Data Analyst (Product & Customer Analytics)

Location: LATAM <div><b>Join Our Team</b></div><div><br></div><div>Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.</div><div><br></div><div>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.</div><div><br></div><div>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.</div><div><br></div><div><strong>About the Role:</strong></div><div> </div><div> <p>We are looking for a curious and analytical <strong>Data Analyst</strong> to help transform complex data into actionable insights that drive product, customer, and business decisions.</p> <p>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.</p> <p>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.</p> </div><h2>Key Responsibilities:</h2><li>Analyze customer behavior, product performance, and business trends using large datasets.</li><li>Build dashboards, reports, and visualizations that support business decision-making.</li><li>Develop data models and queries to extract meaningful insights from multiple data sources.</li><li>Identify patterns, trends, and opportunities using statistical analysis and exploratory data techniques.</li><li>Collaborate with Product, Marketing, Engineering, and Business teams to support strategic initiatives.</li><li>Translate complex analyses into clear, actionable recommendations for stakeholders.</li><li>Support forecasting, segmentation, and customer behavior analysis.</li><li>Contribute to long-term analytics projects from planning through execution.</li><li>Continuously improve reporting processes, data quality, and analytics methodologies.</li><h2>Requirements:</h2><li>3+ years of professional experience in Data Analytics, Business Analytics, or similar roles.</li><li>Strong SQL skills and experience working with large datasets.</li><li>Experience with Python, R, or another statistical programming language.</li><li>Experience building dashboards and data visualizations.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Experience collaborating with cross-functional teams.</li><li>Strong written and verbal English communication skills.</li><h2>Must have:</h2><div> <li>Strong SQL experience.</li> <li>Experience querying large datasets from multiple sources.</li> <li>Professional experience with Python or R.</li> <li>Experience building dashboards and reports.</li> <li>Experience performing statistical analysis.</li> <li>Strong understanding of customer or product analytics.</li> <li>Experience presenting insights to stakeholders.</li> <li>Strong data visualization skills.</li> <li>Experience cleaning, transforming, and validating data.</li> <li>Strong analytical thinking and business acumen.</li> </div><h2>Nice to have:</h2><div> <li>Experience with Google Analytics (GA4).</li> <li>Experience with BigQuery.</li> <li>Experience with Tableau, Looker, or Power BI.</li> <li>Experience with predictive analytics or customer segmentation.</li> <li>Experience with A/B testing.</li> <li>Experience working alongside Data Science teams.</li> <li>Retail or eCommerce analytics experience.</li> <li>Experience with Hadoop or Hive.</li> <li>Master's degree in a quantitative field.</li> </div><div><br></div><div><b>Benefits &amp; Perks:</b></div><div><br></div><div>Home office;</div><div>Competitive compensation based on experience;</div><div>Career plans to allow for extensive growth in the company;</div><div>International Projects;</div><div>Oowlish English Program (Technical and Conversational);</div><div>Oowlish Fitness with Total Pass;</div><div>Games and Competitions;</div><div><br></div><div><br></div><div><b>You can also apply here:</b></div><div><br></div><div>Website: [Link Protected] [Link Protected] [Link Protected] GDPR Compliance: Sourced via verified public channels under Legitimate Interests (Art. 6(1)(f) GDPR). 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