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HI

Lead Analytics Engineer

Han IT Staffing
🇮🇱 Israel
On-site
Staff / Principal
8 months ago
  • Mixpanel
  • DV360
  • Identity Management
  • Node.js
  • PHP
  • React.js
  • AWS
  • GCP
8 months ago
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Role:Lead Analytics Engineer
Location: Chicago, IL - Onsite
Job requirements:We are looking for a Lead Analytics Engineer with strong experience in clickstream, event instrumentation, and digital analytics implementation to build and scale customer behavior tracking across web and app platforms. This role focuses on designing robust event schemas, CDP integrations, and activation pipelines using mParticle, Mixpanel, and paid media ecosystems.
Key Responsibilities
  • Leadclickstream and event tracking implementation across web and digital touchpoints.
  • Design and manageevent schemas, identity resolution, and data quality within mParticle/Mixpanel.
  • Partner with product, CX, and analytics teams to translate business requirements into scalable tracking solutions.
  • Enablefunnel analysis, conversion tracking, and end-to-end customer journey measurement.
  • Build and activatepaid media audiences via CDP integrations (Meta, Google, TikTok, DV360).
  • Troubleshoot tracking, SDK, API, and data discrepancies; enforce tagging and governance best practices.
  • Provide technical leadership, code reviews, and documentation for analytics implementations.
Qualifications
  • 6–10 years in analytics engineering, MarTech, or digital analytics implementation.
  • Strong hands-on experience withclickstream data, event instrumentation, and CDPs (mParticle, Mixpanel).
  • Experience with SDKs, tagging frameworks, identity management, and data contracts.
  • Working knowledge ofNode.js or PHP (Laravel); basic React understanding preferred.
  • Familiarity with cloud platforms (AWS/GCP) and modern deployment practices.
  • Experience with paid media audience activation and MarTech integrations.
  • Strong problem-solving skills and ability to lead cross-functional analytics initiatives.
  • Education
  • Bachelor's or Master's Degree in Engineering, Computer Science, Information Systems, Mathematics, or related discipline.

Lead Analytics Engineer · Han IT Staffing

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