Data Analyst

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design and maintain scalable data pipelines and analytics platforms for semiconductor manufacturing. Analyze large manufacturing datasets to identify trends, improve operational efficiency, and enable smarter operational decisions. Build predictive models, dashboards, reporting tools, and automation solutions, while partnering with process engineers and operations teams to translate factory challenges into data-driven solutions. Support integration across manufacturing systems, MES, and digital applications as the organization advances digitalization, AI, and smart manufacturing.

Location: Philippines

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Entry level

Key Responsibilities

•Design, develop, and maintain scalable data pipelines, databases, and analytics platforms for semiconductor manufacturing operations.
•Analyze large manufacturing datasets to identify trends, improve operational efficiency, and support business decision-making.
•Develop predictive models, dashboards, reporting tools, and automation solutions to enhance factory performance.
•Collaborate with process engineers, operations teams, and stakeholders to translate operational challenges into data-driven solutions.
•Support integration between manufacturing systems, databases, MES platforms, and digital applications, including participation in digitalization, AI, automation, and smart manufacturing initiatives.

Key Requirements

•Bachelor’s degree in Data Science, Computer Science, Software Engineering, Industrial Engineering, Information Technology, or a related field.
•0–3 years of working experience (minimum requirements also mention 2+ years in data analysis, reporting, and predictive modeling).
•Strong knowledge of data engineering, data analytics, or data science.
•Experience with Python and SQL, data visualization tools, and database management.
•Familiarity with machine learning, statistical analysis, or operational analytics (preferred) plus understanding of semiconductor manufacturing and factory operations.

Education:Bachelor's in Data Science, Computer Science, Software Engineering, Industrial Engineering, Information Technology, or related fields

Skills:Analytical thinkingProblem-solvingCommunicationStakeholder engagementLearning agility

Tech Stack:PythonSQLReactAngularNode.js.NETAPIsCloud platformsMESAutomation systemsAI

Company Brief

Texas Instruments

Industry: Electronics Manufacturing

Website

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Texas Instruments

3 weeks ago

Data Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Philippines

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Entry level

Key Responsibilities

•Design, develop, and maintain scalable data pipelines, databases, and analytics platforms for semiconductor manufacturing operations.
•Analyze large manufacturing datasets to identify trends, improve operational efficiency, and support business decision-making.
•Develop predictive models, dashboards, reporting tools, and automation solutions to enhance factory performance.
•Collaborate with process engineers, operations teams, and stakeholders to translate operational challenges into data-driven solutions.
•Support integration between manufacturing systems, databases, MES platforms, and digital applications, including participation in digitalization, AI, automation, and smart manufacturing initiatives.

Key Requirements

•Bachelor’s degree in Data Science, Computer Science, Software Engineering, Industrial Engineering, Information Technology, or a related field.
•0–3 years of working experience (minimum requirements also mention 2+ years in data analysis, reporting, and predictive modeling).
•Strong knowledge of data engineering, data analytics, or data science.
•Experience with Python and SQL, data visualization tools, and database management.
•Familiarity with machine learning, statistical analysis, or operational analytics (preferred) plus understanding of semiconductor manufacturing and factory operations.

Education:Bachelor's in Data Science, Computer Science, Software Engineering, Industrial Engineering, Information Technology, or related fields

Skills:Analytical thinkingProblem-solvingCommunicationStakeholder engagementLearning agility

Tech Stack:PythonSQLReactAngularNode.js.NETAPIsCloud platformsMESAutomation systemsAI

Company Brief

Texas Instruments

Industry: Electronics Manufacturing

Website