Resp & Qualifications
PURPOSE:
The main purpose of a data analyst is to find meaning in data so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions.
ESSENTIAL FUNCTIONS:
- Engages in data exploration using various programming languages (reading and writing code), requiring knowledge of multiple database structures
- Supports stakeholder in gathering business and technical requirements to deliver data driven solutions
- Produces technical documentation that is consistent with professional standards.
- Research and analyze data flow across data ecosystem including operational and analytical data platforms
- Serve as a knowledgeable resource supporting data questions and issues from stakeholders.
- Collect, analyze, and interpret data to glean insights, and suggest business appropriate recommendations
- Participate in the design, development, validation and delivery of data to provide insight into business decisions.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 3 years of data analysis or relevant work experience.
Preferred Qualifications:
- Experience in Healthcare Industry
- Degree in a quantitative field preferred (e.g., Business Analytics, Statistics, Data Science
- Intermediate Python skills (pandas, numpy, matplotlib/seaborn) for data wrangling and analysis
- Experience conducting diagnostic and exploratory data analysis (EDA) to identify trends and root causes
- Skill with stakeholder communication and translating analysis into business insights
- Familiarity with Git, dbt, or other version-controlled data development workflows is a plus
Advanced proficiency in:
- SQL for data extraction, transformation, and complex joins
- Power BI (building paginated and interactive dashboards using Power BI Report Builder and Desktop)
- Microsoft Fabric (dataflows, lakehouses, semantic models)
Knowledge, Skills and Abilities (KSAs)
- Quantitative ,analytical and problem solving skills.
- Knowledge and understanding of analytical tools, languages, applications, platforms.
- Excellent communication skills both written and verbal.
- Ability to learn quickly