KLA
is hiring
Senior Data Analyst, Operations
About Our Company
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.
Job Description & Responsibilities
Work closely with the Quality Analytics team in order to drive improved measurement, issue identification, systemization and management.
- Be go to person for business data analysis and interpretation.
- Translate the user needs, find solutions beyond the simple request by understanding the Processes.
- Build ML model to find "signals" that affect business performance.
- Act as subject leader on service part related data, analysis, reporting, dashboards and ML Models
- Apply multiple data sources to understand customer experience, communicate findings and possible options to wider teams
- Drive efficiencies in the overall spare parts logistics network to enable customer happiness
- Represent the Global Operations Analytics team on all Quality Analytics Related Projects
Requirements
Qualifications
- Strong personal organization skills will be key to success.
- Ability to engage with the business and find solutions to the presented problems.
- Able to bring together the big picture rather than just take requirements.
- Degree in Applied Statistics, Applied Analytics, Data Science or similar is required.
- Demonstrable experience handling and manipulating large data sets
- Strong analytical and statistical experience
- Proficiency in Python and SQL
- Software Applications: MS Excel, Power BI, Snowflake, etc.
- Experience working in the Manufacturing Industry is highly preferred
- Effectively connect with peers, management and multi-functional partners
- Able to work and develop a project in a group environment
- Strong presentation skills
- Ability to come to the office and collaborate in person.
This is a Hybrid Onsite role requiring three (3) days/week onsite and our Ann Arbor, MI HQ
This is a global position, you will interact with people from all over the Globe, including but not limited to: California, Israel, Singapore and Ann Arbor.
Minimum Qualifications
- Bachelor's Degree and six (6) years of relevant experience
What we offer
The company offers a total rewards package that is competitive and comprehensive including but not limited to the following: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.