Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
Candidates should possess a strong understanding of product analytics principles and methodologies, along with full-stack development experience. Experience with event tracking systems, data warehouses, and SQL is highly desirable, as is familiarity with BI tools and data visualization techniques. A background in engineering or a related technical field is preferred.
As a Product Engineer - Product Analytics, you will be working at the intersection of people and data to expose powerful tools to help engineers, PMs, and everyone else understand how customers are using their products. You will contribute to the development and maintenance of PostHog’s event tracking system, integrating it with our data warehouse and expanding our SQL dialect (HogQL). You will collaborate with the high-scale ingestion pipeline and ClickHouse teams to solve increasing scale challenges and leverage AI to make data insights accessible to users.
Platform for product engineering and data integration
PostHog offers a unified platform that combines tools for product engineering and data integration, helping businesses focus on product development. Its usage-based pricing model decreases costs as clients use the platform more, and it includes a free tier for many users. The platform is adaptable with numerous use cases and is supported by tutorials and guides. Unlike competitors, PostHog does not have a sales team, providing recorded demos and personalized options instead.