
Retail Data Analyst
4 days ago
We seek an experienced data analyst to conduct in-depth analysis of trends, patterns, and anomalies in demand forecasting for the retail industry.
Leverage pre-trained models by incorporating a nuanced understanding of data points to improve model outcomes based on data insights.
Communicate results effectively to stakeholders, ensuring clarity and relevance.
Develop actionable insights to guide business decisions, focusing on accurate forecasting outcomes.
Collaborate with cross-functional teams to ensure forecasting outputs align with business objectives and provide real-world value.
Identify opportunities to enhance model performance through better data usage and fine-tuning.
Required Skills & Qualifications3-6 years of experience in data science or a related field, specifically in demand forecasting for retail.
Strong skills in data analysis, visualization, and working with pre-trained ML models.
Proficiency in Python and SQL is preferred.
A strong orientation towards solving business problems rather than pure machine learning algorithms.
Effective communication of insights and forecast results to non-technical stakeholders.
Ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
Attention to detail for accuracy in forecasting and relevance of insights.
Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field
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