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MarTech Analytics Engineer

Kraken
United States, Canada, Brazil
Full time
$110,000 - $176,000 per year
Remote

Overview

Department

Data Science & Analytics

Job type

Full time

Compensation

$110,000 - $176,000 per year

Location

United States, Canada, Brazil

Company size

Mature [ 50+ employess ]

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Manage, troubleshoot, and optimize the MarTech stack, ensuring accurate data tracking and reporting. Investigate and resolve data discrepancies across analytics platforms and internal data systems.

Requirements

  • 5+ years of experience working with MarTech, AdTech, or analytics platforms
  • Strong understanding of web-based event tracking
  • Hands-on experience with tools such as Google Analytics, Segment, Mixpanel, AppsFlyer, and CDPs
  • Experience troubleshooting ad platform tracking and aggregation-based attribution (like SKAN and MMP)
  • Familiarity with web and mobile attribution methodologies
  • Ability to work with engineering and marketing teams to debug tracking implementations and ensure accurate data collection
  • Strong analytical and problem-solving skills with a keen attention to detail
  • Excellent communication skills to collaborate with vendor technical support, ad platform reps, and internal teams

    • Responsibilities

  • Manage, troubleshoot, and optimize our MarTech stack, ensuring accurate data tracking and reporting
  • Investigate and resolve data discrepancies across analytics platforms (AppsFlyer, Google Analytics, Segment, Mixpanel) and internal data systems
  • Debug inconsistencies in ad platform reporting (Meta, Google Ads, TikTok, and other paid media channels) by collaborating with ad platform representatives and internal stakeholders
  • Diagnose tracking issues related to attribution methodologies, fraud detection, and platform-specific configurations
  • Audit, clean up, and standardize event tracking data, implementing best practices for event naming conventions, data structure, and monitoring
  • Optimize event volume to reduce costs while maintaining data integrity and accuracy
  • Work closely with engineering, marketing, and data teams to refine data pipelines and troubleshoot integrations
  • Ensure smooth data flow between MarTech, analytics, and AdTech platforms, implementing fixes and improvements where needed
  • Stay up to date with industry best practices in tracking methodologies, ad platform attribution models, and privacy regulations (GDPR, CCPA, etc.)
    • Company
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