Senior Data Quality Analyst
New
O
OrganOxMedical devices
Workable workplace: remoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience in data analytics; minimum of two years of experience in a senior analytical role
- Required Skills
- PythonSQLMicrosoft Power BIMicrosoft ExcelData visualizationPowerPointDatabricksR
Requirements
- Hold a bachelor’s degree in an analytical or research field, such as Math, Physics, Engineering, Computer Science, or Statistics, and have 5+ years of data analytics experience, or an equivalent combination.
- Have a minimum of two years of experience in a senior analytical role.
- Have a solid foundation in statistics and practical experience with statistical software such as Excel and Power BI.
- Have mastery of data analysis languages including SQL, Python, and R.
- Be proficient in creating presentations and data visualizations in PowerPoint.
- Demonstrate analytical ability to compile, structure, examine, and present substantial datasets accurately.
- Be able to critically evaluate data and derive actionable insights.
- Be able to explain complex data insights to non-technical audiences.
- Be able to work independently.
- Be able to travel 10%.
- Advanced degree preferred.
- Medical device or pharmaceutical industry experience preferred.
- Quality Management System process knowledge preferred.
- Databricks expertise preferred.
Responsibilities
- Ensure data analysis and reporting are accurate, consistent, and reliable throughout their lifecycle.
- Cleanse data and review computer-generated reports to identify and correct coding errors.
- Gather data from databases, APIs, and third-party sources, and maintain databases and data systems.
- Create and maintain processes for accurate, timely reporting that helps stakeholders act on data insights.
- Identify opportunities for process improvement and work with managers to define analysis requirements.
- Design scripts and tools to automatically extract large volumes of data from websites and other digital sources.
- Analyze datasets using statistical techniques to detect trends, patterns, correlations, and actionable insights.
- Develop dashboards, charts, and other visual aids to support decision-making across departments.
- Manage databases to ensure they remain secure, accessible, and functional.
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