Sr Analytics Analyst- Inbound Logistics

Mattel•San Bernardino, CA

23h•$84,000 - $100,000•Onsite

About The Position

The Sr. Logistics 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. Logistics 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.

Requirements

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.
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.

Nice To Haves

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

Responsibilities

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.
Provide timely, accurate, and trusted analytics that enable stakeholders to monitor performance, evaluate opportunities, respond to operational challenges, and make informed business decisions.
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.
Identify opportunities to streamline business processes, reduce manual effort, eliminate repetitive tasks, automate reporting, and improve operational productivity through data-driven solutions.
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.
Develop automated data pipelines, workflows, and reporting processes that improve efficiency, reduce manual intervention, and support recurring analytics and operational reporting activities.
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.
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.
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.
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.
Lead and support cross-functional analytics projects, operational improvement initiatives, executive reporting, and strategic analyses that align with business objectives and deliver measurable value.
Complete additional responsibilities and special projects in support of departmental and organizational objectives.
As Assigned by Manager