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 work cross functionally with technical and business stakeholders with strong listening, critical thinking, and problem solving skills.
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.