Senior Data Analyst
About The Position
Provides data analysis and interpretation of data results in support of the Operations team through development of reporting tools and acquiring data through existing systems and tools. Creates, standardizes, validates, and documents data and data reporting. Develop and implement data collection systems, databases, data analytics and other strategies that optimize operations efficiency and quality Interpret data and analyze results using statistical techniques Identify, analyze and interpret trends or patterns in complex data sets Develop and implement data collection systems, data analytics, databases, while optimizing efficiency and quality Works with departmental managers to outline specific data needs for projects and reporting Develop dashboards to inform business decisions with an emphasis on automation and scalability Translate manufacturing data into information. Employ root cause analysis and troubleshooting to data reports and system tools Other related duties as required
Requirements
- Bachelor’s Degree or 6+ years of experience in lieu of a degree - required
- 1-2 years work experience as a data analyst or equivalent
- Strong computer skills including standard Microsoft applications
- Basic experience interfacing with server-based database systems
- Excellent analytical and mathematical skills with the ability to collect, organize, analyze, and provide data with attention to detail and accuracy.
- Understanding of the processes and data entry related to standard functions in a manufacturing company
- Education or experience in statistics or business analytics
- Related experience in FDA-/ISO-controlled environment
Responsibilities
- Provides data analysis and interpretation of data results in support of the Operations team through development of reporting tools and acquiring data through existing systems and tools.
- Creates, standardizes, validates, and documents data and data reporting.
- Develop and implement data collection systems, databases, data analytics and other strategies that optimize operations efficiency and quality
- Interpret data and analyze results using statistical techniques
- Identify, analyze and interpret trends or patterns in complex data sets
- Develop and implement data collection systems, data analytics, databases, while optimizing efficiency and quality
- Works with departmental managers to outline specific data needs for projects and reporting
- Develop dashboards to inform business decisions with an emphasis on automation and scalability
- Translate manufacturing data into information.
- Employ root cause analysis and troubleshooting to data reports and system tools
- Other related duties as required
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
