Candidates must have at least a Bachelors degree in Engineering, Data Analytics, or a related field, or equivalent as determined by a qualified credentials evaluation service. Must have at least two years of professional experience working in data analysis within the technology industry. Must have at least two years of experience using statistical software to analyze, manipulate, and process large datasets. Must have at least two years of experience formulating, testing, and validating data models to ensure accurate reporting of key outcomes and derivation of key insights. Must have at least two years of experience building data products, writing technical documentation, and recommending datadriven solutions to key stakeholders. Must be proficient in working with modern data stack tools such as dbt, Looker, Python, Snowflake, and SQL. Any suitable combination of education, training, or experience is acceptable.
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