Operational Excellence Senior Analyst

CVS Health•La Habra, CA

1d•$46,988 - $112,200

About The Position

CVS Health is seeking an Operational Excellence Senior Analyst for its La Habra, California location. The role leads projects and supports a culture of continuous improvement to improve operational safety, quality, delivery, and productivity. It supports facility KPIs through labor management systems, lean implementation, and process design and improvement, and connects operations, network optimization, and automation around a shared value-stream improvement vision. The role requires travel to other distribution centers approximately 10% of the time. The position addresses safety through technology, layout, ergonomics, and process improvements; supports quality problem-solving and root-cause analysis; and delivers operational capacity improvements by identifying and executing kaizens. As the site's lean expert, the role mentors colleagues and supports kaizens, tier meetings, standard work, value-stream mapping, poka-yoke, and improvements to material movement and storage. It also contributes to data-engineering projects, collection and use of operational data, dashboards, reports, and escalation systems; plans and manages multiple projects; leads change with stakeholders; and maintains engineered labor standards and LMS/WMS configurations. The position is full-time, with 40 anticipated weekly hours. The listed pay range is $46,988 to $112,200, with potential eligibility for a CVS Health bonus, commission, or short-term incentive program. The role is eligible for benefits including medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, subject to eligibility.

Requirements

Demonstrated success and experience with lean manufacturing concepts and continuous improvement.
Experience with WMS, ERP, MES, or LMS systems and database structures.
Experience managing projects and substantial experience in change management.
Ability to solve problems using a multidisciplinary approach and collaborate with internal and external stakeholders.
Strong analytical thinking and problem-solving skills, including working with data and reports.
Ability to work independently and structurally, as a team player, and under pressure.
Ability to manage multiple priorities and tasks successfully.
Knowledge of Microsoft Office applications.
Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or a related engineering or science field, or at least four years of demonstrated success and experience in Industrial Engineering, Process Engineering, Lean Manufacturing, Continuous Improvement, or Operational Excellence in manufacturing or warehouse operations.

Nice To Haves

At least two years of experience in a manufacturing or distribution center environment.
At least one year of demonstrated success and experience in Lean Manufacturing, Continuous Improvement, or Operational Excellence in manufacturing or warehouse operations.
At least one year of experience with Microsoft Azure, Snowflake semantic modeling, SQL, and Power BI.
At least one year of experience with WMS, ERP, MES, or LMS systems and database structures.
At least one year of demonstrated success managing projects.
Certification in standards-based time-and-motion study systems such as MOST or MTM.
Six Sigma Green Belt certification.
Comfort presenting concepts to direct peers and senior-level management.
Experience working in a larger corporation and with counterparts in other remote locations.
Good verbal and written communication skills in English.
Strong interpersonal and communication skills; self-motivation; customer orientation; multitasking ability; and stress-management capability.

Responsibilities

Identify and improve site safety through technology, layout, ergonomics, and process improvements.
Help deliver high quality by supporting root-cause problem solving and making problems visible for resolution.
Deliver capacity improvements by identifying and executing kaizens that remove bottlenecks, increase storage density, and help meet customer demand.
Serve as the site's lean manufacturing expert, mentor the team, and support business objectives through kaizens, effective tier meetings, standard work, value-stream mapping, shared vision, poka-yoke, and material movement and storage improvements.
Contribute to or lead data-engineering changes and projects, including adding data collection where needed and translating data into information for decision-making and problem-solving.
Develop or support traceability, performance dashboards and reports, and site escalation systems; maintain standards for informed decision-making and use data to support operational process and performance management.
Plan and execute multiple projects, managing risks, critical paths, and dependencies to meet project goals on time.
Lead site change collaboratively with stakeholders, manage change phase-ins and phase-outs, and follow through to ensure successful implementation.
Identify improvement opportunities and develop financial business cases and project plans to initiate changes.
Own or co-own site engineered labor standards, ensuring accuracy and fairness.
Update LMS and WMS configurations to optimize processes and labor standards.
Travel to other distribution centers approximately 10% of the time.