Jr Data Analyst For Operations (Python)
Mexico, Mexico
Applications have closed
NielsenIQ
We’re unrelenting in our pursuit of the most detailed data sets, measuring every consumer transaction to deliver the knowledge that every business needs to drive growth.Job Description
About this job:
In this role, you will become part of the Innovation team working in the space of automation, AL/ML, product design, testing and new product rollouts. As a member of the Innovation Solution team, you will work in a dynamic, multinational, and virtual environment collaborating with colleagues across NOCs and will be playing an active role as a part of the automation solution team.
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.
- Integrate basic to medium AI/ML practices into data solutions to enhance automation and decision-making processes.
- Debug and troubleshoot data pipeline and DevOps issues.
- Develop and maintain documentation for data systems.
- Keep up-to-date with the latest technologies and best practices in data engineering and DevOps.
Qualifications:
- Bachelor's degree in Computer Science, Information Technology or related field.
- 1 year of academic experience in Python.
- Programming skills in Python.
- Previous experience in a role where Python was a primary programming language is highly desirable.
- Solid understanding of version control systems, code repositories, and collaborative coding environments.
- Good to have experience working in an Agile environment
- Excellent problem-solving and analytical skills.
- Ability to work well in a fast-paced, collaborative environment.
- Openness and flexibility to change and being comfortable with a project with multiple unknowns
- Team player, natural networker
- Fluent in spoken and written English
- Openness to change and high level of adaptability
- Can-Do attitude, proactiveness
- Willingness to learn
We offer:
- Comprehensive compensation package
- Peer-to-peer recognition program
- Comprehensive health insurance
- Flexible work environment
- Hybrid work model
- Career development tailored to NielsenIQ roles
- Access to on-demand learning content and NIQ social communities
Additional Information
About NIQ
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™.
NIQ, is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com.
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Our commitment to Diversity, Equity, and Inclusion
NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.
We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide.
Learn more about how we are driving diversity and inclusion in everything we do by visiting the NielsenIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion/
NIQ or any of our subsidiaries will never ask you for money at any point of the recruitment or onboarding process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Data pipelines DevOps Engineering Machine Learning Pipelines Python Testing
Perks/benefits: Career development Equity Flex hours Insurance Startup environment
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