Data Analyst PL

Pipa Studios, a leader in social bingo in South America, is seeking a Data Analyst PL for their São Paulo office. The role involves structuring and cleaning databases, developing dashboards, creating efficient SQL queries, supporting business areas with KPIs, conducting exploratory analyses, and automating data processes. The ideal candidate is committed, innovative, and empathetic, contributing to the company's rapid growth.

Must Have

• Previous experience as a Data Analyst.
• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
• Experience with data visualization tools (Power BI, Tableau, Metabase, etc.).
• Knowledge of data analysis languages (Python, R or similar).
• Good understanding of applied statistics and business metrics.
• Ability to translate complex data into clear and actionable information.

Good to Have

• Experience in predictive modeling and machine learning.
• Knowledge of Big Data (Spark, Hadoop) or cloud (AWS, GCP, Azure).
• Experience with ETL/ELT and tools like Airflow, dbt or similar.

Who are we?

Pipa Studios is a leader in the Social Bingo segment in South America and has been developing mobile games since 2012. Our base is in São Paulo, Brazil, and we operate globally, with a presence in the markets of Mexico, Spain, Italy, France, and the USA.

Our game portfolio is diverse and includes the best-seller Praia Bingo. We are one of the largest gaming companies in Brazil and continue to grow with new products and ideas. We achieve this success by being a group of agile, creative, restless, innovative, and talented people with grand objectives.

Profile

We are growing rapidly and will spare no effort to go even further. We are looking for a committed professional aligned with the company's objectives. Therefore, self-motivation, an innovative spirit, initiative, and empathy are fundamental qualities.

Requirements

• Structure, clean, and organize databases.
• Develop dashboards and reports using visualization tools.
• Create efficient SQL queries for analysis and information extraction.
• Support business areas in defining KPIs and performance indicators.
• Conduct exploratory analyses and identify patterns, trends, and opportunities.
• Automate data collection, transformation, and availability processes.
• Colaborate with engineering and product teams to improve data governance and architecture.

Responsibilities

• Previous experience as a Data Analyst.
• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
• Experience with data visualization tools (Power BI, Tableau, Metabase, etc.).
• Knowledge of data analysis languages (Python, R or similar).
• Good understanding of applied statistics and business metrics.
• Ability to translate complex data into clear and actionable information.

Differentials

• Experience in predictive modeling and machine learning.
• Knowledge of Big Data (Spark, Hadoop) or cloud (AWS, GCP, Azure).
• Experience with ETL/ELT and tools like Airflow, dbt or similar.