Quality System Data Scientist (all genders)
Villach, AT
Lam Research
The Impact You’ll Make
We are seeking a highly skilled and detail-oriented Data Analyst to join our Quality team. The successful candidate will be responsible for analyzing the Quality Management System (QMS) with focus on the Install Base performance data, creating reports, and providing insights to support decision-making processes. This role requires a strong analytical mindset, proficiency in data analysis tools, and the ability to work collaboratively with various functions at Lam’s worldwide locations.
What You’ll Do
- Collect, analyse, and interpret Install Base data, such as Quality and Installation & Warranty data (I&W)
- Identify trends, patterns, and anomalies
- Develop and maintain reports and dashboards to support business operations
- Collaborate with stakeholder functions to understand data needs and provide actionable insights
- Ensure data accuracy and integrity by performing regular data validations and business reviews
- Support ad-hoc data analysis requests and provide timely and accurate information to stakeholders
- Participate in the improvement projects and adopt changes of source data structure & systems
- Actively representing the Clean Product Line in the Digital Transformation Program (DT) for data management and system transformation in quality and I&W
Who We’re Looking For
- Bachelor’s degree in technology, Economics, Data Science, or a related field.
- Proven experience as a Data Analyst
- Strong proficiency in data analysis tools such as Power BI
- Excellent analytical and problem-solving skills
- Strong attention to detail and accuracy
- Ability to work independently and as part of a team
- Effective communication skills, both written and verbal
- Business Process and Management Systems background
- Knowledge of data governance and data management principles is a plus
Preferred Qualifications
- Experience with advanced data analysis techniques and tools
- Fundamental understanding and experience in quality management systems (QMS)
- Familiarity with product performance and financial modelling
- Technical background on Semiconductor Equipment
- Project management capabilities, leadership skills
- Experience in Quality methods like 8D
- Quality certifications such as Six Sigma Black Belt is a plus
- Fluent English is a must, German language skills are beneficial
What We're Offering
This position is subject to the Austrian Collective Bargaining Agreement (CBA) for Employees in the Metal Technology Industry in occupation group F. A higher payment is negotiable depending on expertise and skills. Please follow the link below in the Employment in Austria section for further information.
Villach - a great place to live and work
Follow the link www.welcome2villach.at and you will find on the spot the most important information about living, working and studying in and around Villach/Austria.
Our Commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data governance Data management Economics Power BI Research
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