Data Engineer

Build propensity model to select leads at partner’s site

Track portfolio performance and work with marketing team to find innovative ways to improve portfolio performance

Document processes, code, and model decisions for transparency and reproducibility

Build and maintain reports / dashboards (Power BI and Power Pivot)

Bachelor’s or Master’s degree in computer science, Engineering, or related field

1-3 years of hands-on experience in data analyst / data science

Strong proficiency in Python and SQL for data manipulation and propensity model development

Proficiency in Power BI

Excellent problem-solving and communication skills

Good command in English