39665197158 - Senior Product Analyst

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.