Data Product Analyst

Altera Semiconductor • San Jose, CA

1d

About The Position

The Data Product Analyst is responsible for the integrity and effectiveness of the data layer behind product experiences, analytics, and AI-assisted workflows. The role owns the end-to-end quality and usability of data, ensuring it is accurate, clearly defined, and reliable in real-world use. The analyst coordinates with design, program management, and technical teams to ensure data is sourced, structured, and delivered in ways that support trusted outcomes. Although AI tools are used to accelerate analysis and workflows, the analyst remains accountable for validating correctness and performance. This is neither a pure analysis role nor an engineering role; it centers on making data products trustworthy at scale.

The role owns and prioritizes the data product backlog, translates design and workflow needs into precise data requirements, develops an understanding of data structures and relationships across sources, and ensures accuracy and consistency. It also validates data performance, communicates actionable analysis and exceptions to program management and leadership, and bridges product intent, data readiness, and delivered outcomes. The analyst works with technical pipeline and SQL owners while retaining responsibility for definitions, quality acceptance, and trust in the final data product.

Requirements

• Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Engineering, Statistics, or a related field, with 2+ years of equivalent professional experience.
• At least 1 year of experience in data analysis, reporting, business intelligence, data operations, or a related data-focused role.
• At least 1 year of experience using SQL or a comparable data-querying language to retrieve, analyze, or validate data.
• Experience working with at least 2 data sources or datasets, including identifying data relationships, inconsistencies, or quality issues.
• Demonstrated experience communicating data findings, requirements, or recommendations to technical and non-technical stakeholders.

Nice To Haves

• At least 2 years of experience in data analytics, business intelligence, data operations, data quality, or product analytics.
• Experience supporting at least 1 data product, analytics platform, business intelligence application, or data-driven workflow.
• Experience with at least 1 data visualization or reporting platform, such as Power BI, Tableau, Looker, or similar.
• Experience with Python, R, or another scripting or automation language for data analysis or workflow automation.
• Experience using AI or GenAI tools to accelerate data analysis, validation, documentation, or workflow automation while independently validating results.

Responsibilities

• Own the data product backlog by prioritizing sources and domains, defining readiness, and removing blockers to deliver usable, high-quality data.
• Translate design and workflow needs into precise data requirements, including fields, granularity, definitions, and acceptance criteria.
• Build a deep understanding of data structures and relationships across sources, including limitations and edge cases.
• Identify data gaps and inconsistencies and enforce clear, shared definitions across stakeholders.
• Validate that data outputs are timely, reliable, and support decision-making at scale.
• Deliver clear analysis and narratives for Program Management and leadership, focusing on actionable insights and exceptions.
• Use AI tools to accelerate analysis and workflows while applying strict human validation to outputs.
• Coordinate across design, Program Management, and technical teams to align product intent, data readiness, and delivered outcomes.
• Work with technical owners of pipelines and SQL while owning data definitions, quality acceptance, and trust in the final data product.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level