About the Role
Analytics Data Engineer – Treasury/Finance
Duration:
6 months
Extension Potential:
No
FTE Conversion:
No
Work Hours:
9:00 AM – 5:00 PM
Location:
Remote or Hybrid (must be able to visit the office for technical issues or special occasions)
Key Responsibilities
Data Collection & Preparation:
Gather data from multiple sources, clean and preprocess to ensure accuracy and consistency.
Statistical Analysis:
Apply statistical modeling techniques (hypothesis testing, regression, clustering) to identify patterns, trends, and relationships.
Programming & Analysis:
Use Python, SQL, or R to analyze data and uncover insights that address business challenges such as customer behavior, operational efficiency, and cost optimization.
Visualization & Reporting:
Create dashboards and visualizations using Tableau, Power BI, or matplotlib...
Duration:
6 months
Extension Potential:
No
FTE Conversion:
No
Work Hours:
9:00 AM – 5:00 PM
Location:
Remote or Hybrid (must be able to visit the office for technical issues or special occasions)
Key Responsibilities
Data Collection & Preparation:
Gather data from multiple sources, clean and preprocess to ensure accuracy and consistency.
Statistical Analysis:
Apply statistical modeling techniques (hypothesis testing, regression, clustering) to identify patterns, trends, and relationships.
Programming & Analysis:
Use Python, SQL, or R to analyze data and uncover insights that address business challenges such as customer behavior, operational efficiency, and cost optimization.
Visualization & Reporting:
Create dashboards and visualizations using Tableau, Power BI, or matplotlib...
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