Description
Job Summary:
We are seeking a Senior AI Data Analytics Analyst to work on Report & Budget automation, corporate and project data modeling and interpretation within the Mining sector.
Key Highlights:
1. Strategic and analytical engagement in data interpretation
2. Creation and automation of analytical models using AI
3. Development of dashboards and KPIs for projects
We seek a **Senior AI Data Analytics Analyst** with strong expertise in strategic and analytical Report & Budget automation, as well as data processing, modeling, and interpretation for corporate and project data in the **Mining sector.**
Responsibilities:
* **Design and automate analytical, financial, and operational models using multiple reports simultaneously via AI tools.**
* Analyze large volumes of data, transforming complex information into clear insights for leadership.
* Apply Artificial Intelligence and automation tools to optimize analytics, forecasting, simulations, and reporting.
* Develop, structure, and maintain corporate and project databases, ensuring data integrity, traceability, and information governance.
* Support FP&A processes, including budgeting, forecasting, cost control, variance analysis (actual vs. planned), and projections.
* Develop dashboards, executive reports, and performance indicators (KPIs) for project and organizational monitoring.
* Collaborate cross-functionally with Finance, Procurement, Engineering, Projects, Operations, and HR to ensure data alignment and consistency.
Ensure the quality, consistency, and reliability of information used in executive presentations and committee meetings.
*
Technical Requirements:
* **Advanced English proficiency required**
* **Experience with Artificial Intelligence, automation, and predictive modeling.**
* Bachelor’s degree in Engineering, Economics, Business Administration, Statistics, Data Science, Information Systems, or related fields.
* Solid experience in data analysis, analytical modeling, or FP&A.
* Advanced Excel (modeling, VBA, Power Query, Power Pivot or equivalents).
* Programming experience (Python, R, or equivalent languages) — Not mandatory.
* Experience with BI and data analytics tools.
Work model: 100% on-site
Location: Belo Horizonte – MG
Minimum Education: Bachelor's Degree
* Medical insurance
* Dental insurance
* Meal allowance
* Food allowance
* Life insurance