Manufacturing Data Analyst

Coherent • Easton, PA

3d • Onsite

About The Position

The Manufacturing Data Analyst will be a member of the Coherent SiC Data Systems Team, which provides data and software solutions to support next-generation semiconductor (SiC) manufacturing at all Coherent sites world-wide. The focus of this role is to build automated reports on key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time, from multiple data sources. A successful candidate would be a resourceful individual, a fast learner with a strong background in complex data structure, data mining, data analysis, data visualization, as well as a sound understanding of key manufacturing concepts. The ability to work both independently and within a team, as well as strong communication skill are indispensable for the role. Job location is on-site in Easton, PA or Pine Brook, NJ, with on-demand travelling between sites. Due to ITAR compliance, this position requires candidates to be a U.S. Citizen, Permanent Resident Alien, or Protected Individual per 8 U.S.C. 1324b(a)(3).

Requirements

• A bachelor’s degree in statistics, computer science, software engineering, physics, materials science, mathematics, or similar STEM field.
• 5 years’ experience in data analytics in semiconductor, materials, or a related industry; or demonstratable equivalent abilities.
• Candidates with varied experience may apply, who will be considered for commensurately varied job levels.
• Due to ITAR compliance, this position requires candidates to be a U.S. Citizen, Permanent Resident Alien, or Protected Individual per 8 U.S.C. 1324b(a)(3).
• Strong technical skills in SQL queries.
• Demonstrated knowledge of common data sources, such as SQL databases and Apache Parquet.
• Modelling and analysis of complex and imperfect real-world data.
• Data visualization in Power BI, Tableau, or a similar platform.
• Sound understanding of fundamental concepts in statistics.
• Ability to learn new concepts and skills fast.
• Excellent interpersonal and communication skills.
• Ability to align technical strategies to business objectives.

Nice To Haves

• Knowledge in manufacturing, materials science, or natural sciences would be a plus.

Responsibilities

• Develop models to derive real-time key manufacturing metrics, such as yield, throughput, WIP stock, and cycle time.
• Sources of complex real-world data include both in-house databases and commercial enterprise platforms, such manufacturing execution system (MES) and enterprise resource planning (ERP).
• Build automated reports on commercial platforms such as Microsoft Power BI and JMP Live.
• Conduct on-demand data analysis and visualization to fulfill dynamic business needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees