39665197158 - Senior Product Analyst

<p><strong>Position: </strong>Senior Product/Marketing Analyst<br><strong>Job Type: </strong>Full-Time - 100% Remote<br><strong>Working hours:</strong> &nbsp;8 am - 5 pm EST, Flexible<br></p><p><strong>ABOUT THE ROLE</strong><br>We are seeking a Senior Product/Marketing Analyst. This role is crucial for driving data-informed decisions across our product and marketing efforts for our brands. You will be responsible for analyzing complex datasets, generating actionable insights, and collaborating with cross-functional teams to improve product performance, marketing campaign effectiveness, and overall business growth. The ideal candidate is a data-driven storyteller with a strong understanding of product and marketing analytics, and business acumen, coupled with expertise in a modern data science tech stack.</p><p></p><p><strong>DUTIES &amp; RESPONSIBILITIES</strong></p><ul> <li>Analyze product usage, user behavior, and marketing campaign performance to identify trends, patterns, and opportunities for improvement.</li> <li>&nbsp;Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide actionable insights to product and marketing teams.</li> <li>Collaborate with product managers and marketers to define metrics, design experiments, and interpret results.</li> <li>Build and deploy data pipelines and models to automate reporting and analysis processes.</li> <li>&nbsp;Proactively identify and investigate data anomalies and discrepancies.</li> <li>&nbsp;Present findings and recommendations to stakeholders in a clear and concise manner.</li> <li>Contribute to the development and improvement of our data infrastructure and analytical tools together with the FTE product analytics team.<br> </li> </ul><p><strong>QUALIFICATIONS</strong></p><ul> <li>Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science).</li> <li>At least 5 YOE but preferably 7+ of experience in product and/or marketing analytics.</li> <li>Strong understanding of statistical concepts (e.g., hypothesis testing, regression analysis, time series analysis).</li> <li>Proficiency in SQL and experience working with large datasets.</li> <li>Strong analytical and problem-solving skills.</li> <li>Experience in e-commerce businesses.<br> </li> </ul><p><strong>Experience with the following technologies:</strong></p><ul> <li>Version Control: Git, GitHub, GitHub Actions</li> <li>Infrastructure: AWS (S3, ECR, EKS)</li> <li>Data Science: Databricks, MLflow</li> <li>Development: Python, Anaconda, Poetry/Pipenv (or piplock)</li> <li>Reporting &amp; Visualization: Tableau, Streamlit</li> <li>Workflow Orchestration: GitHub Actions, Prefect (or Airflow)<br> </li> </ul><p><strong>PREFERRED</strong></p><ul> <li>Master’s degree in a related field.</li> <li>Experience with subscription-based business models.</li> <li>Knowledge of MLOps tools (e.g., SpiceRack) and hyperparameter optimization (e.g., Ax, Optuna).</li> <li>Excellent communication and presentation skills, with the ability to explain complex data insights to non-technical audiences.</li> </ul>