This repository contains the work completed during the Quantium Data Analytics Job Simulation. The focus was on Data Analytics and Commercial Insights for the data science team, emphasizing data preparation, customer analytics, and evidence-based decision-making.
- Data Preparation and Customer Analytics: Utilized transaction datasets to extract valuable insights and deliver data-driven commercial recommendations.
- Benchmark Stores Identification: Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making.
- Comprehensive Reporting: Leveraged acquired data analytics and insights to create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications.
- Analyze Transaction and Customer Data: Identified trends and inconsistencies in transaction and customer data to derive meaningful insights.
- Develop Metrics and Examine Sales Drivers: Developed metrics and examined sales drivers to gain insights into overall sales performance.
- Create Visualizations and Prepare Findings: Created visualizations and prepared findings to formulate a clear recommendation for the client's strategy.
- Define Metrics to Select Control Stores: Defined metrics to select control stores for comparative analysis.
- Analyze Trial Stores Against Controls: Analyzed trial stores against control stores to evaluate performance.
- Data Analysis and Visualization: Used R/Python for data analysis and visualization, summarizing findings and providing recommendations.
- Report Structuring: Used the Pyramid Principles framework for structuring the report.
- Final Report Submission: Submitted a report that incorporates data visualizations, key insights, and recommendations.