Data Analyst Senior
Mexico City, 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 Job
Finding and create automating opportunities in our database production process, making relationships with numeric fields, and leading a team of developers in creating new solutions use cases, proof of concept and prototypes and beyond by exploring diverse data sets using tools such as Python.
Responsibilities:
- Process automation in our production database.
- Handle a large amount of data, unstructured and coming from different places.
- Lead a team in creating new cases, using tools like Python, innovating and creating new solutions using diverse data sets and cutting-edge technologies.
- 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 other teams to automate the implementation, testing, and monitoring of data systems.
Qualifications
About you
Passionate about innovation and technology, eager to continuously learn and adapt to changing technologies and tools Intellectual curiosity and persistence to find answers to questions out of the box thinker that always come up with different solutions than the average.
Requirements
- Experience 4+ years
- Power BI or Tableau (comfortable)
- Python (OOP, regex, numpy, pandas, scipy, ML libraries: scikit learn, keras)
- SQL (full)
- English Advance
- 1-2 years of experience in data engineering or DevOps:
- Experience with big data technologies like Hadoop, Spark (PySpark), and/or NoSQL databases
- Knowledge of DevOps tools such as Docker, Jenkins, and/or Kubernetes
- 1-2 years of hands-on experience with data related Azure Cloud Services (Azure Data Factory, Azure Data Lake, Azure Functions)
- Experience in Azure DataBricks with Spark/ Pyspark
Additional Information
What's in store for you?
- Comprehensive compensation package.
- Peer recognition programme 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
- Mentoring Programs
..... and more!!
REF26550B
About NIQ
NIQ, the world’s leading consumer intelligence company, reveals new pathways to growth for retailers and consumer goods manufacturers. With operations in more than 100 countries, NIQ delivers the most complete and clear understanding of consumer buying behavior through an advanced business intelligence platform with integrated predictive analytics. NIQ delivers the Full View.
NIQ was founded in 1923 and is an Advent International portfolio company. For more information, visit NIQ.com
Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook
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: Azure Big Data Business Intelligence Databricks Data pipelines DevOps Docker Engineering Hadoop Keras Kubernetes Machine Learning NoSQL NumPy OOP Pandas Pipelines Power BI PySpark Python Scikit-learn SciPy Spark SQL Tableau Testing
Perks/benefits: Career development Equity Insurance
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