Back to jobs

Procurement & Sustainability Excellence Data and Systems Specialist

MX - Puebla

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at Lonza

What you’ll work on

Full posting
  • Consolidate and model spend, supplier, contract, savings and sustainability data

  • Build Python models for spend classification, savings forecasting and supplier-risk scoring

  • Create and maintain Power BI dashboards and KPI reporting for procurement leaders

  • Collect, check and report supplier sustainability and ESG data

  • Lead continuous-improvement and automation projects on procurement systems

From the employer’s posting
consolidate and model spend, supplier, contract, savings, and sustainability data
use Python, statistical methods, and predictive modelling for use cases such as spend classification, savings forecasting, supplier-risk scoring
create and maintain intuitive dashboards and KPI reporting in Power BI
enable collection, quality assurance, analysis, and reporting of supplier sustainability data
lead continuous-improvement initiatives that simplify workflows, reduce manual effort

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in data science, Computer Science, IT, Engineering, Statistics, Business Analytics, or a related field.
  • Proven experience in data analytics, BI, data science, systems management, procurement excellence, supply chain, or a similar global environment.
  • Experience building dashboards and reporting in Power BI or similar tools.
  • Familiarity with databases and data-management tools such as SQL, MS Access, MySQL, or comparable technologies.
  • Understanding of advanced-analytics concepts, including predictive analytics, machine learning, automation, AI/GenAI, and large-scale data processing.
  • Ability to explain analytical findings clearly to non-technical audiences and convert insights into practical, prioritized actions.
Qualification wording
Bachelor’s degree in data science, Computer Science, IT, Engineering, Statistics, Business Analytics, or a related field.
Proven experience in data analytics, BI, data science, systems management, procurement excellence, supply chain, or a similar global environment.
Experience building dashboards and reporting in Power BI or similar tools.
Familiarity with databases and data-management tools such as SQL, MS Access, MySQL, or comparable technologies.
Understanding of advanced-analytics concepts, including predictive analytics, machine learning, automation, AI/GenAI, and large-scale data processing.
Ability to explain analytical findings clearly to non-technical audiences and convert insights into practical, prioritized actions.
Education & alternatives
What we are looking for: - Bachelor’s degree in data science, Computer Science, IT, Engineering, Statistics, Business Analytics, or a related field. - Proven experience in data analytics, BI, data science, systems management, procurement excellence, supply chain, or a similar global environment.

Tools in this posting

  • Python
  • SQL
  • MySQL
  • Power BI
  • SAP
Source — Tool mentions in context
- Build the procurement analytics backbone: consolidate and model spend, supplier, contract, savings, and sustainability data; improve data quality, classification, and transparency across systems. - Develop advanced analytics solutions: use Python, statistical methods, and predictive modelling for use cases such as spend classification, savings forecasting, supplier-risk scoring, demand/cost-driver forecasting, and anomaly/maverick-spend detection. - Deliver actionable insights: create and maintain intuitive dashboards and KPI reporting in Power BI to support procurement leadership, category managers, and site teams in timely, evidence-based decisions.
- Proven experience in data analytics, BI, data science, systems management, procurement excellence, supply chain, or a similar global environment. - Strong hands-on expertise in Python, data mining, statistical analysis, and data modelling to turn complex datasets into clear business insights. - Experience building dashboards and reporting in Power BI or similar tools.
- Working knowledge of SAP ERP, SAP BW, ECC, S/4HANA and/or SAP Ariba. - Familiarity with databases and data-management tools such as SQL, MS Access, MySQL, or comparable technologies. - Understanding of advanced-analytics concepts, including predictive analytics, machine learning, automation, AI/GenAI, and large-scale data processing.
- Develop advanced analytics solutions: use Python, statistical methods, and predictive modelling for use cases such as spend classification, savings forecasting, supplier-risk scoring, demand/cost-driver forecasting, and anomaly/maverick-spend detection. - Deliver actionable insights: create and maintain intuitive dashboards and KPI reporting in Power BI to support procurement leadership, category managers, and site teams in timely, evidence-based decisions. - Support sustainable procurement: enable collection, quality assurance, analysis, and reporting of supplier sustainability data, including ESG ratings, certifications, carbon data, and Scope 3–relevant information where required.
- Strong hands-on expertise in Python, data mining, statistical analysis, and data modelling to turn complex datasets into clear business insights. - Experience building dashboards and reporting in Power BI or similar tools. - Working knowledge of SAP ERP, SAP BW, ECC, S/4HANA and/or SAP Ariba.
- Support sustainable procurement: enable collection, quality assurance, analysis, and reporting of supplier sustainability data, including ESG ratings, certifications, carbon data, and Scope 3–relevant information where required. - Drive digital transformation: identify, evaluate, and implement tools and technologies that improve ways of working, including SAP Ariba/SAP S/4HANA capabilities, supplier- and risk-management platforms, automation, AI, and analytics solutions. - Increase process efficiency and automation: lead continuous-improvement initiatives that simplify workflows, reduce manual effort, strengthen compliance, and increase adoption of standardized global processes.
- Experience building dashboards and reporting in Power BI or similar tools. - Working knowledge of SAP ERP, SAP BW, ECC, S/4HANA and/or SAP Ariba. - Familiarity with databases and data-management tools such as SQL, MS Access, MySQL, or comparable technologies.

