Business Analyst Python Jobs in Massachusetts (NOW HIRING)

Job Description

The Regional Lean Business Analyst is a deployment-embedded role, not a desk-based reporting function. You will spend significant time on manufacturing floors alongside the RDL and Lean Manufacturing Specialist during site diagnostics and improvement cycles, directly observing processes, engaging with production teams, and gathering the data to turn into action. During active deployments, the Regional Lean Business Analyst works under the direction of the Regional Deployment Leader as part of the integrated triad. What makes this role distinct is the combination of genuine lean deployment experience with the analytical capability to substantiate what the team finds on the floor. You need to understand what you are looking at on the floor before you can structure the data behind it. The right candidate is someone who has led or participated meaningfully in lean or continuous improvement deployments and brings enough technical fluency to build the tools, dashboards, and tracking mechanisms that make improvement outcomes visible and defensible.

Key Responsibilities

Lean Deployment Execution

• Deploy 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 trio.

• Participate 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 team.

• Translate floor-level observations into structured problem statements and quantified opportunity assessments that the triad uses to prioritize improvement efforts with site leadership.

• Support 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 teams.

• Contribute to diagnostic synthesis documents, deployment readouts, and site leadership presentations that communicate findings, recommendations, and results clearly and credibly.

• Analytical Support and Digital Tooling

• Gather, 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 tracking.

• Build 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 gaps.

• Develop tracking mechanisms and visual reporting that replace manual processes with clear, real-time visibility into deployment progress and site performance.

• Manage deployment project tracking through Jira or equivalent tools, maintaining clear visibility into action item status, ownership, timelines, and completion evidence across concurrent site engagements.

• Savings Substantiation and Reporting

• Partner 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 evidence.

• Prepare financial impact summaries for deployment readouts and leadership reporting, translating operational improvements into the gross profit recovery and cost reduction language that the organization tracks.

• Build and maintain regional tracking tools that provide cumulative visibility into the Americas deployment portfolio, savings trajectory, and site maturity progression.

• Capability Building and Knowledge Management

• Develop reusable analytical templates, diagnostic data request packages, and deployment playbooks that accelerate future site engagements and reduce the ramp-up time for new team members.

• Train site-level personnel on basic data collection protocols and self-service reporting tools so that improvement visibility persists after the deployment team transitions out.

• Contribute to the evolution of OEX's analytical methodology, incorporating new tools and emerging best practices as the function matures.

Qualifications

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Data Science, Business Analytics, or a related quantitative discipline.

• 8+ 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 level.

• Strong 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 proficiency.

• Experience extracting and working with data from ERP systems (SAP strongly preferred) and manufacturing execution systems.

• Working knowledge of project management tools such as Jira, Smartsheet, or equivalent, with experience tracking multi-workstream improvement programs.

• Comfort operating in a manufacturing floor environment during deployments, including direct interaction with production operators, supervisors, quality engineers, and site planners.

• Strong written and verbal communication skills, with the ability to distill complex operational and analytical findings into clear narratives for both technical and executive audiences.

• Willingness to travel 30-50% within the Americas region during active deployment periods. Occasional international travel for cross-regional collaboration.

Preferred Qualifications

• Experience in regulated manufacturing environments such as life sciences, diagnostics, or pharmaceuticals.

• Direct 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 improvement.

• Working familiarity with manufacturing cost structures, standard costing, and the mechanics of how operational improvements translate to financial outcomes at the site level.

• Experience with SQL for direct database queries and data extraction.

• Exposure to both instrument manufacturing and biological or pharmaceutical manufacturing environments.

• Master's degree in a relevant quantitative field.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least June 25, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $124,160.00 - $232,800.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: 50% of the TimeShift: DayDuration: No End DateJob Function: Manufacturing