Staff Data Analyst, Lean and Process Improvement, Co Manufacturing

Mattel, Inc.and Subsidiaries; El Segundo (CA); On-site; USD 145,000 - 162,000; Full time

Job summary

Mattel, Inc. and Subsidiaries seeks a Staff Data Analyst, Lean and Process Improvement, Co Manufacturing, to lead diagnostics, solution design and sustainment of Lean initiatives across Product Supply.

You will own data insights, dashboards and governance to improve service, reduce waste and decision speed. The role requires strong expertise in Lean, data analytics, and cross‑functional collaboration with procurement, manufacturing and IT.

Qualifications

• Bachelor degree in a related field.
• 6 to 10 years in process improvement, supply chain, manufacturing operations, strategy, operations excellence, business analytics or management consulting.
• Demonstrated experience leading complex process improvement initiatives from diagnostics through implementation and sustainment.
• Deep knowledge of Lean methodologies, process design, root cause analysis, value stream mapping, standard work, operating model design and change management.
• Strong analytical capability with the ability to work with large, complex datasets and translate insights into practical business recommendations.
• Experience building dashboards, scorecards, executive readouts and performance management tools.
• Advanced Excel and PowerPoint skills, with experience using Tableau, Power BI, SQL, Google BigQuery or similar tools preferred.
• Strong business judgment, structured problem solving and ability to operate with ambiguity.
• Proven ability to influence leaders and stakeholders without direct authority.
• Strong executive communication skills, including the ability to simplify complex information, frame decisions and present clear recommendations.
• Ability to manage multiple priorities, lead working sessions and drive accountability across cross‑functional teams.
• Comfort working in a global, matrixed environment with internal teams and external manufacturing partners.

Responsibilities

• Lead value stream diagnostics across Procurement, Manufacturing, Co Manufacturing Teams and stakeholders.
• Identify process wastes and performance gaps using Lean tools like value stream mapping and 5 Whys.
• Develop the improvement roadmap with a prioritized pipeline and expected benefits.
• Translate data into actionable insights from operational, financial and supply chain data.
• Build dashboards and scorecards for leadership decision making and visibility.
• Create business cases quantifying expected value from improvement initiatives.
• Redesign future state workflows, RACIs, and governance routines.
• Drive implementation from pilots to sustainment, including adoption tracking and training.
• Facilitate Lean events and cross-functional workshops to align problems and solutions.
• Strengthen data quality and governance with defined metrics and sources of truth.
• Partner on systems and reporting enablement with IT and analytics teams.
• Influence senior stakeholders with executive-ready recommendations.

Skills

Lean methodologies

Data analytics

Executive communication

Stakeholder influence

Cross-functional collaboration

Problem solving

Ambiguity handling

Time management

Education

Bachelor's degree in Supply Chain, Operations, Industrial Engineering, Business, Data Analytics, Statistics, Finance or related field

Tools

Tableau

Power BI

SQL

Google BigQuery

Job description

Staff Data Analyst, Lean and Process Improvement, Co Manufacturing

Pay Range: USD $145,000 - $162,000 yearly

Base pay determined based on candidate's work location, skills and experience.

Location: El Segundo, California

The Opportunity:

Mattel is seeking a Staff Data Analyst, Lean and Process Improvement, Co Manufacturing, to lead complex process improvement initiatives across the Product Supply Organization. Reporting to the Director, Contract Manufacturing & Process Improvement, this role will own diagnostics, solution design, implementation and sustainment of Lean-driven improvements that increase visibility, reduce waste, improve service, strengthen governance and enable more effective decision making.

