Mattel is seeking a Consumer Data Analyst to unlock the value of consumer and ecommerce data to drive business growth. The Analyst will report to the Manager, Consumer Data & Advanced Analytics and will be based in El Segundo, California. What you’ll do: apply descriptive statistical measures; perform analyses of consumer behavior (new vs returning customers, cohorts, journeys); propose quantitative approaches and conduct analyses; and, with guidance, apply data cleaning, linear and logistic regression, segmentation, churn/propensity modeling, and lifetime value analysis. Technology responsibilities include working with relational databases (MySQL, Redshift, BigQuery) and SQL; using Python or R to clean, explore, and transform data, perform statistical analyses, and develop clean, reproducible code; and designing action-oriented visualizations and dashboards (Tableau, Looker, Power BI, Sisense) along with programmatic visualizations (matplotlib, ggplot). Business knowledge requirements include understanding ecommerce KPIs such as conversion, demand, net sales, AOV, retention rate, and RFM. The ideal candidate will communicate findings clearly to business stakeholders and document assumptions, methodology, and results. Qualifications: bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline; 2+ years in analytics, BI, data science, or a related field; prior ecommerce/digital analytics/retail experience preferred. Compensation: USD 76,000 – USD 90,000 per year. Location: El Segundo, California.

Mattel is seeking a Consumer Data Analyst to unlock the value of consumer and ecommerce data to drive business growth. The Analyst will report to the Manager, Consumer Data & Advanced Analytics and will be based in El Segundo, California. What you’ll do: apply descriptive statistical measures; perform analyses of consumer behavior (new vs returning customers, cohorts, journeys); propose quantitative approaches and conduct analyses; and, with guidance, apply data cleaning, linear and logistic regression, segmentation, churn/propensity modeling, and lifetime value analysis. Technology responsibilities include working with relational databases (MySQL, Redshift, BigQuery) and SQL; using Python or R to clean, explore, and transform data, perform statistical analyses, and develop clean, reproducible code; and designing action-oriented visualizations and dashboards (Tableau, Looker, Power BI, Sisense) along with programmatic visualizations (matplotlib, ggplot). Business knowledge requirements include understanding ecommerce KPIs such as conversion, demand, net sales, AOV, retention rate, and RFM. The ideal candidate will communicate findings clearly to business stakeholders and document assumptions, methodology, and results. Qualifications: bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline; 2+ years in analytics, BI, data science, or a related field; prior ecommerce/digital analytics/retail experience preferred. Compensation: USD 76,000 – USD 90,000 per year. Location: El Segundo, California.