Description

You will use predictive analytics to solve business problems and drive data-driven decision making.

Responsibilities

• Pull data from various sources and execute complex analyses to identify trends.
• Present findings to stakeholders through clear data visualization and reporting.
• Apply machine learning algorithms and advanced statistics to business datasets.
• Use predictive modeling to address specific business challenges.

Required Skills

• 4+ years of hands-on experience in data handling and analysis.
• Proficiency in SQL for data extraction and manipulation.
• Strong programming skills in Python, R, or SAS.
• Experience with BI tools such as Tableau or Power BI.
• Advanced Excel skills for data modeling.
• Knowledge of multivariate statistics, econometric analysis, and decision trees.
• Practical application of machine learning algorithms.
• Experience with data visualization techniques.

Preferred Skills

• Background in Risk Analytics or Credit Risk Analytics.

Key Skills

Education

Any graduate