What Your Impact Will Be:

• Lead value stream diagnostics: Own current state and future state assessments across Global Procurement, Manufacturing, Co Manufacturing Teams and Key Stakeholders to identify issues and opportunities.
• Identify process wastes and performance gaps: Use Lean tools such as value stream mapping, SIPOC, A3 problem solving, 5 Whys, root cause analysis, Kaizen, standard work and control plans to identify bottlenecks, rework, manual workarounds, unclear ownership, decision delays and data quality gaps.
• Develop the improvement roadmap: Build and maintain a prioritized pipeline of process improvement opportunities, supported by business impact, complexity, resource needs, risk, timeline and stakeholder readiness.
• Translate data into actionable insights: Analyze operational, financial and supply chain data and processes to identify trends, performance drivers, recurring issues and improvement opportunities.
• Build performance visibility: Develop dashboards that enable operations and top management decision making processes, such as scorecards and leadership reporting that track cycle time, service, schedule adherence, capacity utilization, supplier performance, inventory health, quality trends, rework, issue aging, cost drivers and initiative benefits.
• Create business cases for change: Quantify expected value from improvement initiatives, including productivity, lead time reduction, cost avoidance, service improvement, risk mitigation, working capital improvement and decision speed.
• Redesign processes and operating models: Partner with business owners to define future state workflows, process maps, RACIs, governance routines, decision rights, escalation paths, standard work, documentation and control mechanisms.
• Drive implementation from concept through sustainment: Lead pilots, implementation plans, adoption tracking, training materials, stakeholder communications, testing, cutover support and post‑implementation reviews.
• Facilitate Lean events and working sessions: Plan and lead cross‑functional workshops with Product Supply, Contract Manufacturing, Supply Chain, Procurement, Quality, Engineering, Finance, IT and external partners to align on problems, options, decisions and execution plans.
• Strengthen data quality and process governance: Define consistent metrics, data definitions, source of truth expectations and reporting routines to improve confidence in Product Supply and co‑manufacturing decision making.
• Partner on systems and reporting enablement: Work with IT, analytics and business teams to document business requirements, improve data flows, automate manual reporting and support adoption of digital tools that enable process visibility and control.
• Influence senior stakeholders: Prepare executive‑ready recommendations, readouts and decision materials that clearly communicate findings, trade‑offs, risks, benefits and required actions.
• Coach others on Lean ways of working: Build process improvement capability across the team by coaching stakeholders on Lean tools, problem‑solving routines, data‑backed decision making and sustainment practices.
• Track benefits and accountability: Establish clear success measures, monitor initiative progress, validate realized benefits and ensure improvements are embedded into day‑to‑day operations.
• Promote continuous improvement culture: Help Product Supply move from reactive issue resolution to proactive performance management through standard routines, root‑cause discipline, ownership clarity and scalable best practices.

What We're Looking For:

Must Haves

• Bachelor degree in Supply Chain, Operations, Industrial Engineering, Business, Data Analytics, Statistics, Finance or a related field.
• 6 to 10 years of experience in process improvement, supply chain, manufacturing operations, strategy, operations excellence, business analytics or management consulting.
• Demonstrated experience leading complex process improvement initiatives from diagnostics through implementation and sustainment.
• Deep knowledge of Lean methodologies, process design, root cause analysis, value stream mapping, standard work, operating model design and change management.
• Strong analytical capability with the ability to work with large, complex datasets and translate insights into practical business recommendations.
• Experience building dashboards, scorecards, executive readouts and performance management tools.
• Advanced Excel and PowerPoint skills, with experience using Tableau, Power BI, SQL, Google BigQuery or similar tools preferred.
• Strong business judgment, structured problem solving and ability to operate with ambiguity.
• Proven ability to influence leaders and stakeholders without direct authority.
• Strong executive communication skills, including the ability to simplify complex information, frame decisions and present clear recommendations.
• Ability to manage multiple priorities, lead working sessions and drive accountability across cross‑functional teams.
• Comfort working in a global, matrixed environment with internal teams and external manufacturing partners.

Preferred Qualifications

• MBA, Master degree or advanced degree in a relevant discipline.
• Lean Six Sigma Green Belt, Black Belt or equivalent process improvement certification.
• Experience in consumer products, manufacturing, supply chain, toy industry, retail supply chain or seasonal product environments.
• Experience with ERP, planning, procurement, quality, manufacturing or supplier management systems.
• Experience supporting contract manufacturing, vendor manufacturing or third‑party production networks.
• Experience using Python, R, process mining, automation tools or applied AI to improve reporting, diagnostics and decision making.
• Demonstrated a growth mindset by staying curious and continuously learning, embracing challenges, and improving themselves.

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.