Specialist Data Analytics
Hybrid Bengaluru Full-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Freseniusmedicalcare. Bengaluru · full-time.
Pay not stated Data Analysis & BI salary
RoleData Analysis & BI
SeniorityMid-level
LocationBengaluru
WorkplaceHybrid
EmploymentFull-time
PostedNov 2, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Create statistical approaches and maintain quality-performance assessments covering product quality, complaints and poor-quality costs
- Set up quality measures for internal teams and prepare review materials, leadership reports and data extracts
- Review data reports, performance forecasts, market signals and quality problems to provide initial product-risk assessments
- Combine past, current and projected trends with qualitative and quantitative evidence to help examine complex data issues
- Analyze CAPA data, supply information for audits, and use predictive analytics and AI to identify quality concerns
What you bring
- You bring experience with statistical analysis methods and quality-performance assessment
- You can generate reports and analyze internal and external data for quality management
Who this fits
This mid-level role is based in Bengaluru with a hybrid arrangement. It suits you if you want to focus on quality data, reporting and analysis while supporting process reviews and assigned projects.
From the employer
- 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.
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