Analytics Engineer

Day-to-Day: Breakdown ~60%: Data discovery, profiling, research, and business alignment. ~20%: Dashboarding and data visualization. ~10%: Testing, audits, and data quality controls. ~10%: Administrative work and coordination.

Skills and Requirements: Bachelors degree 3-5 years of experience Ability to write queries in scratch in SQL Python Understanding of how different business functions, such as marketing, infrastructure, credit, product, and data teams, use data in their day-to-day work. This person should understand the core concepts within each business domain, the data those teams rely on, why that data exists, and how it can be used to support different business needs. For example, in marketing, this could include campaigns, customer segmentation, testing, and measurement. Experience utilizing AI Experience working with marketing teams Experience working with Customer Data Platforms (CDI/CDP) or identity resolution vendors Familiarity with identity stitching and customer-level data unification Snowflake database AWSWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.