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.
Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
Director of Data & Analytics leading data strategy for Reach Financial, enhancing decision - making through a data - driven culture. Guiding a team to innovate and implement scalable data solutions.
Data Scientist creating scalable insights from unstructured data at AI safety company. Collaborating with engineering and research teams in a hybrid Paris location.
Senior Analytics Engineer owning the analytics data platform for parenting technology startup. Requires deep SQL expertise and data pipeline experience in a hybrid role.
Senior Analytics Engineer at Higgsfield AI translating product and finance metrics into data models. Collaborating cross - functionally to ensure consistent, reliable data for decision - making.
Senior Data Analytics Developer for Krux, building data infrastructure for innovative SaaS solutions in mining industry. Collaborating with a self - motivated team to drive company growth.
Lead Risk Analytics Consultant at Wells Fargo focused on model governance and risk management strategies. Collaborate across teams to enhance system stability and mentor junior staff.
Analytics Engineering Lead responsible for building data products at Sanlam Fintech. Overseeing analytics engineering practice modernization and talent development within the organization.
Analytics Engineer foundational technical pillar for Analytics & Data Engineering at Skin + Me, transforming raw data into a strategic engine for growth. Reporting to the Director of Data and optimizing performance across business units.
Senior Analytics Engineer at RB Global designing domain models and leading KPI efforts. Optimizing data performance and mentoring analytics engineers in a hybrid work environment.