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Specialist Data Analytics

Address: Bengaluru, Bengaluru, KA 560066, India

Job ID: R0270168

Location Type: Hybrid

Job Overview

Fresenius Medical Care serves around 292,000 dialysis patients worldwide and provides products in more than 140 countries. We are a vertically integrated medical technology (MedTech) and healthcare service company made up of three operating segments: Care Delivery, Value-Based Care, and Care Enablement. This structure allows us to provide the full spectrum of healthcare services, systems, devices, technologies, products, and pharmaceuticals to deliver high-quality care to people living with kidney disease.

A healthcare worker in protective clothing holds hands and smiles at an older patient receiving medical treatment, while another patient sits nearby in a clinic setting.

Job Description

  • 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.

Care in every moment.
Connection in every step.

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