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Data Analyst (Product & Customer Analytics)

CompraTica Empleos

EMP:Marketing
Brazil
Tiempo Completo
Remoto
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Descripción

Join Our TeamOowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions.

Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs.

We're looking for candidates who are passionate.

Acerca de

technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.About the Role:  We are looking for a curious and analytical Data Analyst to help transform complex data into actionable insights that drive product, customer, and business decisions

In this role, you will work closely with cross-functional teams to analyze customer behavior, product performance, and business trends while developing dashboards, reports, and data-driven recommendations.

You will leverage modern analytics tools and statistical techniques to uncover opportunities, improve decision-making, and support strategic initiatives.

The ideal candidate combines strong SQL and statistical analysis.

Habilidades

with the ability to communicate complex findings clearly to both technical and non-technical stakeholders

Responsabilidades

:Analyze customer behavior, product performance, and business trends using large datasets.Build dashboards, reports, and visualizations that support business decision-making.Develop data models and queries to extract meaningful insights from multiple data sources.Identify patterns, trends, and opportunities using statistical analysis and exploratory data techniques.Collaborate ...

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