Mattel

Sr Analytics Analyst- Inbound Logistics

San Bernardino, CALIFORNIA, United States · On-site · Full-time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerMattel
LocationSan Bernardino, CALIFORNIA, 92408, United States
Work styleOn-site
Employment typeFull-time
Employer posted23 days ago

The Opportunity:

The Sr. Analytics Analyst designs, develops, and continuously enhances analytics solutions that transform inbound logistics and customs compliance data into trusted, business-ready insights that support operational execution and strategic decision-making. Working collaboratively with cross-functional stakeholders, the Sr. Analytics Analyst translates business requirements into scalable analytics solutions that improve visibility and decision-making for operational, managerial, and executive leadership. Operating with a high degree of autonomy, this role is responsible for the continuous evolution of the department's analytics ecosystem by identifying opportunities to optimize business processes, strengthen analytics capabilities, and support the organization's evolving operational and strategic objectives.

What Your Impact Will Be:

Translate Operational Data into Actionable Insights: Analyze and transform inbound logistics and customs compliance data into meaningful, business-ready insights that improve operational visibility, identify trends and opportunities, and support strategic and operational planning.
Enable Informed Decision-Making: Provide timely, accurate, and trusted analytics that enable stakeholders to monitor performance, evaluate opportunities, respond to operational challenges, and make informed business decisions.
Deliver Scalable Analytics Solutions: Design, develop, implement, and maintain scalable analytics solutions, dashboards, reports, data models, and visualizations that expand self-service access to trusted information and adapt to evolving business requirements.
Improve Operational Efficiency: Identify opportunities to streamline business processes, reduce manual effort, eliminate repetitive tasks, automate reporting, and improve operational productivity through data-driven solutions.
Curate Business-Ready Datasets: Consolidate, cleanse, validate, and transform logistics and customs compliance data into trusted, reusable datasets that provide a consistent foundation for reporting, analytics, and decision-making.
Automate Analytics Workflows: Develop automated data pipelines, workflows, and reporting processes that improve efficiency, reduce manual intervention, and support recurring analytics and operational reporting activities.
Ensure Data Quality and Reporting Standards: Establish, maintain, and continuously improve data governance practices, business rules, metric definitions, and reporting standards to ensure consistent, accurate, and reliable analytics across the organization.
Partner Across Business Functions: Build collaborative relationships with Operations, Transportation, Customs Compliance, Finance, IT, Supply Chain, and other business partners to understand operational challenges and translate stakeholder requirements into impactful analytics solutions.
Champion Analytics Adoption: Drive the successful adoption of analytics solutions by engaging stakeholders, incorporating user feedback, providing user support and training, and promoting data-driven decision-making throughout the organization.
Drive Continuous Improvement: Identify opportunities to strengthen analytics capabilities and improve business processes by evaluating emerging technologies, implementing analytics best practices, and recommending innovative solutions that enhance organizational performance.
Support Strategic Business Initiatives: Lead and support cross-functional analytics projects, operational improvement initiatives, executive reporting, and strategic analyses that align with business objectives and deliver measurable value.
Perform Other Duties as Assigned: Complete additional responsibilities and special projects in support of departmental and organizational objectives.
Other Responsibilities: As Assigned by Manager

Show full description

EXPERIENCE AND EDUCATION

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Supply Chain Management, Industrial Engineering, or a related field, or an equivalent combination of education and experience.
Five (5) or more years of experience designing, developing, and delivering analytics solutions supporting logistics, transportation, customs compliance, supply chain, distribution, or other operational business functions.
Demonstrated experience translating business requirements into scalable analytics solutions through the development of business-ready datasets, automated data pipelines, reporting solutions, and analytics workflows.

REQUIRED KNOWLEDGE AND SKILLS

Strong knowledge of modern analytics technologies supporting data integration, automation, cloud-based analytics, and data visualization, including advanced SQL, Incorta, Tableau, Google Cloud Platform (GCP), Python, APIs, or comparable technologies.
Demonstrated analytical and problem-solving skills with the ability to transform complex operational data into meaningful business insights that drive decision-making.
Excellent communication and stakeholder management skills with the ability to present complex analytical concepts to both technical and non-technical audiences and build effective cross-functional partnerships.
Experience supporting analytics for global logistics, transportation, customs compliance, import/export operations, or other supply chain functions.
Ability to evaluate and leverage emerging technologies, including artificial intelligence (AI), to enhance analytics capabilities, improve operational efficiency, and support business process optimization.
Demonstrated growth mindset, intellectual curiosity, learning agility, and willingness to improve processes through new methods and technologies.

PREFFERED SKILLS

Master's degree in Data Science, Analytics, Computer Science, Information Systems, Business Analytics, or a related field.

What It’s Like to Work Here:

We are a purpose driven company aiming to empower the next generation 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 company and owner of one of the strongest catalogs of children’s and family entertainment franchises in the world. We create innovative products and experiences that inspire, entertain and develop children through play. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies. Our offerings include film and television content, gaming, music and live events. We operate in 35 locations and our products are available in more than 150 countries 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 children to explore the wonder of childhood and reach their full potential.

Visit us at https://jobs.mattel.com/ and www.instagram.com/MattelCareers.

Mattel is an Affirmative Action/Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers including minorities, females, veterans, individuals with disabilities, and those of all sexual orientations and gender identities.

All your information will be kept confidential according to EEO guidelines.

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.

The pay range for this position is between $84,000 and $100,000 annual. 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.

Videos to watch:
The Culture at Mattel
Mattel Investor Highlights

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.