Senior Data Analyst- Business Analytics & AI at MATTELCO UK Ltd

El Segundo, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

110000.0

Posted On

21 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Tableau, Power BI, BigQuery, Vertex AI, Data analysis, Business analytics, Predictive modeling, Attribution analysis, Data visualization, Prompt development, Model optimization, Reporting, Cross-functional collaboration

Industry

Manufacturing

Description

Company Description CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers. Job Description The Opportunity: We’re looking for a Senior Data Analyst, Business Analytics & AI to help drive better decisions across Product Development through advanced analytics, business reporting, and applied AI. In this role, you’ll turn complex data into clear, actionable insights that support planning, improve visibility, and help teams make smarter decisions around schedule, cost, and product attribution. You’ll partner closely with Global Brand Teams, Product Development, Supply Chain, and other cross-functional stakeholders to solve real business problems and build modern analytics solutions that create impact. You’ll also have the opportunity to contribute to emerging AI initiatives using tools such as BigQuery, Tableau, and Vertex AI What Your Impact Will Be: Build and enhance reporting and analytics solutions using both existing and newly integrated data sources Translate complex data into clear insights and recommendations that support business and management decision-making Support predictive analysis and reporting across Product Development and Supply Chain Partner with business stakeholders to understand needs, define requirements, and identify opportunities for analytics and AI solutions Participate in cross-functional working sessions and project teams to solve problems and improve business processes Help improve data visibility, data quality, and adoption of reporting tools and analytics best practices Support applied AI initiatives, including prompt development, model optimization, and Vertex AI workflows Integrate AI outputs into reporting pipelines and business processes where appropriate Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical audiences Contribute to the continued growth of analytics, reporting, and AI capabilities across the business Qualifications What We’re Looking For: Must-Haves: Bachelor’s degree in Data Science, Analytics, Statistics, Computer Science, MIS, or a related field 4 years of experience with a BA/BS, or 1-2 years with a master’s degree Experience in data analysis, business analytics, reporting, or a similar role Strong SQL and Python skills Experience with Tableau, Power BI, or similar data visualization tools Ability to turn complex information into practical business insights and recommendations Strong communication skills and comfort working directly with cross-functional stakeholders Ability to manage priorities, work independently, and thrive in a fast-moving environment Experience with AI/ML concepts and tools is preferred Familiarity with Google tools such as BigQuery and Vertex AI, along with prompt development, model training, or applied AI workflows is a plus Preferred: Experience supporting Product Development, Supply Chain, or related business teams Exposure to predictive modeling, attribution analysis, or automated insight generation Experience integrating AI into reporting or enterprise workflows Experience helping teams adopt reporting tools, data standards, or analytics best practices Experience working in a global, cross-functional organization *The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate’s work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential. Additional Information Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here! How We Work: We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors: We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower. We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking. We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results. Who We Are: Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential. Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more. Visit us at https://jobs.mattel.com/ and www.instagram.com/MattelCareers. Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law. Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment. Videos to watch: The Culture at Mattel Corporate Philanthropy Location: California - El Segundo Company: Mattel HQ, Inc. Compensation: USD 97000 - USD 110000 - yearly

Responsibilities

The Senior Data Analyst will build and enhance reporting solutions while leveraging applied AI to drive decision-making across Product Development and Supply Chain. They will partner with cross-functional stakeholders to translate complex data into actionable insights and improve data visibility.