Decision Analytics Senior Analyst - Quality

Zs Associates; Buenos Aires; Hybrid; ARS 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

ZS Associates in Argentina is seeking a Decision Analytics Senior Analyst to help clients in regulated manufacturing industries improve plant performance through data-driven insights. You will combine manufacturing know‑how with analytics to diagnose performance, size opportunities and build the case for change, collaborating with consultants and client site teams.

Responsibilities include supporting process design and optimization, building models, and facilitating workshops.

Qualifications

• Bachelor’s degree in Chemical, Mechanical, Electronic, Industrial or Bio/Biomedical Engineering, Biotechnology.
• 4–6 years of experience in process engineering, MSAT, production, validation/quality or operational excellence within pharma, biotech or related regulated process industries.
• Working knowledge of cGMP and quality systems and how they affect manufacturing performance.
• Strong quantitative skills and advanced Excel; experience with Power BI/Tableau, SQL, Python or R is a plus.
• Exposure to Lean / Six Sigma tools is a plus.
• Clear, structured written and verbal communication; comfortable presenting findings to client stakeholders.
• Professional fluency in English.

Responsibilities

• Support engagements focused on process design and operational optimization across drug substance and drug product manufacturing.
• Collect, clean and analyze operational data (e.g., OEE, yield, cycle time) to identify losses and opportunities.
• Build analytical models (capacity, throughput, line utilization) and craft client-ready storylines.
• Co-facilitate client workshops and site visits gathering inputs from production, quality, engineering and supply chain.
• Contribute to analyses on tech transfer, scale-up and capacity expansion.
• Work with data from MES, LIMS, QMS, SAP and historians to define KPIs and support digital manufacturing use cases.
• Contribute to practice development through research and reusable tools.

Skills

Quantitative skills

Advanced Excel

Power BI/Tableau

SQL

Python

R

Lean / Six Sigma

Communication

English fluency

Client-focused

Education

Bachelor’s degree in Chemical, Mechanical, Electronic, Industrial or Bio/Biomedical Engineering or Biotechnology

Tools

SAP

MES

LIMS

QMS

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side‑by‑side with a powerful collective of thinkers and experts shaping life‑changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client‑first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life‑changing impact to ZS.

ZS’s SC Manufacturing & Quality group partners with clients to design and deliver solutions that help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem‑solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.

As a Decision Analytics Senior Analyst , you will help clients across regulated and complex manufacturing industries improve plant performance. You will combine hands‑on manufacturing knowledge with data analytics to diagnose performance, size opportunities and build the case for change, working alongside experienced consultants and client site teams.

What you’ll do

• Support consulting engagements focused on process design, operational optimization and performance improvement across drug substance and drug product manufacturing
• Collect, clean and analyze operational and quality data (e.g., OEE, yield, cycle time, right‑first‑time, deviations) to identify losses, bottlenecks and improvement opportunities
• Build analytical models (capacity, throughput, line utilization, cost of quality) and turn results into clear, client-ready storylines and deliverables
• Prepare and co‑facilitate client workshops and site visits, gathering inputs from production, quality, engineering and supply chain teams and synthesizing findings
• Contribute to analyses on tech transfer, scale‑up and capacity expansion options
• Work with data from MES, LIMS, QMS, SAP, historians and automation systems to define KPIs and support digital and smart manufacturing use cases
• Contribute to practice development through research, points of view and reusable tools

What you’ll bring

• Bachelor’s degree in Chemical, Mechanical, Electronic, Industrial or Bio/Biomedical Engineering, Biotechnology,
• 4-6 years of experience in process engineering, MSAT, production, validation/quality or operational excellence within pharma, biotech or related regulated process industries, or in operations consulting with exposure to these industries
• Working knowledge of cGMP and quality systems (deviations, CAPAs, change control) and how they affect manufacturing performance
• Strong quantitative skills and advanced Excel; experience with Power BI/Tableau, SQL, Python or R is a plus
• Exposure to Lean / Six Sigma tools is a plus
• Clear, structured written and verbal communication; comfortable presenting findings to client stakeholders
• Professional fluency in English
• Client‑first mentality, strong ownership and work ethic, collaborative spirit and a problem‑solving approach

How you’ll grow

• Cross‑functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s‑curves, individual contribution and role expansions

Perks & Benefits

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Argentina, visit ZS Argentina office locations | Where we work | ZS.

Hybrid working model

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on‑site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face‑to‑face connections.

Travel

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client‑facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.