Key Responsibilities
Perform deep data analysis to identify trends, anomalies, variances, and forecasting improvement opportunities.
Support senior data scientists with model inputs, backtesting, validation, and performance analysis.
Monitor forecast accuracy, bias, and overall health of forecasting solutions.
Analyze data quality issues and understand business drivers.
Build analytical datasets and reports to support forecasting and supply chain planning.
Develop dashboards and KPI reporting using Power BI or similar analytics platforms.
Collaborate with business teams and data scientists to improve decision-making.
Automate recurring analysis using SQL and Python.
Ensure strong data governance and reliable data availability.
Preferred Qualifications
5+ years of experience in data analytics, forecasting analytics, or data science support roles.
Strong expertise in SQL, Python, Excel, and data analysis techniques.
Experience supporting forecasting models and backtesting processes.
Understanding of statistics, trends, seasonality, and variance analysis.
Experience with Power BI or similar analytics platforms preferred.
Azure experience is a strong plus.
Familiarity with Microsoft Fabric is a major plus.
Supply chain experience preferred.
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