Sr Quality Data Analyst (Brand Consultant)

Pay Range USD $84,000 and $106,000 Yearly. 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. Opportunity Do you thrive on uncovering insights through data, are a seasoned data storyteller, and are you looking for an exciting career supporting brands like Hot Wheels, Barbie, and Fisher-Price? The Product Quality Analytics (PQA) team is seeking a highly skilled brand consultant with a strong focus on data storytelling to join our dynamic group supporting global Quality, Safety, and Sustainability. This role involves collaboration with global brand teams, quality engineering partners, and various stakeholders to drive data‑driven decision‑making and continuous improvement. The ideal candidate will have a deep understanding of and interest in data analysis, AI tools, and the ability to communicate effectively with both technical and non‑technical stakeholders. Responsibilities Data Analysis and Interpretation: Conduct thorough data analysis to identify key trends, patterns, and insights, and present findings in a clear and visually engaging manner. Stakeholder Presentations: Prepare and deliver high‑impact insights and lessons learned presentations to stakeholders to drive the development of high‑quality products. Collaborate with Stakeholders: Work closely with cross‑functional teams, including quality engineering, global brand teams, and leadership to understand their data needs and translate them into effective insights for future development. Assist in Development of Dashboards/Tools: Collaborate with the PQA data team and global brand teams to propose enhancements for interactive dashboards and reports in Tableau, meeting the evolving needs of the business. Mentor and Train: Offer guidance and empower cross‑functional team members to utilize analytical tools independently, fostering a data‑driven culture. Innovation and Experimentation: Stay up to date with the latest trends and technologies in data storytelling and data analytics, continuously seeking opportunities to innovate and improve insights and storytelling capabilities. Project Management: Manage multiple projects simultaneously, ensuring timely delivery and alignment with business objectives. Domestic travel on occasion. Qualifications Minimum of 3 years of experience in data analysis and data storytelling, with demonstrated success influencing actionable decisions through data‑driven insights. Highly technical: Experienced in Tableau, Confluence, and Jira, with strong analytical and data visualization skills. Familiarity with AI tooling, BigQuery, and programming languages such as Python or R is considered a plus. Bachelor's degree in data analysis, statistics, mathematics, economics, business, or a related analytical field is required. Skills Critical Thinking: Evaluate data and insights critically to ensure accuracy and relevance. Communication: Excellent verbal and written communication skills. Presentation Skills: Present complex information clearly and concisely, tailoring the narrative to specific needs and knowledge levels of the audience. Problem‑Solving: Strong problem solver with the ability to think critically and creatively. Team Player: Work collaboratively in a team environment and manage relationships with stakeholders at all levels. Growth Mindset: Demonstrate a growth mindset by staying curious and continuously learning, embracing challenges, and improving oneself. 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. #J-18808-Ljbffr