Renesas Electronics

Senior Product Analytics Engineer

La Jolla, CA, United States · Hybrid · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerRenesas Electronics
LocationLa Jolla, CA, 92037, United States
Work styleHybrid
Employment typeFull-time
Employer posted1 month ago

We are looking for a highly technical Senior Analytics Engineer to own and evolve our end-to-end product analytics platform.

This role is responsible for the complete analytics data lifecycle — starting with analytics instrumentation embedded in product source code, through event collection and ingestion, raw data storage, transformation and aggregation pipelines, and ultimately the presentation of trusted analytics through dashboards, reports, and analytical tools.

The successful candidate will act as the owner of the analytics flow, ensuring that analytics data is accurate, reliable, scalable, well-defined, and usable across the organization.

This is not primarily a dashboard-building or reporting role. It is an engineering-focused position responsible for the architecture, implementation, operation, and continuous improvement of the analytics platform.

Key Responsibilities

Show full description

End-to-End Analytics Platform Ownership
Product Analytics Instrumentation
Data Collection and Raw Data Layer
Data Pipelines, Importers, and Processing
Analytics Data Models and Metrics
Analytics Presentation Layer
Data Quality and Observability
Analytics Governance

Expected Outcomes

The successful candidate will establish a clear and reliable analytics platform where:

Product teams have a standardized way to instrument new functionality.
Analytics events are consistently defined and documented.
Data reliably reaches the analytics platform from production systems.
Raw data remains available for investigation and reprocessing.
Transformations and aggregations are automated and maintainable.
Important metrics have clear and consistent definitions.
Data quality issues are detected proactively rather than discovered through incorrect dashboards.
Business and product teams can confidently use analytics tools for decision-making.
Every important metric can be traced back to its underlying product events and data sources.
The analytics platform has clear technical ownership.

Strong software engineering and data engineering background.
Hands-on experience building and operating production analytics or data platforms.
Advanced SQL skills.
Experience designing ETL/ELT and data transformation pipelines.
Experience with event-based product analytics.
Understanding of analytics instrumentation within web applications, backend services, and distributed systems.
Experience working with data lakes, data warehouses, or lakehouse architectures.
Experience designing analytical data models and aggregation pipelines.
Experience with BI and analytics visualization platforms.
Strong understanding of data quality, lineage, observability, and governance.
Ability to troubleshoot data issues across multiple layers — from application source code to the final dashboard.
Ability to work directly with software engineers and review or contribute to analytics-related application code.
Experience with multi-tenant product analytics.

Altium Limited, a part of the Renesas Group and headquartered in San Diego, California, is a global software company accelerating the pace of electronics innovation. We are redefining electronic product creation in a software-defined world with our industry-first cloud-based platform that unites every stakeholder and phase of electronics development.

From startups to world’s technology giants, our digital platforms give more power to PCB designers, supply chain, and manufacturing, letting them collaborate as never before. At Altium, our teams are empowered to innovate, collaborate globally, and help create the future of electronics development.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

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