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Daniela Sera Email & Phone Number

Principal Statistical Programmer at Merck Group
Location: Germany 1 work role
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✓ Verified August 2026 2 data sources Profile completeness 86%

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Current company
Role
Principal Statistical Programmer
Location
Germany
Company size

Who is Daniela Sera? Overview

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Quick answer

Daniela Sera is listed as Principal Statistical Programmer at Merck Group, a with 31759 employees, based in Germany. AeroLeads shows a matched LinkedIn profile for Daniela Sera.

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Email format at Merck Group

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Merck Group

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Profile bio

About Daniela Sera

Daniela Sera is a Principal Statistical Programmer at Merck Group. She possess expertise in sas, analytics, data integration, business intelligence, data quality and 3 more skills.

Listed skills include Sas, Analytics, Data Integration, Business Intelligence, and 4 others.

Current workplace

Daniela Sera's current company

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Merck Group
Merck Group
Principal Statistical Programmer
Germany
Website
Employees
31759
AeroLeads page
1 role

Daniela Sera work experience

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Team & coworkers

Colleagues at Merck Group

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FAQ

Frequently asked questions about Daniela Sera

Quick answers generated from the profile data available on this page.

What company does Daniela Sera work for?

Daniela Sera works for Merck Group.

What is Daniela Sera's role at Merck Group?

Daniela Sera is listed as Principal Statistical Programmer at Merck Group.

Where is Daniela Sera based?

Daniela Sera is based in Germany while working with Merck Group.

What companies has Daniela Sera worked for?

Daniela Sera has worked for Merck Group.

Who are Daniela Sera's colleagues at Merck Group?

Daniela Sera's colleagues at Merck Group include Uschi Scharff, Hind Kajji, Morgan Perati, Eduardo Ochoa L, and Masato Suzuki.

How can I contact Daniela Sera?

You can use AeroLeads to view verified contact signals for Daniela Sera at Merck Group, including work email, phone, and LinkedIn data when available.

What skills is Daniela Sera known for?

Daniela Sera is listed with skills including Sas, Analytics, Data Integration, Business Intelligence, Data Quality, Data Warehousing, Etl, and Data Mining.

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