The Role As an MSAT Analyst / Senior Analyst, you will apply statistical and analytical ... Collaborate cross-functionally with Sales, Professional Services, Product, and Engineering teams to ...
The Role As an MSAT Analyst / Senior Analyst, you will apply statistical and analytical ... Collaborate cross-functionally with Sales, Professional Services, Product, and Engineering teams to ...
Process Validation Engineer
$70 - $80/hr
This person will partner closely with Manufacturing, Manufacturing Sciences (MSAT), Automation, and ... Provide engineering technical support for assigned process area, specifying equipment and process ...
Quick apply
Process Validation Engineer
$70 - $80/hr
This person will partner closely with Manufacturing, Manufacturing Sciences (MSAT), Automation, and ... Provide engineering technical support for assigned process area, specifying equipment and process ...
Lead cross-functional transformation initiatives across Manufacturing, Quality, MSAT, Supply Chain, Engineering, Facilities, Finance, and support functions to improve safety, quality, delivery, cost ...
Lead cross-functional transformation initiatives across Manufacturing, Quality, MSAT, Supply Chain, Engineering, Facilities, Finance, and support functions to improve safety, quality, delivery, cost ...
Msat Engineer information
See Washington salary details
$67.4K - $82.2K
14% of jobs
$91K is the 25th percentile. Wages below this are outliers.
$82.2K - $96.9K
19% of jobs
$96.9K - $111.7K
12% of jobs
The median wage is $116.8K / yr.
$111.7K - $126.5K
17% of jobs
$126.5K - $141.3K
12% of jobs
$143.8K is the 75th percentile. Wages above this are outliers.
$141.3K - $156K
14% of jobs
$156K - $170.8K
7% of jobs
$170.8K - $185.6K
3% of jobs
$185.6K - $200.4K
0% of jobs
$200.4K - $215.1K
1% of jobs
$215.1K - $229.9K
2% of jobs
$67.4K
$126.4K
$229.9K
How much do msat engineer jobs pay per year?
What are some typical daily tasks for an MSAT Engineer in a pharmaceutical manufacturing setting?
As an MSAT Engineer, your daily tasks may include monitoring ongoing production processes, analyzing data to troubleshoot deviations, and implementing improvements to enhance product yield or quality. You'll regularly collaborate with cross-functional teams—such as QA, R&D, and production—to ensure seamless technology transfer and compliance with regulatory standards. Additionally, you may prepare reports, support validation activities, and contribute to process scale-up or optimization projects. The role offers a dynamic environment with opportunities to drive impactful process improvements and build expertise across multiple areas of the manufacturing process.
What engineers make $300,000 a year?
What are the key skills and qualifications needed to thrive in the Msat Engineer position, and why are they important?
To excel as an MSAT (Manufacturing Science and Technology) Engineer, a strong background in chemical engineering, biotechnology, or a related field is required, often with experience in process development or manufacturing support. Proficiency with process analytical technology (PAT), statistical analysis software (such as JMP or Minitab), and knowledge of GMP regulations and validation procedures are commonly expected. Excellent problem-solving, communication, and team collaboration skills set top candidates apart in this role. These competencies are crucial for ensuring robust process performance, smooth technology transfers, and continuous improvement within pharmaceutical or biomanufacturing environments.
What does an MSAT engineer do?
What is an MSAT Engineer job?
An MSAT (Manufacturing Science and Technology) Engineer focuses on optimizing manufacturing processes in industries like pharmaceuticals, biotech, and chemicals. They work to ensure product quality, scale-up processes, and technology transfers while troubleshooting production issues. MSAT Engineers collaborate with R&D, production, and quality teams to enhance efficiency, compliance, and cost-effectiveness. Their role is critical in maintaining seamless transitions from development to full-scale manufacturing.
What engineers make $500,000 a year?
What engineers make $200,000 a year?

Full-time
Medical, Dental, Vision, Life, Retirement
Re-posted 14 days ago
Job description
Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.
We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.
We empower exceptional people to create extraordinary experiences together. Bring your whole self.
The Team
Medallia's Strategy Analytics Team (MSAT) partners with some of the world's leading brands to help them better understand and improve the experiences they deliver to customers and employees. Through advanced analytics, strategic insight generation, and deep business context, MSAT helps organizations identify the operational and experience drivers that most influence loyalty, retention, growth, and overall business performance.
Our work plays a critical role in helping Medallia customers mature their experience management programs, demonstrate measurable ROI, and drive action from complex data. Internally, MSAT also serves as a strategic analytics partner across Medallia, collaborating with Sales, Product, and Services teams to support customer growth, retention, and innovation.
MSAT operates at the intersection of analytics, business strategy, and customer experience. Team members are exposed to a wide variety of industries, business models, and analytical challenges in a fast-paced environment that values curiosity, rigor, adaptability, and continuous learning.
