Data Analyst (Product & Customer Analytics)

Oowlish Technology · LATAM, Argentina, Brazil, MexicoRemotemid

In short

▸Analista de datos enfocado en producto y clientes usando SQL, Python y visualizaciones.
▸Días típicos: analizar comportamiento de usuarios, crear dashboards y colaborar con equipos de producto y marketing.
▸Destacado: trabajo remoto con clientes internacionales y desarrollo profesional en proyectos globales.

Strong written and verbal English communication skills.

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What they ask for

✓3+ años en análisis de datos o roles similares.
✓Experiencia sólida en SQL con grandes conjuntos de datos.
✓Conocimiento en Python o R para análisis estadístico.
✓Experiencia en creación de dashboards y visualizaciones.
✓Habilidades avanzadas de comunicación en inglés (escrita y verbal).
✓Experiencia con Google Analytics (GA4) y análisis de clientes/productos.

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SQLPythonRGoogle Analytics (GA4)BigQueryTableauLookerPower BIA/B testingHadoop

Who should you write to at Oowlish Technology?

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Join Our Team Oowlish, 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 about 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 skills with the ability to communicate complex findings clearly to both technical and non-technical stakeholders. Responsibilities: 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 with Product, Marketing, Engineering, and Business teams to support strategic initiatives. Translate complex analyses into clear, actionable recommendations for stakeholders. Support forecasting, segmentation, and customer behavior analysis. Contribute to long-term analytics projects from planning through execution. Continuously improve reporting processes, data quality, and analytics methodologies. Requirements: 3+ years of professional experience in Data Analytics, Business Analytics, or similar roles. Strong SQL skills and experience working with large datasets. Experience with Python, R, or another statistical programming language. Experience building dashboards and data visualizations. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Experience collaborating with cross-functional teams. Strong written and verbal English communication skills. Must have: Experience with Google Analytics (GA4). Strong SQL experience. Experience querying large datasets from multiple sources. Professional experience with Python or R. Experience building dashboards and reports. Experience performing statistical analysis. Strong understanding of customer or product analytics. Experience presenting insights to stakeholders. Strong data visualization skills. Experience cleaning, transforming, and validating data. Strong analytical thinking and business acumen. Nice to have: Experience with BigQuery. Experience with Tableau, Looker, or Power BI. Experience with predictive analytics or customer segmentation. Experience with A/B testing. Experience working alongside Data Science teams. Retail or eCommerce analytics experience. Experience with Hadoop or Hive. Master's degree in a quantitative field. Compensation Additional Information Benefits & Perks: Home office; Competitive compensation based on experience; Career plans to allow for extensive growth in the company; International Projects; Oowlish English Program (Technical and Conversati

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