Business Analytics Analyst

About the role

This is a great opportunity to make a unique but powerful impact using your exploratory analysis skills and expertise in statistical methods to determine what types of programs should be pursued, to solve problems and/or capitalize on new opportunities.

Responsibilities

• Help develop hypotheses and data analysis plans to determine the best approach for conducting descriptive analytics, create savings models, evaluate program outcomes, and size potential opportunities.
• Translate business ideas into testable hypotheses with guidance.
• Contribute to statistical analyses and data visualizations based on the broader analysis plan.
• Explore and interpret data patterns to evaluate program and business hypotheses.
• Query and manipulate both structured and unstructured data to support analysis.
• Help distill analytical findings into actionable insights for business decision-making.
• Use approved generative AI tools, when appropriate and in accordance with policy, to support coding, documentation, and summarization, while ensuring accuracy and quality.
• Analyze data to inform key strategic business decisions.
• Perform descriptive analyses, develop savings models, and evaluate program outcomes and size potential opportunities under general supervision.
• Support the translation of business ideas to working hypotheses.
• With supervision, produce statistical analyses and visualizations from the broader analysis plan.
• Identify and analyze data patterns to test business and program hypotheses.
• Perform data querying and manipulation of structured and unstructured data sets.
• Support the synthesis of analysis results into insights for business decisions.

Requirements

• Bachelor's Degree in Statistics, Economics, Actuarial Science, Informatics, Epidemiology, Biostatics, Data Science, or other related field is required.
• A minimum of one (1) year of related work experience.
• Previous experience programming (at least one language) is required.
• Basic knowledge of how health care claims are billed and how the health system works.
• Strong analytical, organizational, and problem-solving skills.
• Basic knowledge about different evaluation study designs (i.e., case-control, cohort), methodologies for controlling for population differences in studies (i.e., regression analysis, propensity score matching), and programming (SQL, SAS, R or Python).
• Intermediate skills in Microsoft Access, Word, PowerPoint and Excel.

Qualifications

• Master’s degree or PhD in related field is preferred.
• Basic knowledge of statistical testing techniques (i.e. ANOVA t-tests, chi-squared, etc.).

Skills

• Exploratory analysis skills.
• Statistical methods.
• Programming (SQL, SAS, R or Python).
• Microsoft Access, Word, PowerPoint and Excel.
• Generative AI tools.

Benefits

N/A

Pay

N/A

Schedule

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