Senior Product Analytics Engineer

Renesas Electronics Corporation; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Altium Limited, part of the Renesas Group, is seeking a highly technical Senior Analytics Engineer to own and evolve our end-to-end product analytics platform. This role leads the analytics data lifecycle—from instrumentation in product code through ingestion, storage, transformation, and the presentation of trusted analytics via dashboards and tools.

You will act as the owner of the analytics flow, ensure data accuracy and scalability, and work with software engineers to instrument new

Qualifications

• Strong software and data engineering background.
• Hands-on experience building and operating production analytics platforms.
• Advanced SQL skills.
• Experience designing ETL/ELT and data transformation pipelines.
• Experience with event-based product analytics.
• Understanding analytics instrumentation within web applications, backend services, and distributed systems.
• Experience 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 code to dashboards.
• Ability to work directly with software engineers on analytics-related code.
• Experience with multi-tenant product analytics.

Responsibilities

• Own end-to-end analytics platform ownership.
• Lead product analytics instrumentation.
• Manage data collection and raw data layer.
• Build and operate data pipelines, importers and processing.
• Design analytics data models and metrics.
• Develop analytics presentation layer.
• Ensure data quality and observability across the stack.
• Establish governance for analytics data.
• Collaborate with software engineers to review analytics-related code.

Skills

Advanced SQL

ETL/ELT design

Analytics instrumentation

Data pipelines

BI platforms

Event analytics

Data quality

Distributed systems

Job description

Job Description

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

• 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.

Qualifications

• 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.

Additional Information

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 ofelectronicsdevelopment.

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.