’s degree in a relevant discipline or equivalent professional experience.
- 2–4 years of relevant professional experience required; 5–7 years preferred.
- Demonstrated experience performing advanced data analysis, statistical modeling, and predictive analytics.
- Strong proficiency with programming tools such as SAS, SQL, Excel, R, or Python.
- Experience preparing, cleaning, transforming, and analyzing complex datasets.
- Strong SQL and relational database skills, including joining and manipulating data across multiple tables.
- Experience developing predictive models and applying machine learning algorithms.
- Strong understanding of statistical methodologies, sampling techniques, and analytical best practices.
- Ability to create clear and sophisticated data visualizations using tools like Tableau.
- Strong analytical and problem-solving abilities focused on identifying actionable insights.
- Base SAS certification is preferred.
Responsibilities
- Prepare, clean, validate, and transform data from multiple sources to support advanced analytical initiatives.
- Conduct complex statistical analyses to identify meaningful trends, patterns, variances, outliers, and percentile-ranked groups.
- Apply statistical modeling, predictive analytics, and machine learning techniques to generate actionable insights and support decision-making.
- Develop and implement predictive models to forecast trends and enable proactive planning.
- Design and implement statistically sound sampling methodologies for analytical and investigative activities.
- Develop code to join and manipulate multiple relational database tables required for complex analyses.
- Create sophisticated charts, dashboards, and graphical presentations that communicate analytical findings clearly.
- Develop comprehensive analytical reports that provide actionable recommendations for strategic and operational decisions.
- Collaborate with data analysts and business teams to understand requirements and align work with objectives.
- Contribute to the design of re-measurement strategies that assess interventions and quantify impact.
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