Data Analyst Intern

We're looking for a data analyst intern to join our team! If you're a problem-solving pro, an analytical thinker, a team player, and can speak the language of data - we want to hear from you!

ZURU is on a mission to disrupt across industries, challenge the status quo, and catalyze change through radical innovation and automation advances. This is in play in different pillars of the company: ZURU Toys are re-imagining what it means to play; ZURU Tech is shaping a better future by leading the next building revolution; ZURU Edge is pioneering new generation FMCG brands to better serve modern consumers.

Founded in 2003 by EY Entrepreneur of the Year and World Entrepreneur Hall of Fame brothers Nick and Mat Mowbray, ZURU has quickly grown to a team of over 5000 direct and indirect members across more than 30 international locations.

One of the largest toy companies in the world, globally recognized and award-winning brands include Bunch O Balloons, Mini Brands, XSHOT, Rainbocorns, and Smashers. Our global FMCG brands include MONDAY Haircare, Rascal + Friends, NOOD, BONKERS, and Gumi Yum Surprise.

This internship will be full-time for three months, based in-person in our LA office, starting as soon as possible. The hourly rate for this position is $20 per hour.

Roles & Responsibilities:

• Assist in collecting and organizing data from various sources, including databases, file shares, and external data sets, ensuring accuracy and completeness for analysis.
• Perform preliminary data analysis to identify trends, patterns, and anomalies within large datasets using statistical tools and software.
• Write and execute SQL queries to retrieve information from databases for specific analysis projects, ensuring data integrity and efficiency.
• Assist the team with inventory management.
• Collaborate with cross-functional teams to understand data needs and deliver actionable insights through data analysis.
• Participate in the design and implementation of new data collection and analysis methodologies to improve the quality and efficiency of data-driven decision-making processes.
• Document analytical methodologies, coding procedures, statistical findings, and progress reports to ensure transparency and reproducibility of results.
• Support the maintenance and troubleshooting of data analytics tools and software, including performing updates and ensuring compatibility with data sources.