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...