Acunor
Direct message the job poster from Acunor
Responsibilities:
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. 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) 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 Seniority Level:
Mid-Senior level Employment Type:
Full-time Job Function:
Business Development, Consulting, and Information Technology Industries:
Software Development, IT Services and IT Consulting, and Technology, Information and Media
#J-18808-Ljbffr
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. 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) 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 Seniority Level:
Mid-Senior level Employment Type:
Full-time Job Function:
Business Development, Consulting, and Information Technology Industries:
Software Development, IT Services and IT Consulting, and Technology, Information and Media
#J-18808-Ljbffr