Overview
Unlock growth potential through actionable insights. As a data expert, lead analytics initiatives and build predictive models to drive performance across ecommerce and digital marketing channels.
Responsibilities
- Develop and deploy advanced predictive models (forecasting, segmentation, time-series).
- Manage end-to-end data pipelines using Spark, Python, and Airflow.
- Work with cloud-based data architectures and BigQuery tools.
- Design and implement dashboards and visual reports using Looker Studio, Tableau, or Power BI.
- Translate complex data into clear business insights for stakeholders.
In this role, you will work closely with cross-functional teams including ecommerce, CRM, and marketing to inform data-driven decision-making. Your expertise in data science and analytics will drive strategic planning and contribute to the company's success.
Requirements
3–5 years of experience in Data Science / Predictive Analytics, ideally in ecommerce or digital environments.Proficiency in Python (Pandas, scikit-learn, NumPy) and SQL (BigQuery a plus).Hands-on experience with Spark (Python / Scala), Airflow, and Git.Strong understanding of cloud platforms.Ability to communicate complex findings to both technical and non-technical audiences.#J-18808-Ljbffr