About Lonza

At Lonza, our people are our greatest strength.

In the employer’s words · Read in context

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 5, 2026 · 16 days ago
Recorded sightings
55
Last seen by us
Oct 21, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on lonza.wd3.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

 

Procurement & Sustainability Excellence, Data and Systems Specialist


Location: Puebla, Mexico.


Join Lonza's Procurement & Sustainability Excellence team and play a key role in driving digital transformation, advanced analytics, and process excellence across our global procurement organization. This position offers the opportunity to shape how data, systems, and technology are leveraged to improve decision-making, strengthen sustainability initiatives, and deliver measurable business impact.


What you will get:


  • An agile career and dynamic working culture.
  • An inclusive and ethical workplace.
  • Compensation programs that recognize high performance.
  • A variety of benefits dependent on role and location.

 

What you will do:

 

  • Build the procurement analytics backbone: consolidate and model spend, supplier, contract, savings, and sustainability data; improve data quality, classification, and transparency across systems.
  • Develop advanced analytics solutions: use Python, statistical methods, and predictive modelling for use cases such as spend classification, savings forecasting, supplier-risk scoring, demand/cost-driver forecasting, and anomaly/maverick-spend detection.
  • Deliver actionable insights: create and maintain intuitive dashboards and KPI reporting in Power BI to support procurement leadership, category managers, and site teams in timely, evidence-based decisions.
  • Support sustainable procurement: enable collection, quality assurance, analysis, and reporting of supplier sustainability data, including ESG ratings, certifications, carbon data, and Scope 3–relevant information where required.
  • Drive digital transformation: identify, evaluate, and implement tools and technologies that improve ways of working, including SAP Ariba/SAP S/4HANA capabilities, supplier- and risk-management platforms, automation, AI, and analytics solutions.
  • Increase process efficiency and automation: lead continuous-improvement initiatives that simplify workflows, reduce manual effort, strengthen compliance, and increase adoption of standardized global processes.
  • Manage global transformation projects: lead or support end-to-end projects on procurement systems, supplier/risk platforms, data governance, reporting, process automation, and analytics capabilities.
  • Partner across functions: act as the bridge between Procurement, Sustainability, IT/Data, Finance, and other stakeholders - translating business needs into scalable data, system, and process solutions.
  • Enable governance and adoption: contribute to procurement policies, procedures, training, testing, change management, and user adoption for new systems, data standards, and ways of working.

 

What we are looking for:

 

  • Bachelor’s degree in data science, Computer Science, IT, Engineering, Statistics, Business Analytics, or a related field.
  • Proven experience in data analytics, BI, data science, systems management, procurement excellence, supply chain, or a similar global environment.
  • Strong hands-on expertise in Python, data mining, statistical analysis, and data modelling to turn complex datasets into clear business insights.
  • Experience building dashboards and reporting in Power BI or similar tools.
  • Working knowledge of SAP ERP, SAP BW, ECC, S/4HANA and/or SAP Ariba.
  • Familiarity with databases and data-management tools such as SQL, MS Access, MySQL, or comparable technologies.
  • Understanding of advanced-analytics concepts, including predictive analytics, machine learning, automation, AI/GenAI, and large-scale data processing.
  • Strong project-management, stakeholder-engagement, communication, and change-management skills, with the confidence to influence across functions and geographies.
  • Ability to explain analytical findings clearly to non-technical audiences and convert insights into practical, prioritized actions.
  • Knowledge of procurement, Source-to-Pay, supply chain, supplier management, or sustainability reporting is an advantage.
  • Exposure to sustainability platforms and frameworks - such as EcoVadis, IntegrityNext, CDP, GHG Protocol Scope 3, CSRD, or supplier ESG data management - is a plus.
  • Fluency in English; additional languages are an advantage.

About Lonza


At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.


Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.


Ready to shape the future of life sciences? Apply now.

 

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

MX - Puebla

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.