SAS Data Analytics & Quality Analyst

IQVIA

Madrid

On-site

EUR 32,000 - 42,000

Full time

14 days+
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Job summary

Jobtailor in Madrid is seeking a data quality analyst to ensure data integrity across multiple sources and support QA for data offerings.

The role requires at least one year in a data analytics role, SAS programming skills, and proficiency with SQL, Excel, and related tools. You will collaborate with internal teams and clients to address data exceptions and drive process improvements.

A scientific degree is preferred, with strong attention to detail and communication skills essential for success.

Qualifications

  • Bachelor’s degree in a scientific field (statistics preferred).
  • At least one year of experience in data analytics or a similar role.
  • SAS programming skills are required.
  • Experience with SQL or R is a plus.

Responsibilities

  • Ensure data integrity and high-quality outputs across data sources.
  • Support quality control and QA for data products.
  • Perform standard data quality checks and identify patterns using statistics.
  • Evaluate business data to ensure alignment with local market rules.
  • Analyse processes and suggest opportunities for improvement.
  • Document procedures to support team consistency.
  • Assist in resolving data exceptions and respond to client queries.
  • Maintain and track KPIs to monitor performance and accuracy.
  • Provide support for clients and business initiatives when required.

Skills

Data analytics
Analytical thinking
Communication
Problem solving
Detail-oriented

Education

Bachelor’s degree in statistics or a related field

Tools

SAS
SQL
R
Excel
PowerPoint
Access

Job description

Jobtailor in Madrid is seeking a data quality analyst to ensure data integrity across multiple sources and support QA for data offerings.

The role requires at least one year in a data analytics role, SAS programming skills, and proficiency with SQL, Excel, and related tools. You will collaborate with internal teams and clients to address data exceptions and drive process improvements.

A scientific degree is preferred, with strong attention to detail and communication skills essential for success.

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