Develop, maintain and improve dashboards, ensuring clarity, consistency and focus on critical business indicators.
Use SQL extensively for data extraction, joining, cleaning, validation and analysis in relational databases and data warehouses.
Monitor revenue, conversion, engagement and operational metrics, identifying anomalies, significant deviations and optimization opportunities through alerts, triggers and automated routines.
Perform descriptive, predictive and prescriptive analyses to understand customer behavior, campaigns, products and operational performance.
Develop segmentations, predictive models (churn, propensity, LTV and risk), A/B tests and statistical analyses to support decision-making.
Support the dissemination of data best practices, contributing to the advancement of the organization’s analytical maturity.

Bachelor's degree completed in Computer Engineering, Information Technology, Data Science, Statistics, Economics or related fields.
Experience in data analysis, data science or related activities.
Proficiency in SQL for queries, joins, aggregations, exploratory analysis and handling large volumes of data.
Experience with Power BI, including basic data modeling, creating measures, DAX and building analytical dashboards.
Knowledge of ETL/ELT, dimensional modeling (star schema) and data ingestion.
Knowledge of GCP (BigQuery and Cloud Storage) or other cloud platforms such as AWS and Azure.
Practical knowledge of Python (pandas, numpy) or R for data analysis, manipulation and exploration.
Experience with machine learning libraries such as scikit-learn in academic, personal or professional projects.
Familiarity with A/B testing, predictive models, customer segmentation (clustering) or scoring models.
Analytical ability and statistical insight to interpret results, test hypotheses, identify patterns and track business metrics.
Ability to communicate insights and analyses clearly to both technical and non-technical audiences.
Basic knowledge of Git for version control and collaboration on projects.

Data Scientist, Junior

Key skills