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39665197158 - Senior Product Analyst

39665197158 - Senior Product Analyst

Activate TalentNG
15 days ago
Job type
  • Quick Apply
Job description

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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