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...