Senior Product/Marketing Analyst

Posted 21 days agoViewed
South AfricaFull-TimeE-commerce, Subscription
Company:The Global Talent Co.
Location:South Africa
Languages:English
Seniority level:Senior, 7+ years
Experience:7+ years
Skills:
AWSPythonSQLAWS EKSData AnalysisGitTableauProduct AnalyticsAirflowData engineeringA/B testing
Requirements:
Bachelor’s degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science); Master’s preferred. 7+ years of experience in product and/or marketing analytics with measurable business impact. Strong understanding of statistical concepts (hypothesis testing, regression analysis, time series analysis). Proficiency in SQL and experience working with large datasets. Experience in designing, executing, and interpreting experiments (A/B, multivariate) in product or marketing contexts. Strong problem-solving, analytical, and commercial acumen skills. Excellent communication and presentation skills to translate complex data insights for non-technical stakeholders. Experience with e-commerce businesses; experience with subscription-based models is a plus. Technical proficiency with Python (Anaconda, Poetry/Pipenv or piplock). Version Control: Git, GitHub, GitHub Actions Infrastructure: AWS (S3, ECR, EKS) Reporting & Visualization: Tableau, Streamlit Workflow Orchestration: Prefect or Airflow
Responsibilities:
Analyze product usage, user behavior, and marketing campaign performance with a focus on business impact, growth, and revenue optimization. Collaborate with product managers and marketers to define commercial metrics, design and execute A/B or multivariate experiments, and translate results into actionable business strategies. Develop and maintain dashboards and reports to track KPIs and provide insights that inform decision-making at the strategic level. Build and deploy data pipelines and models to automate reporting and analysis processes. Proactively identify and investigate data anomalies or trends affecting product and marketing outcomes. Present findings clearly to stakeholders, translating complex data into business recommendations. Contribute to the development and enhancement of data infrastructure and analytical tools in collaboration with the product analytics team.
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