Data Analyst Operations Specialist

hace 4 semanas


Xico, México Nielseniq A tiempo completo
About the Role

We are seeking a highly skilled Data Analyst to join our Innovation team, working in the space of automation, Artificial Intelligence/Machine Learning, product design, testing, and new product rollouts. As a member of the Innovation Solutions team, you will work in a dynamic, multinational, and virtual environment, collaborating with colleagues across Nielsen Operations Center.

Key Responsibilities:

  • Design, develop, and implement data pipelines to support data-driven decision making.
  • Collaborate with cross-functional teams to understand business requirements and develop data solutions.
  • Work with DevOps teams to automate deployment, testing, and monitoring of data systems.
  • Debug and troubleshoot data pipelines.
  • Develop and maintain documentation for data systems.
  • Stay up-to-date with the latest technologies.

About You

We are looking for a talented Data Analyst with a strong background in Python programming, experience with big data technologies, and a passion for innovation. If you have a strong problem-solving and analytical mindset, excellent communication skills, and a team player attitude, we encourage you to apply.

Requirements:

  • 1-2 years of experience in Data Analyst.
  • Strong programming skills in Python, SQL, and experience with big data technologies like Hadoop, Spark, and/or NoSQL databases.
  • 1 year of experience with data-related Azure Cloud Services (Azure Data Factory, Azure Data Lake, Azure Functions) (Desirable).
  • Working experience in an Agile environment.

Our Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning.
  • Employee-Assistance-Program (EAP).

About Nielseniq

Nielseniq is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. We are committed to Diversity, Equity, and Inclusion and offer a dynamic, multinational, and virtual work environment.



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