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9C
9005 CVS Pharmacy, Inc.
Operational Excellence Analyst
Career Insights for Operations Analyst (General)
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Based on New Jersey data
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What they do
An Operations Analyst analyzes systems and processes in an organization or business and uses findings to help solve problems and improve management. Uses advanced statistical and mathematical models and computer software to analyze a wide variety of data; collaborates with other analysts and with the management of an organization.
$76,388 / year median in New Jersey
+3% projected growth
Job Description
We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger
- helping to simplify health care one person, one family and one community at a time.
Job Summary:
CVS is seeking an operational excellence analyst for our Lumberton, NJ AutoStore CW location. This role is responsible for being a key member of the site team to drive projects, culture, and continuous improvement initiatives focused on improving safety, quality, delivery, cost, productivity, and automation performance. The Analyst will support site leadership by identifying and executing opportunities that optimize operational performance through Lean methodologies, process engineering, data analytics, and project management. The role will act as a key liaison between Operations, Engineering, Maintenance, Automation, Inventory Control, and Network Optimization teams to deliver sustainable business results. The Analyst will be expected to travel up to 10% to support network initiatives and best practice sharing.Key Responsibilities:
Safety- Responsible for identifying and improving safety at the site using technology, process design, facility layout optimization, improved ergonomics, visual management, and Lean methodologies. Support site teams in identifying hazards and implementing sustainable corrective actions. Quality
- Responsible for supporting world-class quality through structured problem-solving methodologies, root cause analysis, corrective action implementation, and continuous improvement initiatives. Ensure operational issues are visible and addressed through effective performance management systems. Delivery
- Responsible for delivering capacity and productivity improvements by identifying and eliminating bottlenecks, increasing storage density, optimizing material flow, and improving operational throughput to meet customer demand. Work closely with operations leaders to improve service levels and execution performance. Lean
- Serve as a site resource for Lean and Continuous Improvement methodologies.
- Contribute to and lead projects related to data collection, reporting, and analytics.
- Monitor, support, and analyze AutoStore performance metrics including throughput, utilization, downtime, error rates, productivity, and system performance.
- Responsible for planning, managing, and executing multiple projects simultaneously. Utilize project management disciplines to manage risks, dependencies, timelines, resources, and stakeholder expectations while ensuring successful project delivery. Develop business cases and support capital and operational improvement initiatives. Change Management
- This individual and team will lead change at the sites and must work collaboratively with stakeholders, manage phase in / phase out of changes, have robust follow through on changes to ensure success. Be able to see opportunities for improvement, put together a financial business case and project plan to initiate the change. Labor and Warehouse Management Systems
- Serve as site owner or co-owner of engineered labor standards, ensuring labor standards remain accurate, fair, and aligned with operational requirements.
Required Qualifications:
1 year of experience in a manufacturing, distribution center, fulfillment, or automated warehouse environment. 1+ years of demonstrated success and experience in Lean Manufacturing, Continuous Improvement, or Operational excellence in manufacturing or warehouse operation 1+ years' experience with Microsoft Azure Snowflake semantic modelling, SQL, and PowerBI 1 year experience in WMS, ERP, MES, or LMS systems and database structure 1+ years of demonstrated success in managing projects 1+ year of leadership experiencePreferred Qualifications:
Experience analyzing automation performance data and implementing continuous improvement initiatives within an automated distribution environment. Experience working with AutoStore or other automated material handling systems. Experience with Microsoft Power BI, Snowflake, SQL, Tableau, or similar analytics and visualization tools. Experience with WMS, LMS, ERP, or MES systems and database structures. Lean Six Sigma Yellow Belt, Green Belt, or equivalent certification. Experience using Lean methodologies including DMAIC, 5S, Value Stream Mapping, and Kaizen facilitation. Certified in standards-based time and motion study systems such as MOST or MTM. Comfortable creating and presenting concepts, recommendations, and results to site leadership and senior management. Experience working within a large, multi-site organization. Certified in standards-based time and motion study systems such as MOST and MTM Six Sigma Green Belt Certified Comfortable creating and presenting concepts within team of direct peers as well as senior level management Strong analytical thinking and problem-solving skills with experience utilizing data and reports to drive performance improvements. Experience in managing projects and supporting organizational change initiatives. Ability to work collaboratively with cross-functional stakeholders in a fast-paced environment. Strong interpersonal, communication, and presentation skills. Capable of managing multiple priorities and delivering results under pressure. Knowledge of Microsoft Office applications, particularly Excel. Good verbal and written communication skills in English. Experience working with a larger corporation and counterparts in other remote locations Education Bachelor's degree or equivalent experience in Industrial Engineering, Manufacturing Engineering, Supply Chain Management, Operations Management, or related engineering/science field; or 1+ years of demonstrated success in Industrial Engineering, Continuous Improvement, Lean Manufacturing, Process Engineering, or Operational Excellence within a manufacturing, distribution, or supply chain environment. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $43,888.00- $93,574.