Avantor

Avantor

Data Analyst

Rensselaer, NY · Contract

Sponsorship not specified$63k-$101kDetected 13 hours ago
SQLSnowflakeData AnalysisData ScienceData VisualizationStatisticsStakeholder ManagementForecastingExcelSAPAuditingOperations ManagementSupply ChainLogisticsProcess ImprovementProcurementERPInventory ManagementMedical DevicesResearchLeadershipCommunicationProblem SolvingAdaptability

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odds of building a lasting career here

15Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.

Lottery odds assume a STEM candidate.

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About the role

  • In this role, you will report to the Territory Area Manager and will work closely with the Avantor's Advanced Laboratory Services professionals to serve our customers by performing customized, mission-based lab work and research protocols that help return time back to science.

Responsibilities

  • Analyze and interpret complex inventory, procurement, and operational data to drive decision-making and improve performance.
  • Develop and maintain Power BI dashboards, automated reports, data models, and KPI tracking tools.
  • Optimize inventory strategies through demand planning, PAR level analysis, replenishment modeling, and excess/obsolete inventory reduction.
  • Lead process improvement efforts by automating reporting, enhancing data quality, and implementing scalable operational solutions.
  • Partner cross-functionally with operations, procurement, quality, finance, IT, and customer stakeholders to translate business needs into actionable insights and decision-support tools.

Requirements

  • High school diploma or GED required.
  • 3+ years of experience in data analytics, business intelligence, inventory management, supply chain, procurement, or related operational environments.
  • Advanced proficiency in Microsoft Excel, including PivotTables, Power Query, complex formulas, and large dataset analysis.

Nice to have

  • Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation.
  • Bachelor's degree in Data Science, Statistics, Business Analytics, Supply Chain, Logistics, Operations Management, or a related field preferred.

Compensation

  • The expected pre-tax pay for this position is
  • $62,500.00 - $100,625.00 Actual pay may differ depending on relevant factors such as prior experience and geographic location.

Benefits

  • Health & Wellness
  • Comprehensive Medical, Dental, and Vision coverage
  • Wellness programs
  • Eligible for medical coverage starting Day 1
  • Paid Time Off (PTO)
  • Flexible Spending Account (FSA) and Health Savings Account (HSA)
  • Commuter benefits
  • 401(k) retirement plan
  • Tuition assistance
  • Employee Stock Purchase Plan discount
  • Equivalent combinations of education and relevant professional experience will be considered.

Company info

  • Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
  • EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor.
  • If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information.
  • We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor.
  • What we're looking for

Equal opportunity

  • Requests for accommodation will be considered on a case-by-case basis.
  • Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
  • EEO Statement:
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This listing is sourced directly from Avantor's careers page and normalized into a canonical job model.