About the role

Data Analyst generating insights for long-term decision-making related to Generative AI initiatives. Connecting data to Generative AI models at Grupo Autoglass.

Responsibilities

Organize and prepare structured and unstructured data (text, image, and audio) and create training, validation, and test datasets for AI applications;
Connect business data to generative models (via APIs, RAG), enabling automations and insights;
Create and maintain monitoring dashboards and improve efficiency of Generative AI solutions;
Define, track, and analyze success metrics (NPS, latency, cost per call, token and model optimization);
Translate business requirements into actionable AI use cases, assessing feasibility, risks, and impact;
Actively collaborate with data, product, and development teams, acting as a bridge between technical and strategic perspectives;
Promote the ethical, safe, and responsible use of Generative AI, with attention to bias, compliance, and privacy. Support the implementation of best practices and the evaluation of source consistency and reliability;
Document and maintain datasets, metadata, indicators, and dashboards in the data catalog, promoting reuse and governance;
Identify and implement improvement opportunities and record ideas and kaizens.

Bachelor's degree completed or in progress in Engineering, Statistics, Mathematics, Computer Science, Information Systems, Systems Analysis and Development, Business Administration, or related fields;
Proficiency in SQL for data manipulation and querying;
Knowledge of descriptive statistics, hypothesis testing, trend and outlier analysis, analysis of variance (ANOVA), and simple linear regression;
Strong skills in data visualization tools and techniques such as Tableau or Power BI, including drill-down/drill-up, calculated fields, composition and distribution, etc.;
Experience with programming languages (Python or R) and handling AI-oriented data formats;
Familiarity with ELT/ETL processes and data architectures (Data Warehouses and Data Lakehouse);
Basic knowledge of prompt engineering techniques, RAG pipelines, and cloud platforms;
Familiarity with low-code and no-code tools for building intelligent agents;
Knowledge of LLM model APIs (OpenAI, Anthropic, Azure OpenAI, etc.);
Knowledge of AI evaluation metrics.
Nice to have:
Practical experience implementing process automations;
Hands-on experience in data preparation and dashboard creation;
Certifications in Data, BI, AI, or Cloud.

Health plan with no monthly fee for you and your dependents;
Optional dental plan extendable to dependents;
Psychological counseling;
Pregnancy program with extended maternity leave;
Wellhub (discounts at gyms);
Commuting allowance (transportation voucher);
Meal or food allowance. At Christmas, we send you a generously filled gift basket;
Opportunity to work and exchange knowledge daily with an amazing, welcoming team;
Allya: App with discounts at various everyday establishments and services;
We celebrate 'Grupo Autoglass Employee Day' by sending a small gift to all employees;
Opportunities for professional growth;
Culture of feedback and development;
Access to the Grupo Autoglass Corporate Education Portal with over 200 free courses that provide certificates;
Galena: Discounts on over 150,000 courses for employees;
A highly collaborative and challenging work environment. At Grupo Autoglass you will find growth opportunities and a strong culture of innovation and continuous improvement!
Breakfast and afternoon snacks;
Relax time: Relaxing chair massage at your workstation;
On-site amenities at headquarters including a gamer room, café, barbershop, beauty salon, and more!
Home office allowance;
We provide a computer and all necessary equipment for your home office;
If necessary, we supply home office furniture.