Time since we first saw it
Day 31
Similar jobs usually come down between day 6 and day 48.
At Lonza, jobs usually come down by about day 42.
From 1,474 similar postings that came down, and 50 of Lonza’s. Coming down is not always a hire.
MX - Puebla
Live, first seen by us 31 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s 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
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
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.
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.
At Lonza, our people are our greatest strength.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 31
Similar jobs usually come down between day 6 and day 48.
At Lonza, jobs usually come down by about day 42.
From 1,474 similar postings that came down, and 50 of Lonza’s. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
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New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
What you will do:
What we are looking for:
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.
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MX - Puebla
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