Business Operations Analyst

We’re looking for a Business Operations Analyst to join our LA based team! This is a graduate-level opportunity for someone at the start of their career who wants real ownership from day one. 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!

About ZURU

ZURU is on a mission to disrupt across industries, challenge the status quo and catalyst 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, Rascals, BONKERS, Gumi Yum Surprise, and more!

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• Provide analytical support for retailer-level sales performance and proactive SKU management.
• Build weekly, monthly and seasonal forecasts that drive growth and manage excess inventory.
• Maximise POS performance through in-stock management and End of Selling Period inventory transition.
• Analyse and summarise item and brand performance, publishing your findings and insights to the wider business.
• Prepare ad-hoc reports in response to business needs.
• Analyse product assortment and child-level performance to recommend the optimal product mix.
• Research, analyse and publish relevant industry and market trends.
• Build and maintain Profit and Loss statements - analysing revenue, cost and margin by product, brand, class and category to support informed recommendations.

• Collaborate with Inventory/Demand Planners and Buyers to optimise inventory management.
• Engage with ZURU’s VP of Sales, Commercial, Marketing and Operations teams to keep the business aligned.
• Present sales, operations and financial data to the retailer’s team during key meetings.

• Support Sales in Line Review, JBP, forecasting and Buyer’s meeting preparation.
• Address requests from Sales, Commercial and Marketing teams regarding POS information.
• Prepare and distribute accurate weekly and monthly POS reports, reviewing them with specific sales teams to surface actionable insights.

• Identify opportunities for improved efficiency and more timely communication of business performance.
• Document key processes and best practices for sharing across teams.
• Map inefficiencies and waste, then propose and implement scalable solutions.

The annual salary range for this position is $75,000 - $80,000.

Please note this role is based in-person in our LA office.

• Real ownership of retailer-level analysis from the start - your forecasts, P&Ls and insights will be used by senior leaders to make commercial decisions, not filed away.
• Direct exposure to retail customers and to ZURU’s Sales, Commercial, Marketing and Operations teams, building the commercial judgement and stakeholder skills that take most analysts years to develop.
• Hands-on development of your analytical toolkit - SQL, data visualisation, forecasting and P&L analysis.
• Exposure to an ever-expanding and far-reaching business across a wide variety of sectors and industry groups, giving you a first-hand view of market practices, challenges and trends, and how data drives decisions across a global business.
• A clear runway to grow. As ZURU is on such a fast growth trajectory, high performers move quickly into broader scope and greater responsibility.

• A recent graduate (or approaching graduation) in Business, Finance, Economics, Analytics, Statistics, Supply Chain, Mathematics or a related field .
• Working knowledge of Excel and SQL, with familiarity across data…