Senior Analytics Engineer designing scalable data models and optimizing data pipelines at Klar. Collaborating with cross - functional teams to ensure data quality and mentorship of business analysts.
About the role
- Lead Digital Analytics Engineer driving modernization of site analytics and data layer for multi-brand ecommerce. Architecting a unified measurement foundation and collaborating with various stakeholders across the organization.
Responsibilities
- Drive the modernization of site analytics, tagging infrastructure, and data layer across a multi-brand ecommerce ecosystem
- Architect and deploy a consistent data layer, consolidate multiple tag management systems, lead the implementation of a new analytics platform, and establish ongoing data quality monitoring and governance
- Design a unified, scalable data layer schema that supports multiple brands, experiences, and business needs
- Audit and evaluate current data layer implementations; define a clear plan to migrate to a consistent model
- Document event naming standards, business logic, and instrumentation requirements
- Partner with engineering to ensure accurate, performant implementation across platforms
- Consolidate and rationalize multiple tag management systems into a single, clean, governed environment
- Audit existing tags, triggers, variables, and scripts; remove redundancies and resolve conflicts
- Validate that data collection is accurate, complete, and aligned with KPIs and reporting needs
- Build automated QA workflows and monitoring systems
Requirements
- 6–10+ years in digital analytics engineering, tag management, or web data collection roles
- Expertise in digital analytics & tag management — strong hands-on experience with GTM, Tealium, or Adobe Launch
- Data layer architecture & engineering skills — ability to design and implement scalable schemas across complex ecosystems
- Strong JavaScript & debugging skills — comfortable writing custom logic, troubleshooting issues, and validating data in DevTools
- Analytics implementation experience — deploying, configuring, and validating GA4, Adobe Analytics, Amplitude, Mixpanel, or similar tools
- Data quality & monitoring capabilities — familiarity with automated auditing tools and governance frameworks
- Understanding of privacy, consent management, and data governance best practices
- Excellent communication skills and the ability to influence across teams without direct authority.
Benefits
- Flexible working options with generous time off
- Competitive benefits and compensation packages
Job title
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Not specified
Degree requirement
Location requirements
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