Acunor
Analytics Engineering - Manager
San Bruno, CA (Onsite)
Fulltime
- Demonstrate deep expertise in Analytics Engineering, including Data Instrumentation and Tagging QA, leveraging industry-standard platforms, tools, and technologies.
- Hands-on experience with end-to-end tagging instrumentation, collection, storage, and data transformation.
- Core strength in Full-stack Web Development: JavaScript (ES5, ES6, ES2016, and latest versions of ECMAScript), HTML5, CSS3, ReactJS, NodeJS.
- Deep understanding of Web and App frameworks, along with their respective component lifecycles.
- Demonstrate a working knowledge of multithreading, networking, offline storage, and performance tuning.
- Understand the product lifecycle, functional requirements, and UX wireframes.
- Strong ability to bridge understanding between business measurement needs and technical functionality, both pre- and post-product development.
- Experienced in code review, approval, and deployment using industry-standard CI/CD tools and frameworks.
- Excellent communication and collaboration skills, with a strong ability to work as a team player.
Skills:
- Analytics Engineering Leadership
- Enterprise-level data collection and reporting (Adobe Analytics, Google Analytics)
- Tagging QA Automation (ObservePoint)
- Data schema design and maintenance for large-scale data
- Sprint planning and AGILE sprint cycles (JIRA)
- SQL and SQL-based data exploration
- D3 Data Visualization for web-based dashboards
- MS in Computer Science, Computer Engineering, Statistics, Mathematics, or similar STEM degree