Job Description

Company Description

At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet - making us the world's most local agricultural technology and innovation partner.


Website address - https://www.syngentagroup.com/


LI page - https://www.linkedin.com/company/syngentagroup/posts/?feedView=all

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

Qualifications

Required Qualifications

Technical Skills

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

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

Bachelor's degree

in Computer Science, Information Systems, or related field

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

Collaborative mindset

for working with cross-functional teams

Detail-oriented

with focus on data accuracy and quality Ability to work in

agile development

environments

Additional Information

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


https://www.syngentagroup.com/about