Supply Chain Data Analytics Engineer at Clairo

San Pedro Garza García, Nuevo Leon, Mexico

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Supply ChainIndustries

Requirements

Experience in data analytics within supply chain, procurement, logistics, or related fields
Advanced knowledge of statistics, data modeling, and business intelligence
Proficiency in Power BI (including DAX and data modeling), Power Automate, and Python
Strong critical thinking, creativity, and results orientation
Ability to work collaboratively across multidisciplinary and multicultural teams
Excellent communication skills for translating technical insights to business stakeholders
Experience with Agile methodologies and Data Storytelling
Advanced English, Portuguese is desired

Responsibilities

Map, analyze, and document data sources and KPIs related to supplier performance, cost optimization, and procurement cycle times (Sourcing & Procurement)
Develop dashboards and automated reports to monitor sourcing effectiveness, compliance, and risk (Sourcing & Procurement)
Collaborate with procurement teams to harmonize KPI definitions and ensure data consistency across regions and categories (Sourcing & Procurement)
Integrate data from sales, inventory, and operations to support demand forecasting, inventory optimization, and scenario planning (SIOP)
Build and maintain data pipelines that enable real-time visibility into SIOP metrics (SIOP)
Support the SIOP process with advanced analytics, predictive modeling, and simulation tools (SIOP)
Design and implement analytics solutions to track logistics KPIs such as on-time delivery, transportation costs, and warehouse efficiency (Logistics)
Automate logistics reporting and alerting using tools like Power Automate and Python (Logistics)
Ensure data quality and integrity for logistics operations, collaborating with IT and logistics partners (Logistics)
Develop data models and dashboards to monitor order fulfillment, customer satisfaction, and service levels (Customer Fulfillment)
Analyze fulfillment data to identify bottlenecks and drive continuous improvement (Customer Fulfillment)
Support customer-centric initiatives by providing actionable insights from fulfillment data (Customer Fulfillment)
Act as a facilitator between supply chain teams and IT/Data Architecture to align data requirements and solutions (Cross-Functional)
Ensure data governance, integrity, and security across all supply chain analytics initiatives (Cross-Functional)
Communicate technical findings and insights to non-technical stakeholders in a clear, actionable manner (Cross-Functional)
Drive analytics adoption and data literacy within all supply chain functions (Cross-Functional)

Skills

Python

Power Automate

Data Pipelines

Predictive Modeling

Dashboards

Data Modeling

Data Governance

Demand Forecasting

Inventory Optimization

KPI Analysis

Clairo

Generates clinical evidence for trials

About Clairo

Clario specializes in generating clinical evidence for medical research by utilizing a comprehensive technology platform. Their services support various types of clinical trials, including decentralized, hybrid, and site-based trials. Clario's approach combines nearly 50 years of experience with a vast network of facilities across nine countries, allowing them to conduct a significant number of clinical trials and regulatory approvals. What sets Clario apart from competitors is their extensive expertise and the ability to provide a wide range of endpoint technologies, which enhances the quality of evidence produced. The company's goal is to empower partners in the healthcare industry to improve patient outcomes through reliable and rich clinical data.

London, United KingdomHeadquarters

1972Year Founded

$29.9MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Biotechnology, HealthcareIndustries

5,001-10,000Employees

Benefits

Competitive and equitable total rewards package

Physical, mental and financial health and wellness

Flexible working approach

Risks

Increased competition from AI-driven platforms like Medable may threaten Clario's market share.

The IPO filing may lead to investor pressure for rapid financial returns, affecting strategy.

AI integration from ArtiQ poses data privacy and compliance risks, especially in the EU.

Differentiation

Clario offers a comprehensive endpoint technology platform for diverse clinical trial models.

The company has nearly 50 years of experience in clinical trial technology solutions.

Clario's global presence includes 30 facilities across North America, Europe, and Asia Pacific.

Upsides

Clario's IPO aims for a valuation of over $10 billion, indicating strong market confidence.

The FDA clearance of SpiroSphere® with wireless ECG enhances Clario's clinical trial capabilities.

Clario's acquisition of ArtiQ boosts its AI capabilities in respiratory clinical trials.

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