Critical Task You Will Perform:

Collaborative Expertise: Proven ability to work closely with data scientists, data engineers, and data analysts to enhance GAI solutions and align data pipelines with advanced architecture designs.
Data Modeling and Pipeline Development: Experience in deploying logical and physical data models and building automated, scalable data pipelines that support efficient data flow and signal generation for GAI initiatives.
Proficiency in BI and Visualization Tools: Skilled in using business intelligence, data science, and visualization tools to create data products and provide actionable insights and recommendations to stakeholders.
Independent Work Style: Ability to work independently across various projects, managing multiple stakeholders and ensuring alignment with GAI objectives.
Software Development Best Practices: Familiarity with software development best practices, including code review, continuous integration and delivery (CI/CD), release management, and version control using GitLab, to maintain high-quality data engineering processes.
GAI x Automation Support: Provide support for creating Generative AI (GAI) and automation solutions, particularly in the context of chatbot development.

What Essential Skills You Will Need:

1-3 years Analytical experience conjugated with business acumen, preferably in the e-commerce, the Internet industry, or consulting.
Bachelor's/Master's degree in Statistics, Analytics, Mathematics, Engineering or other quantitative subjects
Ability to work with large and complex data sets including collect, organize & analyze large datasets with attention to detail and accuracy
Experienced in handling large datasets and maintaining complex Extract, Transform and Load (ETL) processes.
Advanced knowledge of analytical tools such as database querying (SQL, Presto, Hive), visualization and reporting tools (Tableau, PowerBI) and programming languages (Python, R)
Fast-learner, versatile, self-driven, detail-oriented and collaborative
Excellent communication skills to translate analytics specificities for all audiences
High ownership and driven to learn new skills and deliver results
- Full professional working proficiency in English [and in Local Language] is required