Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
1 year of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++).
1 year of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
Preferred qualifications:
4 years of experience in an investigative role.
Experience in extracting, sampling and visualization of large data sets, writing and maintaining ETLs which operate on a variety of structured and unstructured sources, delivering production level metrics, insights and actions.
Experience in project management and process optimization with data analytics.
Knowledge of abuse prevention, policy and regulatory systems.
Ability to take ownership of projects by setting and achieving milestones, synthesizing input from many stakeholders, managing multiple projects simultaneously, creating outputs appropriate to the audiences and driving final deliverables.
Excellent written and verbal communication skills.