Specialist Data Analytics

On-siteMidData Analystposted 1mo ago

✦Role summaryAI-generated

This role focuses on building and maintaining statistical analysis tools to evaluate product quality and customer complaints in the healthcare sector. You will generate data extracts, create quality metrics, and support leadership with detailed reporting and risk assessments.

Skills required

Statistics SQL Python Data visualization Reporting Data extraction Quality metrics Risk assessment Business intelligence Data analysis AI

About this role

Establishment of statistical analysis tools and methods
Support the establishment and maintenance of framework for Business Performance assessment that are related to e.g. product quality, customer complaints, cost of poor quality etc.
Support establishing quality data metrics for various internal customers, reviews, reports and forums.
Generate reports and data extracts for Quality Management, advanced analytics and research from both external and internal data sources.
Support the assessment of potential product risks (from data reporting, prediction of performance and/or market observation and identified quality problems) by providing initial evaluations of e.g. data reports
Key contribution on creation and maintenance of quality reporting for leadership
Pre-assess and supports investigating complex data related issues and synthesizes quantitative and qualitative information using past, current, and future trending information
Assist with various projects as assigned by a direct supervisor.
Support CAPA processing by e.g. data analysis and reports.
Support external and internal audit requests within Vertical organization by providing data
Utilization of predictive analytics and AI to support the identification and reporting of potential and actual quality related issues.
Support review and adjustment (optimization of fit for use and reduction of non-added value) of quality processes such as CAPA, Compliant Handling, Training, Internal/External Audit, GPDP, Change Management, Risk Management, Management Review etc.