Position Summary
Support the implementation and optimization of data science initiatives and Workday Prism analytics projects within Syngenta's HR organization. Build robust data pipelines, ensure data quality, and enable advanced analytics capabilities to drive data-driven HR decision making.
Key Responsibilities
Data Pipeline Development
- Design, build, and maintain scalable data pipelines for HR analytics and reporting
- Develop ETL/ELT processes to integrate data from Workday and other HR systems
- Implement data transformation logic to support analytics and machine learning models
- Ensure data pipeline reliability, performance, and monitoring
Workday Prism Implementation
- Configure and optimize Workday Prism Analytics for advanced HR reporting
- Build data connections between Workday HCM and external data sources
- Develop custom data models and calculated fields within Prism
- Support report and dashboard development using Prism capabilities
Data Science Project Support
- Prepare and engineer features for HR data science models (predictive analytics, workforce planning)
- Implement data preprocessing workflows for machine learning initiatives
- Build automated data validation and quality checks for model inputs
- Support model deployment and monitoring infrastructure
Data Quality & Governance
- Implement data quality frameworks and automated validation processes
- Ensure compliance with data governance policies and standards
- Document data lineage and maintain data dictionaries
- Support data stewardship activities and resolve data quality issues
Required Qualifications
Technical Skills
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3+ years’ experience in data engineering or similar role
- Proficiency in SQL and database management (preferably with cloud platforms)
- Experience with ETL/ELT tools (Informatica, Talend, or similar)
- Knowledge of programming languages (Python, R, or Java)
- Familiarity with cloud platforms (AWS, Azure, or GCP)
HR Systems Experience
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Workday experience (HCM, Reporting, or Prism Analytics preferred)
- Understanding of HR data structures and employee lifecycle data
- Experience with HRIS integrations and data flows
- Knowledge of HR metrics and KPIs
Data & Analytics
- Understanding of data modeling concepts and best practices
- Experience with data warehousing and dimensional modeling
- Basic knowledge of machine learning workflows and model deployment
- Familiarity with business intelligence tools (Tableau, Power BI, or similar)
Preferred Qualifications
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Bachelor's degree in Computer Science, Information Systems, or related field
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Workday Prism Analytics certification or willingness to obtain
- Experience with Apache Spark, Kafka, or other big data technologies
- Knowledge of DevOps practices and CI/CD pipelines
- Previous experience in pharmaceutical, agricultural, or regulated industries
Soft Skills
- Strong problem-solving and analytical thinking abilities
- Excellent communication skills for technical and business stakeholders
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Collaborative mindset for working with cross-functional teams
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Detail-oriented with focus on data accuracy and quality
- Ability to work in agile development environments
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status
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