Analista Ssr. de Datos
Core
Extract, transform, and analyze operational and business data to generate actionable insights and support predictive modeling for environmental solutions.
Role type
Semi-senior data analyst (predictive analytics & BI)
Builds
Actionable data reports, dashboards, and basic-to-intermediate predictive models
Domain
Environmental services (water, waste, energy) + Data Science
Deliverable
production ML models | dashboards & analysis
Required skills
Python (Pandas, NumPy, Matplotlib/Seaborn), SQL (complex queries, window functions), Google Sheets (advanced), Applied Statistics
Preferred skills
Machine Learning (Scikit-learn, XGBoost), Power BI/Tableau/Looker, Git, Cloud environments (Google Colab, AWS, GCP, Azure), Time series forecasting
Technologies
Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, XGBoost, Google Sheets, Power BI, Tableau, Looker, Git, Google Colab, AWS, GCP, Azure
Responsibilities
Extract, clean, and consolidate data from multiple sources; Design and maintain SQL queries and Python scripts for automation; Build reports, dashboards, and visualizations for non-technical areas; Perform exploratory data analysis (EDA) to identify patterns and anomalies; Collaborate on developing, training, and evaluating basic-to-intermediate statistical or ML models; Document processes and results clearly; Partner with business areas to translate needs into data solutions; Contribute to data quality improvement and team best practices
Seniority
Semi-senior, hands-on IC