RA/QA Post Market Data Analyst
The RA/QA Data Analyst will be a member of the RA/QA data analytics team and use technical expertise
and a solid understanding of business processes and needs to turn data into useful information. In this
role, the analyst will work closely with the Post Market teams to understand, collect, clarify, and translate
business data requirements into reports and analytics as required. The analyst will be heavily involved
with the use, distribution, and successful delivery of reports on a periodic basis. The ideal candidate
would have medical device post market experience and have the ability to explore and integrate different
data sources using tools such as SQL and Tableau.
Responsibilities:
Partner primarily with Post Market teams to support data needs
Translate non-technical data requirements into metrics, reports, and visualization dashboards
Partner with business teams to define and document business requirements for new metrics and reports
Ability to execute deep dives into available data sets to provide insight on product quality performance
Develop user documentation and a variety of visual representation of data analysis and ensures
consistency and accuracy of data and analysis provided
Support business system integrations for data needs and report outputs
Perform ongoing monitoring and refinement of reports and analytical solutions to ensure a good user
experience in support reports and dashboards
Partner with architecture and solution delivery teams to enable reports that have long-term value
Perform functional, regression, usability test, etc. as applicable for both new and existing datasets,
reports and dashboards. Document and summarize test results and findings as required
Skill/Job Requirements:
Education: Bachelor s or higher degree in Statistics, Mathematics, Computer and Information Science or
equivalent blend of work and certification experience required
Minimum 5 years of data analytics experience, with 3+ years hands on using Tableau required
Minimum 3+ years of experience with Microsoft SQL or equivalent required
Programming skills and experience, especially for data exploration and presentation to management
The RA/QA Data Analyst will be a member of the RA/QA data analytics team and use technical expertise
and a solid understanding of business processes and needs to turn data into useful information. In this
role, the analyst will work closely with the Post Market teams to understand, collect, clarify, and translate
business data requirements into reports and analytics as required. The analyst will be heavily involved
with the use, distribution, and successful delivery of reports on a periodic basis. The ideal candidate
would have medical device post market experience and have the ability to explore and integrate different
data sources using tools such as SQL and Tableau.
Responsibilities:
Partner primarily with Post Market teams to support data needs
Translate non-technical data requirements into metrics, reports, and visualization dashboards
Partner with business teams to define and document business requirements for new metrics and reports
Ability to execute deep dives into available data sets to provide insight on product quality performance
Develop user documentation and a variety of visual representation of data analysis and ensures
consistency and accuracy of data and analysis provided
Support business system integrations for data needs and report outputs
Perform ongoing monitoring and refinement of reports and analytical solutions to ensure a good user
experience in support reports and dashboards
Partner with architecture and solution delivery teams to enable reports that have long-term value
Perform functional, regression, usability test, etc. as applicable for both new and existing datasets,
reports and dashboards. Document and summarize test results and findings as required
Skill/Job Requirements:
Education: Bachelor s or higher degree in Statistics, Mathematics, Computer and Information Science or
equivalent blend of work and certification experience required
Minimum 5 years of data analytics experience, with 3+ years hands on using Tableau required
Minimum 3+ years of experience with Microsoft SQL or equivalent required
Programming skills and experience, especially for data exploration and presentation to management