Manufacturing Data Analyst

• Partner with formulation quoting planning scheduling Product Data Management and Quality Control teams to understand workflows data requirements and operational challenges.

• Collect enter organize clean validate analyze and maintain manufacturing laboratory planning quoting and product data.

• Support daily scheduling and production workflows by preparing data identifying gaps or discrepancies and providing timely operational insights.

• Develop and maintain repeatable reports dashboards KPIs data models and analytical workflows that improve planning resource utilization and business continuity.

• Facilitate current-state process reviews and help design practical future-state workflows that reduce manual handoffs strengthen data quality and support continuous improvement.

• Develop analytical models for production scheduling raw material management capacity planning and other manufacturing workflows.

• Investigate data discrepancies determine root causes and coordinate corrective actions with process owners and software engineers.

• Translate manufacturing and business needs into clear data definitions reporting requirements system specifications and user feedback for software engineers.

• Support LIMS and related system configuration master data setup data mapping and migration testing validation implementation issue resolution and user training.

• Help design sustainable data structures integrations queries automations and reporting solutions that can scale with future site needs.

• Create and maintain SOPs work instructions process maps user guides and controlled system documentation for new and existing workflows.

• Provide hands-on support and training to manufacturing laboratory quality and technical users following system or process changes.

• Use AI and advanced analytical tools responsibly to automate repeatable work identify patterns and improve decision-making while validating outputs and protecting data integrity.

• Perform all work in accordance with established safety quality data-integrity and controlled-document requirements.

Required Qualifications

• Bachelors degree in chemistry biology computer science manufacturing technology information systems or a related field; equivalent relevant experience may be considered.

• Ability to work full-time and 100% on-site in North Kingstown Rhode Island.

• Experience in a scientific laboratory chemical production manufacturing or similarly technical environment.

• Ability to understand and interpret laboratory and manufacturing data.

• Strong attention to detail documentation organization and problem-solving skills.

• Comfort working with spreadsheets structured data and computer-based systems.

• Working familiarity with artificial intelligence tools and an understanding of responsible use output validation data privacy and appropriate human oversight.

• Ability to work collaboratively with laboratory manufacturing quality and technical teams.

• Experience with LIMS laboratory software ERP systems product data management systems or manufacturing systems.

• Experience with Excel Power Query Power BI SQL Python Microsoft Fabric Power Apps or another analytical programming or low-code tool.

• Experience using generative AI machine learning or AI-assisted analytical tools to support data preparation analysis documentation automation or workflow improvement.

• Experience supporting software implementation system testing data migration master data setup or user training.

• Experience designing repeatable analytical workflows data models or reporting standards.

• Experience in a regulated manufacturing environment.

• Familiarity with laboratory workflows chemical formulations sample tracking specifications quoting planning scheduling or production documentation.

Additional Details

This job has a full time weekly schedule. Applications for this job will be accepted until at least September 24 2026 or until the job is no longer posted.

The full-time equivalent pay range for this position is $58800.00 - $91875.00/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: 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 or contact 1-. For more information about equal employment opportunity protections please visit Required: No

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