Data Product Analyst

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

Descripción de la vacante

Altera in San Jose, CA is seeking a Data Product Analyst to own the data layer behind our analytics and AI-assisted workflows. You will ensure data is accurate, well-defined, and reliable in real usage, coordinating with design, PM, and engineering to align data readiness with product intent.

You translate requirements into data specs, identify gaps, validate performance, and deliver clear analyses for leadership.

Formación

• 2+ years of data analytics, BI, or data operations experience.
• Experience communicating data findings to technical and non-technical stakeholders.
• Experience with multiple data sources and data relationships.

Responsabilidades

• Own the data product backlog: prioritize sources, define readiness, and remove blockers to deliver usable data.
• Translate design and workflow needs into precise data requirements (fields, granularity, definitions, acceptance criteria).
• Build understanding of data structures across sources, including edge cases and limitations.
• Ensure data accuracy: identify gaps, resolve inconsistencies, and enforce shared definitions.
• Validate data performance in practice to support decisions at scale.
• Deliver clear analysis and narratives for Program Management and leadership.
• Leverage AI tools to accelerate analysis while maintaining human validation.

Conocimientos

Data analysis

Stakeholder communication

SQL querying

Data quality

Data storytelling

Educación

Bachelor's degree in Data Analytics / related field

Herramientas

Power BI

Tableau

Looker

Python

Descripción del empleo

About The Role

We are building an organizational operating system that turns data from multiple sources into trusted product experiences, analytics, and AI-assisted workflows.

Job Details

Job Description

About The Role

We are building an organizational operating system that turns data from multiple sources into trusted product experiences, analytics, and AI-assisted workflows.

As a Data Product Analyst, you are responsible for the integrity and effectiveness of the data layer behind these products. This role requires end-to-end ownership to ensure that data is accurate, well-defined, and performs reliably in real usage. You coordinate across design, program management, and technical teams to make sure the right data is brought in, structured correctly, and consistently delivers trusted outcomes. AI is a key accelerator, but accountability for correctness and performance always remains with you.

This is not a pure analysis role and not an engineering role. You are the owner of data quality and usability

What You Will Do

• Own the data product backlog: prioritize sources/domains, define readiness, and remove blockers to ensure continuous delivery of usable, high-quality data.
• Translate design and workflow needs into precise data requirements (fields, granularity, definitions, acceptance criteria).
• Build deep understanding of data structures and relationships across sources, including limitations and edge cases.
• Ensure data accuracy and consistency: identify gaps, resolve inconsistencies, and enforce clear, shared definitions across stakeholders.
• Validate data performance in practice: ensure 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.
• Leverage AI tools to accelerate analysis and workflows, while maintaining strict human validation of outputs.
• Act as the bridge across design, Program Management, and technical teams, ensuring alignment between product intent, data readiness, and delivered outcomes.
• Work with technical owners of pipelines/SQL while owning definitions, quality acceptance, and trust in the final data product.

Salary Range

The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.

$100,200 - $137,850 USD

We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.

Qualifications

Minimum Qualifications

• 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.
• 1+ year of experience in data analysis, reporting, business intelligence, data operations, or a related data-focused role.
• 1+ year of experience using SQL or a comparable data-querying language to retrieve, analyze, or validate data.
• Experience working with 2+ data sources or datasets, including identifying data relationships, inconsistencies, or quality issues.
• Demonstrated experience communicating data findings, requirements, or recommendations to both technical and non-technical stakeholders.

Preferred Qualifications

• 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/automation language for data analysis or workflow automation.
• Experience using AI/GenAI tools to accelerate data analysis, validation, documentation, or workflow automation while independently validating results.

Job Type

Regular

Shift

Shift 1 (United States of America)

Primary Location

San Jose, California, United States

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.