Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience.
3 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g. Python, R, Java, C++).
3 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role.
Preferred qualifications:
Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.).
Experience in data analysis, with the ability to solve problems in complex, fast-moving, and ambiguous business environments.
Knowledge of data warehousing concepts, including technical architectures, infrastructure components, ETL and reporting/analytics tools and environments.
Ability to effectively communicate analysis and recommendations across a wide range of non-technical audiences.
Ability to prioritize requests and work well in an environment with competing demands from multiple stakeholders.
Ability to work cross-functionally with technical and business stakeholders with excellent listening, critical thinking, and problem-solving skills.