The Role
As an MSAT Analyst / Senior Analyst, you will apply statistical and analytical methodologies to help leading organizations solve complex customer and employee experience challenges. You will work with large-scale structured and unstructured datasets to uncover meaningful insights, identify operational and behavioral drivers, and support recommendations that help clients improve business performance and realize greater value from their Medallia programs.
In this role, you will partner closely with teammates across MSAT and the broader Medallia organization to deliver rigorous analysis, clear storytelling, and actionable insights for Medallia's customers. You will be expected to manage multiple projects with a high degree of ownership, operate effectively in fast-paced and evolving environments, and demonstrate curiosity and adaptability while building analytical and business expertise across a diverse set of industries and use cases.
Responsibilities
- Apply statistical and analytical methodologies to solve complex business problems using structured and unstructured datasets, ensuring analytical accuracy, methodological rigor, and sound interpretation of results
- Translate quantitative & qualitative findings into clear, structured, and visually compelling presentations tailored to technical and non-technical audiences
- Manage multiple concurrent projects and deliverables with a high degree of ownership, proactively communicating timelines, risks, blockers, and dependencies in fast-paced environments with evolving business needs.
- Collaborate cross-functionally with Sales, Professional Services, Product, and Engineering teams to support client and business needs
- Leverage analytical tools and generative AI technologies to improve workflow efficiency, accelerate insight generation, and support scalable processes while maintaining strong quality standards and analytical judgment
Core Competencies for Success
- Analytical Skills: Strong foundation in statistical analysis and quantitative problem-solving, with the ability to apply appropriate methodologies to complex business questions. Comfortable working with both structured and unstructured data sources, including large-scale behavioral, operational, and text-based feedback datasets. Able to select and apply analytical techniques and interpret results with rigor and sound judgment to generate actionable business insights.
- Verbal & Written Communication: Ability to clearly and effectively communicate complex quantitative and qualitative findings to both technical and non-technical audiences. Skilled at synthesizing analysis into structured narratives, creating clean and visually compelling presentations, and explaining methodologies, results, and key takeaways with clarity and accuracy.
- Project Management: Demonstrated ability to independently manage multiple concurrent projects, prioritize effectively, and deliver high-quality work within established timelines and scoped effort. Proactively identifies risks, dependencies, and blockers, communicates status clearly, and consistently follows through on commitments in a fast-paced, client-driven environment.
- Business Understanding: Ability to quickly build an understanding of client business objectives, organizational dynamics, and operational priorities in order to appropriately contextualize analysis and support practical, business-relevant recommendations. Demonstrates an understanding that analytical insights should ultimately drive measurable business impact and value realization.
Qualifications
Minimum Qualifications
- Experience: Relevant experience applying statistical and analytical techniques to solve business or research problems through data analysis, consulting, academic research, or related analytical environments. Familiarity with methodologies such as regression analysis, hypothesis testing, segmentation, forecasting, machine learning, or other advanced quantitative methods.
- Technical Tools: Experience working in analytical coding environments and cloud-based data ecosystems such as R/RStudio, Jupyter Notebooks, BigQuery, Kubeflow, SQL, and similar tools used for large-scale data analysis and statistical modeling (Python familiarity is a plus)
- Generative AI and Analytical Judgement: Demonstrated ability to leverage generative AI tools to improve analytical efficiency, support coding workflows, and accelerate insight generation, while applying strong critical thinking and technical judgment to validate outputs, identify errors, and ensure analytical accuracy and methodological soundness.
- Education: Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Engineering, Computer Science, Quantitative Social Sciences, Actuarial Science, or a related analytical field (or equivalent practical experience).
Preferred Qualifications
- Master's degree in Statistics, Data Science, Economics, Behavioral Science, Quantitative Social Sciences, Operations Research, or a related analytical field.
- Experience working with customer feedback and operational datasets, including survey, contact center, digital, behavioral, or operational data. Familiarity with how customer experience metrics connect to operational processes and business performance across functions such as customer care, digital experience, or service delivery.
- Exposure to Customer Experience (CX), Employee Experience (EX), Voice of Customer (VoC), or similar customer insights programs. Familiarity with the Medallia platform or related experience management/customer analytics technologies.
Medallia is committed to equal pay and transparency. The annual base salary range for this position is $71,000 - $114,000. This role is bonus eligible. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Medallia considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as, market and business considerations when making compensation decisions.
Medallia also offers competitive health and wellness benefits, including but not limited to medical, dental, vision, 401(k), short-term and long-term disability, life and AD&D insurance, statutory leaves, paid parental leave, and paid holidays. Benefits and eligibility may vary by location and role.
At Medallia, we celebrate diversity and recognize the value it brings to our customers and employees. Medallia is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age (40 and over), disability, genetic information, veteran status or military service, or any other status protected by state or local law. Individuals with a disability who need an accommodation to apply please contact us at ApplicantAccessibility@medallia.com. For information regarding how Medallia collects and uses personal information, please review our Privacy Policies. Applications will be accepted for 30 days from the date this role was posted or until the role has been filled.
About Medallia
Sourced by ZipRecruiter
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
San Mateo, CA, US
Year founded
2001