Data Collection and Processing
- Collaborate with data engineers to identify and acquire relevant data from various sources including databases data warehouses APIs and external datasets.
- Clean transform and preprocess raw data to ensure accuracy consistency and compatibility for analysis.
Data Analysis and Interpretation
- Apply statistical techniques data mining algorithms and machine learning models to analyze large datasets and extract meaningful insights.
- Identify patterns trends and correlations in the data and provide actionable recommendations to improve business performance.
- Perform adhoc analysis and hypothesis testing to address specific business questions and challenges.
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