Renown is looking to improve patient outcomes and operational efficiency through data-driven initiatives. The Senior Data Analyst will lead data analysis and insights generation to support strategic decision-making, performance measurement, and health system improvement efforts.
Requirements
- Must have experience with data visualization tools (i.e., Power BI, Tableau, or Qlik) and techniques to develop and deliver impactful data models and data visualizations.
- Must have experience with querying or analyzing data to answer questions and solve problems and familiarity with different databases.
- Must exhibit proficiency in data analysis and statistical software including Alteryx, R, Python, SAS, SPSS, SQL, Power BI DAX, and other relevant programming environments.
- Must have experience with statistics and statistical analysis of data and general algorithm
- Must have experience with electronic medical records.
- Requires at least five (5) years working in data management, analysis, governance, reporting, or other BI related experience.
- Requires at least three (3) years working with healthcare data. SQL and statistical proficiency are required.
Responsibilities
- Lead data analysis and insights generation within one or more assigned domains, ensuring alignment with organizational goals and objectives.
- Responsible for acquiring, accessing, validating, querying, and analyzing data from data repositories using available tools (including Alteryx, Python, R, SQL, Power BI, or Microsoft Azure applications).
- Utilize statistical techniques and data mining methodologies to analyze complex clinical datasets. Identify trends, patterns, and correlations within the data to derive meaningful insights and actionable recommendations.
- Write scripts to integrate data, conduct exploratory data analysis to discover hidden trends, and use the right combination of tools and frameworks to turn complex sets of disparate data points into objective answers that inform decisions.
- Create clear and concise visualizations, reports, and dashboards to communicate data-driven insights to investigators.
- Ensure the accuracy and reliability of clinical and operational data by conducting quality assurance checks and implementing data validation procedures.
- Act as a data steward and implement best practices for data usage and documentation.
Other
- A minimum of 8 years of experience.
- Must possess excellent communication skills, both written and verbal, to effectively convey complex findings to non-technical stakeholders.
- Must possess strong attention to detail, problem-solving abilities, and the capacity to work independently and collaboratively in a team environment.
- Must have working-level knowledge of the English language, including reading, writing, and speaking English.
- This role can be either remote or hybrid.
