Semiconductor Data Analytics Engineer

Cloud Software Group; Washington (Washington County); On-site; USD 136,000 - 203,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan with company match

Competitive compensation

Job summary

Cloud Software Group is seeking a data-analytic professional with semiconductor industry expertise to unlock insights from manufacturing data using Spotfire and related tools. The role focuses on identifying industry challenges, building analytical applications, and delivering compelling demos to customers and internal teams.

You will collaborate with Field Engineering, Data Science, Marketing, and Product Management to accelerate value realization and expand leadership in visual data science

Qualifications

• BS or higher in engineering, science, or related field.
• At least 5 years as analytics practitioner in Semiconductor manufacturing.
• Strong data management, analysis, and storytelling skills.
• Experience with statistical modeling using Python/R and/or SAS JMP, Minitab, GraphPad Prism, Dataiku, DataRobot.

Responsibilities

• Identify industry problems solvable by visual data science.
• Document required data, visualizations, and analytics to address challenges.
• Build analytical applications to speed problem solving workflows.
• Document best practice context and delivery of demos.
• Enable field teams to use materials to spark customer interest.
• Present solutions and business value at industry events.
• Create collateral describing business value and unique capabilities.

Skills

Data management

Data analysis

Data storytelling

Statistical modeling

Python/R

SAS JMP

Minitab

GraphPad Prism

Dataiku

DataRobot

Spotfire

Semiconductor industry knowledge

Education

Engineering or science BS

Tools

Spotfire

SAS JMP

Minitab

GraphPad Prism

Dataiku

DataRobot

Job description

Cloud Software Group is seeking a data-analytic professional with semiconductor industry expertise to unlock insights from manufacturing data using Spotfire and related tools. The role focuses on identifying industry challenges, building analytical applications, and delivering compelling demos to customers and internal teams.

You will collaborate with Field Engineering, Data Science, Marketing, and Product Management to accelerate value realization and expand leadership in visual data science