Data Analyst (Product & Customer Analytics)

**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. ### Key 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: - 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 Google Analytics (GA4). - 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. **Benefits & Perks:** Home office; Competitive compensation based on experience; Career plans to allow for extensive growth in the company; Inte…