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You will use your expertise in data science to enhance forecasting processes and support informed decision-making. Responsibilities are analyzing data for forecast accuracy, collaborating with stakeholders, implementing dashboards, ensuring technical viability, and training users on data insights.
Job Responsibility:
analyze data to identify trends, patterns, and seasonality, improving forecast accuracy
collaborate with business stakeholders to align forecasts with business needs and communicate actionable data insights
design and implement dashboards to evaluate the accuracy of sales drivers and historical performance
work closely with cross-functional teams to ensure the technical viability of business requirements
provide training to business users on interpreting data insights and maximizing the use of forecasting tools
Requirements:
Bachelor’s degree in data science, statistics, mathematics, computer science, or a similar field
proficiency in Python & SQL
in-depth knowledge of statistical methods and machine learning techniques, such as regression, clustering, and neural networks
experience with data visualization tools such as Power BI
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