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Senior Product/Marketing Analyst

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 7+ years

📍 Location: South Africa

🔍 Industry: E-commerce, Subscription-based business models

🏢 Company: The Global Talent Co.

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: AWSPythonSQLData AnalysisGitMachine LearningMLFlowProduct ManagementTableauProduct AnalyticsData sciencePandasCommunication SkillsAnalytical SkillsRESTful APIsReportingData visualizationMarketingData modelingA/B testing

Requirements:
  • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science). Master's degree preferred.
  • 7+ years 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.
  • Experience with: Git, GitHub, GitHub Actions, AWS (S3, ECR, EKS), Databricks, MLflow, Python, Anaconda, Poetry/Pipenv (or piplock), Tableau, Streamlit, GitHub Actions, Prefect (or Airflow), SpiceRack (limited deep learning support), Ax, Optuna.
  • Excellent communication and presentation skills to translate complex data insights for non-technical audiences.
  • Strong problem-solving and analytical skills.
  • Experience with e-commerce businesses.
  • Experience with subscription-based business models is a plus.
Responsibilities:
  • Analyze product usage, user behavior, and marketing campaign performance to identify trends and opportunities for improvement.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide actionable insights.
  • 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.
  • Identify and investigate data anomalies and discrepancies proactively.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Contribute to the development and enhancement of data infrastructure and analytical tools in collaboration with the product analytics team.
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