Data Analyst (Semiconductor) at Bosch Group

, Penang, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality Improvement, Data Visualization, Reporting Structure, Database Development, Digitalization Strategy, Tableau, PowerBI, SpotFire, Oracle SQL, Database Structures, AI Integration, Big Data, BOT Programming, MES, OSAT Coordination, Technical Processes

Industry

Software Development

Description

Company Description Bosch in Malaysia is a part of the Bosch Group, a leading global supplier of technology and services. The Bosch Group’s strategic objective is to deliver innovations for a connected life. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life”. Bosch has been present in Malaysia since 1923, represented by Robert Bosch Sdn Bhd. In Malaysia, Bosch is active in four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. The company has three manufacturing sites and research and development offices in Penang, producing automotive electronics, power tools and steering systems, and now a fourth plant with a final testing centre for sensors and semiconductors. PgP5 Plant is Bosch Group’s newest expansion in Malaysia a semiconductor test site in Batu Kawan Penang. The construction has begun in May 2021 and first series of production commenced in 2023. With the long-term forecasts for growth of semiconductor component quantities, coupled with the front-end production in Bosch’s Dresden facility in Germany, capacity expansion is required for the back-end production, which is the final testing phase of semiconductors and sensors. PgP5 will primarily focus on the final testing of components manufactured at Bosch Automotive Electronics’ fab in Dresden, Germany. The plant will also house R&D and training facilities. Job Description As data analyst, you will work on the digitalization of OSAT manufacturing data, improve data quality, develop efficient use cases and extend the visualization for implementation into daily work routines Realize reporting structure of quality relevant data to improve efficiency of usage of available support data Effective visualization of analyzed data to support fast and cost-effective reaction to define counter measures Develop database of quality and process data as Know-how database and product life directory Support the overall digitalization strategy of the department and business unit (BU). Integration of department digitalization into BU strategy and support the “One source of data” strategy Be part of the technical assembly coordination team working with external subcontractor Qualifications University degree (Bachelor/Master) in Information Technology or comparable qualifications Experience as data analyst or posses 3-5 years of similar work experience in the field Semiconductor assembly or semiconductor test background Detailed Know-how on handling databases Familiar with tools like Tableau, PowerBI, SpotFire and Oracle SQL Capability to analyze existing database structures Structured database table definition/creation for reporting and visualization Know-how about AI integration and Big data Basics in BOT programming Know-how Basic Know-how about Electronic Manufacturing Systems (MES) Know-how of OSAT coordination business Advantage to have 1st level Semiconductor assembly background/Know-how Fast understanding of technical processes Documentation skills to assure transparency and efficiency Good communication skills in meetings and intercultural environment Additional Information Benefits: Company Insurances, Transport Allowance, Car Loan Subsidy, Meal Subsidy, EPF, etc. Leave Entitlement e.g. Annual Leave, Medical Leave, etc. Legal Entity: Robert Bosch Semiconductor Penang Sdn Bhd

Responsibilities

The Data Analyst will focus on the digitalization of OSAT manufacturing data, improving data quality, developing efficient use cases, and extending data visualization for daily routines. Responsibilities also include realizing reporting structures for quality-relevant data and developing a know-how database for quality and process information.