ML and AI Reporting & Analytics Senior Analyst

Zimmer GmbH; Bogotá, Distrito Capital; Presencial; COP 148.420.000 - 195.290.000; Jornada completa

Descripción de la vacante

A leading multinational corporation is seeking a Senior Analyst for Global Supply Chain Reporting and Analytics in Bogotá. The role involves designing and deploying machine learning models to enhance business reporting and strategic decision-making. Ideal candidates will possess strong technical skills in data engineering and analytics, along with a Bachelor's or Master's degree in a related field and a minimum of 3 years of experience in supply chain processes. Proficiency in machine learning frameworks and programming languages is essential.

Formación

• Minimum 3 years of end-to-end supply chain knowledge.
• Experience with managing complex ETL processes.
• Ability to translate complex data into clear insights.

Responsabilidades

• Design and implement scalable machine learning models.
• Develop and optimize data pipelines for analytics.
• Collaborate with teams to align ML solutions with business needs.
• Create dashboards and reports to communicate insights.
• Monitor and maintain deployed models.

Conocimientos

Machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Programming languages (Python, R)

Data processing tools (Spark, SQL)

Statistics

Data analysis

Feature engineering

Problem-solving

Communication

Collaboration skills

English fluency

Educación

Bachelor’s or Master’s degree in computer science, Engineering, Statistics, or a related field

Herramientas

ERP systems

Descripción del empleo

What You Can Expect

The Global Supply Chain Reporting and Analytics Senior Analyst is responsible for designing, developing, and deploying advanced machine learning models and data-driven solutions to enhance business reporting, generate actionable insights, and support strategic decision-making. This role sits at the intersection of data engineering, analytics, and software development, requiring both deep technical expertise and strong collaboration skills.

How You'll Create Impact

• Design and implement scalable machine learning models and algorithms to solve complex business problems, such as predictive analytics, anomaly detection, and automated reporting.
• Develop and optimize data pipelines to ingest, preprocess, and transform large, complex datasets for analytics and ML model training.
• Build, test, and deploy models in production environments, ensuring reliability and scalability for real-world applications.
• Collaborate closely with data scientists, analysts, engineers, and business stakeholders to align ML solutions with business objectives and reporting needs.
• Create dashboards, reports, and visualization tools to communicate insights and model results to technical and non-technical audiences.
• Monitor, retrain, and maintain deployed models, addressing data drift, performance issues, and evolving business requirements.
• Stay current with advancements in machine learning, analytics, and reporting technologies, and proactively apply innovative approaches to drive business value

This is not an exhaustive list of duties or functions and might not necessarily comprise all of the essential functions for purposes of the Americans with Disabilities Act.

What Makes You Stand Out

• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), programming languages (Python, R), and data processing tools (Spark, SQL).
• Strong foundation in statistics, data analysis, and feature engineering.
• Experience with building and maintaining ETL processes, data pipelines, and cloud-based data architectures.
• Ability to translate complex data and model outputs into clear, actionable business insights and reports.
• Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
• Ability to communicate upwards and across the organization
• Ability to read, write and speak English fluently.

Education and Experience

• Bachelor’s or Master’s degree in computer science, Engineering, Statistics, or a related quantitative field
• Minimum 3 years of end-to-end supply chain knowledge
• Experience with one or more ERP systems preferred
• Ability to manage complex ETL (extract, transform, load) processes

Travel Expectations

• Up to 10%

EOE/M/F/Vet/Disability