Data Analytics - Bengaluru, Karnataka, India - Merck KGaA

Merck KGaA
Merck KGaA
Verified Company
Bengaluru, Karnataka, India

2 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter
Description
Work Your Magic with us


Ready to explore, break barriers, and discover more? We know you've got big plans '" so do we Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics.

Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.


You will support the Digital and Data Management team within Organization by using a collaborative, hands on, analytical problem-solving based approach to facilitate data extraction and cleansing activities in various eQMS systems and monitor progress.

You will participate in projects to roll out eQA Systems (e,g, TrackWise, Veeva, Palantir Foundry ) and in regular global eQA GLU Meeting as LS representative.


Who you are

  • Bachelor's degree in business (Quality/Operations/Product Management), IS, Data Analytics or related field.
  • 4 years' experience in data analysis and quality process improvement projects
  • Experience in various data preparation, migration, load and maintenance processes/methods
  • Profound Project management skills
  • Demonstrated good communication, organizational, presentation skills and problemsolving capacities.
  • Fluency in written and spoken English.
  • Experience in working in international teams.
  • Department LS-QDD Digital Systems
**Responsibilities:
- *
  • Support data extraction and analysis for business cleansing activities from various ERPs.
  • Support data cleansing by creating rulebased data verification programs.
  • Create data sets, mappings, and expressions for KPI development and extension.
  • Propose new KPI ideas based on available data and business requirements.
  • Support data enhancement and cleansing initiatives to fine tune reporting.
  • Support End User by sharing knowledge about data quality, scope, and completeness.
  • Perform functions on data governance data quality, compliance, security, and privacy. Support eQA Management System development, validation and roll outs including trainings.

What we offer:
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences.

We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology.

We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress
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