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Data-Driven Business Strategist
1 week ago
About Our Team:
The Global Talent Co. is a dynamic and innovative team dedicated to bridging the gap between leading global tech companies and talented individuals worldwide.
We provide opportunities to work with forward-thinking technology firms, offering stable employment, competitive compensation, career growth, and access to a community of like-minded professionals.
As a fast-growing data-driven organization, we focus on optimizing product performance and marketing effectiveness through advanced analytics. Our expertise lies in e-commerce and subscription-based business models, leveraging cutting-edge data science tools for strategic decision-making.
The Role:
As a Senior Product/Marketing Analyst at The Global Talent Co., you will play a vital role in driving data-informed decisions across product and marketing initiatives. You will analyze complex datasets, generate actionable insights, and collaborate with cross-functional teams to optimize performance and business growth.
Key Responsibilities:
- Drive product usage, user behavior, and marketing campaign performance analysis to identify trends and opportunities for improvement.
- Design and implement 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.
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:
- 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)
- MLOps: SpiceRack (limited deep learning support)
- Hyperparameter Optimization: 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.
This is an exciting opportunity to join a rapidly growing company dedicated to transforming the future of work.