[Remote] Regional Lean Business Analyst, Operational Excellence

Note: The job is a remote job and is open to candidates in USA. Agilent Technologies is seeking a Regional Lean Business Analyst to enhance operational excellence through lean deployment. The role involves on-site collaboration with manufacturing teams to analyze processes and implement improvements, leveraging data-driven insights to drive efficiency and effectiveness.ResponsibilitiesDeploy on-site alongside the RDL and Lean Manufacturing Specialist during diagnostic and improvement cycles at Americas manufacturing sites, serving as the analytical backbone of the deployment trioParticipate and conduct direct floor-level process observation, time studies, material and information flow analysis, and Gemba-based problem identification as an active member of the deployment teamTranslate floor-level observations into structured problem statements and quantified opportunity assessments that the triad uses to prioritize improvement efforts with site leadershipSupport the design and implementation of lean countermeasures including standard work development, visual management systems, pull-based material flow, and quality process improvements in collaboration with site teamsContribute to diagnostic synthesis documents, deployment readouts, and site leadership presentations that communicate findings, recommendations, and results clearly and crediblyGather, clean, and structure production, quality, planning, and logistics data from site systems (SAP, MES, LIMS, and local databases) to support deployment diagnostics and ongoing improvement trackingBuild analytical models and dashboards using tools such as Python, Power BI, or equivalent platforms that help the deployment team identify process bottlenecks, capacity constraints, yield losses, and planning gapsDevelop tracking mechanisms and visual reporting that replace manual processes with clear, real-time visibility into deployment progress and site performanceManage deployment project tracking through Jira or equivalent tools, maintaining clear visibility into action item status, ownership, timelines, and completion evidence across concurrent site engagementsPartner with site controllers and the OEX control tower to substantiate improvement outcomes using the OEX Value Recognition Framework, ensuring savings claims are categorized accurately and supported by verifiable evidencePrepare financial impact summaries for deployment readouts and leadership reporting, translating operational improvements into the gross profit recovery and cost reduction language that the organization tracksBuild and maintain regional tracking tools that provide cumulative visibility into the Americas deployment portfolio, savings trajectory, and site maturity progressionDevelop reusable analytical templates, diagnostic data request packages, and deployment playbooks that accelerate future site engagements and reduce the ramp-up time for new team membersTrain site-level personnel on basic data collection protocols and self-service reporting tools so that improvement visibility persists after the deployment team transitions outContribute to the evolution of OEX’s analytical methodology, incorporating new tools and emerging best practices as the function maturesSkillsBachelor's degree in Industrial Engineering, Manufacturing Engineering, Data Science, Business Analytics, or a related quantitative discipline8+ years of professional experience in manufacturing operations with direct, hands-on involvement in lean or continuous improvement deployments, kaizen events, or structured operational improvement programs at the floor levelStrong analytical and data fluency with demonstrated ability to build and apply tools such as Python, Power BI, or equivalent platforms for data manipulation, visualization, and operational analysis. Candidates with deep lean deployment backgrounds who can demonstrate rapid self-directed technical skill acquisition will be considered alongside those with established proficiencyExperience extracting and working with data from ERP systems (SAP strongly preferred) and manufacturing execution systemsWorking knowledge of project management tools such as Jira, Smartsheet, or equivalent, with experience tracking multi-workstream improvement programsComfort operating in a manufacturing floor environment during deployments, including direct interaction with production operators, supervisors, quality engineers, and site plannersStrong written and verbal communication skills, with the ability to distill complex operational and analytical findings into clear narratives for both technical and executive audiencesWillingness to travel 30–50% within the Americas region during active deployment periods. Occasional international travel for cross-regional collaborationExperience in regulated manufacturing environments such as life sciences, diagnostics, or pharmaceuticalsDirect experience operating within a structured production system methodology such as the Toyota Production System, Danaher Business System, or comparable enterprise-wide operational excellence framework, with an understanding of how deployment-based improvement differs from project-based continuous improvementWorking familiarity with manufacturing cost structures, standard costing, and the mechanics of how operational improvements translate to financial outcomes at the site levelExperience with SQL for direct database queries and data extractionExposure to both instrument manufacturing and biological or pharmaceutical manufacturing environmentsMaster's degree in a relevant quantitative fieldBenefitsEligibility for bonusEligibility for stockBenefitsOption to work remotelyCompany OverviewAgilent Technologies addresses the scientific and laboratory management needs of analytical scientists and clinical researchers. It was founded in 1999, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is http://www.agilent.com.Company H1B SponsorshipAgilent Technologies has a track record of offering H1B sponsorships, with 7 in 2026, 51 in 2025, 56 in 2024, 58 in 2023, 70 in 2022, 64 in 2021, 53 in 2020. Please note that this does not guarantee sponsorship for this specific role.