* Company description: Bravos Energía is a Mexico-based company driving innovation in the electricity markets of Mexico and the United States, with a strong foundation in analytical rigor and regulatory insight.

Bravos is determined to establish itself as a company that contributes to the transition toward a sustainable energy future. At Bravos Energía, we aspire to be the company with the best technological tools to forecast and understand the complex world of the electricity markets.

We believe in building a smarter, cleaner energy future. That is why we combine data, code, and creativity to develop cutting-edge tools that solve real-world energy challenges.
* Job purpose: Consolidate and analyze Day-Ahead dispatch results to assess forecast quality and diagnose model issues.
* Duties and responsibilities: -Take the tools and processes that currently exist in the post-processing stage of the ERCOT market and adapt them to the new electricity markets (as SPP).
-Apply changes over existing post-processing processes, whether by providing more manageable information, making the processes more efficient, or adopting approaches that better fit the needs of the business.
-Develop and implement process improvements that allow for comparing the dispatch model's inputs and outputs with those considered official by the corresponding entities.
-Work closely with members of the Day-Ahead Model team so that any updates to the model results are handled appropriately by the post-processing stage.




-Propose ideas for tools that help identify situations of interest in the dispatch model's results and determine their root cause.
-Compare model results to actual market results; track causes of errors and propose improvements.
-Take charge of operations for the post-processing stage.
-Integrate data from different sources of information; this includes data cleaning, transformation, standardization, and even filtering of inconsistent data in order either to analyze it or use it as inputs for processes
* Requirements: -BSc/MS in Physics, Applied Math, Engineering, Economics, or a related field.
-3+ years of Python; 2+ years of Pandas and NumPy. Academic experience accepted.
-Able to read, understand, adapt, migrate, and improve existing Python processes.
-6+ months of SQL; PostgreSQL, Polars, NetworkX, visualization, and ML are a plus.
* Job conditions: * Benefits: - Health Insurance for the employee (Protegido de Gastos Médicos Mayores)
- Work Laptop
- Team building activities outside the office
- Additional compensation for meeting performance targets
* Selection process description: The selection process is carried out through Aira - a recruitment platform designed to improve your application experience.
To apply you just need to:
1. Apply for the job
2. Check your email
3. Enter Aira and answer the indicated questions and/or tests Then, if we consider your profile is a good match for our position, we will contact you by email (through Aira) to continue to the in-person stage.

📌 Day Ahead Market Data Analyst (Colonia Condesa)
🏢 Bravos Energía
📍 Colonia Condesa