Data Driven Risk Identification & Remediation Strategies:
Data Transformation & Automation:
Collaboration with Stakeholders:
Required Skills/Knowledge
Bachelor's degree in Engineering, Computer science, Data science and even accounts background can be consider with experience with minimum 3+ years of experience writing and optimizing SQL/SAS queries in a business environment and in lieu of a degree 5+ years of experience writing and optimizing SQL/SAS queries in a business environment.
Knowledge of data warehouse technical architecture, ETL and analytic tools in extracting unstructured and structured data
Experience in building algorithms and coding proficiency in Python is required
Experience with visualization software Tableau or Power BI
Experience managing, moving, and manipulating data from multiple sources
Familiar with segmentation techniques such as decision trees or k-means clustering
Familiar with model development techniques such as logistic regression, random forest, or gradient boosting
Ability to provide analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations, and presenting to client/product team
Ability to clearly explain technical and analytical information (verbally, written, and in presentation form) and summarize for key stakeholders
Outstanding communications, relationship building, influencing, and collaboration skills
Strong project management, communications, multi-tasking, ability to work independently
Desired Skills/Knowledge
Ability to drive change and transformation
Experience working within Internal Audit and knowledge of core Audit functions and responsibilities or is interested in learning risk and controls and audit concepts
Ability to build strong, trusting relationships with senior business stakeholders.
Possess effective project management skills, make sound decisions, and can pivot on prioritized projects
Experience with Tableau or Power BI
Experience with the Microsoft Power Platform (Power BI, Power Automate, & Power Apps)
Eligibility Criteria
Bachelor's degree in Engineering, Computer science, Data science and even accounts background can be consider with experience with minimum 3+ years of experience writing and optimizing SQL/SAS queries in a business environment and in lieu of a degree 5+ years of experience writing and optimizing SQL/SAS queries in a business environment.