Data Product Lead: Trusted Data & AI Workflows

Altera Corporation; San Jose (CA); Presencial; USD 100.000 - 138.000; Jornada completa

Descripción de la vacante

Altera Corporation in San Jose, CA is hiring a Data Product Analyst to own the data layer behind our analytics and AI-assisted workflows. You will coordinate with design, program management, and technical teams to ensure data is well-defined, accurate, and scalable across sources.

Accountability for data quality rests with you, not just analysis. You will translate workflow needs into data requirements, validate performance, and deliver clear narratives to leadership.

Formación

• Bachelor's degree in data analytics or related field.
• 2+ years of professional experience.
• 1+ year of data analysis, reporting, BI, or data operations experience.
• 1+ year of experience using SQL to retrieve or validate data.

Responsabilidades

• Own the data product backlog and prioritize sources and readiness.
• Translate design/workflow needs into precise data requirements.
• Build understanding of data structures across sources and limitations.
• Ensure data accuracy, resolve gaps, and enforce clear definitions.
• Validate data performance and ensure timely, reliable outputs for decisions.
• Deliver analysis narratives for PM and leadership with actionable insights.
• Leverage AI tools to accelerate analysis while validating outputs.
• Bridge design, PM, and technical teams for alignment on data readiness.

Conocimientos

SQL

Data analysis

Stakeholder communication

AI/GenAI tools

Educación

Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Engineering, Statistics, or a related field

2+ years of equivalent professional experience

Herramientas

Power BI

Tableau

Looker

Python

R

Descripción del empleo

Altera Corporation in San Jose, CA is hiring a Data Product Analyst to own the data layer behind our analytics and AI-assisted workflows. You will coordinate with design, program management, and technical teams to ensure data is well-defined, accurate, and scalable across sources.

Accountability for data quality rests with you, not just analysis. You will translate workflow needs into data requirements, validate performance, and deliver clear narratives to leadership.