<div class="content-intro"><div>Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.</div> <div> </div> <div>Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.</div> <div> </div> <div><strong>Our vision: </strong>A world where everyone is free to focus on their most purposeful work, together. </div> <div> </div></div><h3><strong>About the Role:</strong></h3> <p>You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. We're looking for a <strong>Product Analyst</strong> to help us better understand how customers use Wrike, identify product opportunities, and support better product decisions with data.</p> <p>You’ll work closely with Product, Design, Engineering, and UXR throughout the product development lifecycle — from exploring customer problems and evaluating opportunities to defining success metrics and measuring the impact of released features.</p> <p>This role goes beyond reporting numbers. We expect Product Analysts to understand <strong>why something is happening, why it matters, and what we should consider doing next</strong> — turning data into clear insights and actionable recommendations.</p> <h3><strong>Our Work Style:</strong></h3> <ul> <li><strong>Tech Stack:</strong> SQL (GBQ), Python, Tableau, Amplitude, Airflow </li> <li><strong>Work Mode:</strong> Hybrid – 2 days in office</li> </ul> <h3><strong>Your Impact: </strong></h3> <ol> <li><strong>Discover and Evaluate Product Opportunities</strong><strong><br></strong> Explore customer behavior and product usage, size opportunities, investigate root causes, and turn findings into actionable insights and recommendations.</li> <li><strong>Assess and Measure Product Impact</strong><strong><br></strong> Estimate the potential impact of product initiatives, define meaningful success metrics and baselines, and evaluate whether released changes deliver the expected customer and business value.</li> <li><strong>Run Experiments and Product Research</strong><strong><br></strong> Design and analyze experiments and quantitative research, selecting appropriate methods and data sources and clearly communicating limitations and confidence in the results.</li> <li><strong>Turn Data into Product Insights</strong><strong><br></strong> Investigate adoption, engagement, conversion, and changes in user behavior. Go beyond what happened to explain why it matters and what teams should consider doing next.</li> <li><strong>Build Analytics for Scale</strong><strong><br></strong> Create dashboards, reusable analyses, documentation, and automation that make recurring questions easier to answer and help teams use data more effectively.</li> <li><strong>Partner with Product Teams</strong><strong><br></strong> Bring an analytical perspective to product discussions, communicate findings clearly, challenge assumptions when needed, and help teams make evidence-informed decisions.</li> <li><strong>Use AI to Work Smarter</strong><strong><br></strong> Use AI responsibly to accelerate analytical work and improve analytical workflows.</li> </ol> <h3><strong>Your Qualifications: </strong></h3> <ul> <li>2+ years of experience in product, data, business analytics, or a similar analytical role</li> <li>Strong SQL skills and experience with analytical databases; Google BigQuery is a plus</li> <li>Experience with BI tools (Looker / Tableau) </li> <li>Good understanding of statistics, experimentation, and A/B testing</li> <li>Ability to independently drive analytical projects from understanding the question to delivering insights and recommendations</li> <li>Strong problem-solving skills and ability to connect data to customer, product, and business context</li> <li>Ability to validate data and assumptions and recognize limitations in evidence</li> <li>Ability to balance analytical depth, speed, and business needs</li> <li>Strong communication and collaboration skills</li> <li>Experience using AI tools to improve analytical workflows and productivity, with a critical approach to validating outputs.</li> <li>Upper-Intermediate or better English</li> </ul> <h3><strong>Standout Qualities:</strong></h3> <ul> <li>Python skills for data analysis</li> <li>Experience with Amplitude</li> <li>Experience with advanced analytical methods such as regression, clustering, or causal inference</li> <li>Experience with product discovery or opportunity assessment</li> <li>Experience building AI-enabled analytical workflows, automations, or reusable AI solutions.</li> </ul> <h3><s