39665197158 - Senior Product Analyst job opportunity at Activate Talent.

Home Jobs In Argentina Tag: Job 39665197158 - Senior Product Analyst position at Activate Talent


Date2025-12-03T06:07:28.633Z bot
Activate Talent 39665197158 - Senior Product Analyst
Experience: General
Pattern: Full-time
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Argentina

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

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