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PM Data Analyst
AI in this role
PM Data Analyst
Location: San Jose, Costa Rica
Join a critical platform-level role that helps shape strategic decision-making across Lonza's Cell & Gene Therapy (CGT) and mRNA operations. This position combines financial analytics, KPI reporting, governance, and process improvement to ensure leaders have the accurate insights needed to drive business performance and operational excellence.
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:
Deliver platform-level financial analyses and reporting, ensuring accuracy and consistency across revenue outlooks, revenue recognition, WBS structures, work-in-progress (WIP), and deferred balances.
Prepare, analyze, and present KPI reporting for site and platform reviews to support performance management and informed decision-making.
Support target-setting and Business Review (BSR) processes through robust data analysis, scenario modelling, and clear communication of risks, assumptions, and opportunities.
Maintain aligned views of risks and opportunities across CGT and mRNA sites, ensuring clear linkage to financial performance and business impact.
Improve scope governance by supporting reporting, data quality, and continuous enhancement of tools, trackers, and processes used to manage scope changes.
Design and implement automation solutions, dashboards, and analytical tools that increase reporting efficiency, strengthen data integrity, and improve business insights.
Partner closely with Program Management, Finance, Commercial Development, Proposals, and Operations teams to drive consistent data governance and platform-wide standardization.
What we are looking for:
Bachelor's degree in Finance, Business Administration, Data Analytics, or a related discipline.
Experience in financial analytics, program management analytics, portfolio management, project controlling, or a related analytical function.
Strong expertise in financial reporting, KPI analysis, business performance management, and data-driven decision support.
Advanced Excel and Power BI development skills, with the ability to create impactful dashboards and visualizations.
Experience using automation tools and process improvement techniques to streamline reporting and enhance data quality.
Proven ability to work effectively in complex, matrixed, and highly regulated environments, managing multiple stakeholders and priorities.
Experience within Life Sciences, Biopharma, Manufacturing, or Capital Project environments is preferred.
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.
How we rate this
PM Data Analyst at Lonza rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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