Marketing Technology Engineer

About the Role

Haystek Technologies is seeking a Marketing Technology Engineer to manage the technology backbone that supports our digital marketing efforts. This position serves as a bridge between Marketing, Product, and Engineering teams by ensuring that customer interactions are accurately tracked, marketing platforms are fully integrated, and data flows efficiently throughout our technology ecosystems.

The role involves implementing and maintaining website tracking systems, integrating marketing automation tools, collecting customer data, managing analytics infrastructure, and ensuring reliable attribution. The work done will improve decision-making processes, enhance campaign effectiveness, and lay the groundwork for AI-driven marketing and personalized experiences.

Key Responsibilities

• Implement and maintain Google Analytics 4 (GA4) on multiple websites.
• Design, deploy, and verify accurate event tracking for new website features.
• Manage Google Tag Manager setups including tags, triggers, variables, and Data Layer configurations.
• Ensure precise conversion tracking across various marketing channels.
• Maintain standardized event naming conventions and document tracking implementations.
• Monitor tracking systems continuously and proactively resolve data collection problems.
• Administer and optimize marketing technology tools and their integrations.
• Support marketing automation platforms and customer engagement tools.
• Configure tracking for email campaigns, paid ads, and landing pages.
• Manage audience segmentation and CRM data integration.
• Collaborate with engineering teams to fulfill new tracking requirements.
• Integrate marketing platforms with CRM and internal systems for seamless data flow.
• Validate and troubleshoot data transferred between websites, analytics platforms, and business systems.
• Create automated reporting datasets using SQL and BigQuery.
• Maintain data quality across marketing and customer platforms.
• Manage attribution models and uphold campaign tracking standards.
• Analyze customer journeys, traffic sources, and conversion funnels for insights.
• Support A/B testing efforts ensuring accurate experiment tracking.
• Provide campaign performance insights and measure marketing ROI.
• Construct data foundations to support AI-driven personalization and customer segmentation initiatives.
• Collaborate with AI and engineering teams on personalization strategies and machine learning data needs.

Technologies and Tools

• Google Analytics 4 (GA4)
• Google Tag Manager
• BigQuery
• Looker Studio
• SQL
• Google Search Console
• Marketing automation platforms like Braze, Act-On
• Google Ads, Meta Ads, LinkedIn Ads
• REST APIs
• JavaScript, HTML, CSS
• Data Layer implementation techniques

Required Qualifications

• 2 to 5 years of experience in marketing technology, digital analytics, or marketing operations.
• Proficient with Google Analytics 4 and Google Tag Manager management.
• Strong SQL capabilities and experience with BI tools such as Looker Studio.
• Good understanding of marketing attribution models and UTM strategies.
• Proven ability to implement website tracking and troubleshoot tracking/reporting issues.
• Ability to collaborate effectively with developers for technical tracking implementations.

Preferred Skills

• Hands-on experience with BigQuery.
• JavaScript proficiency.
• Experience integrating CRM with marketing platforms and familiarity with Customer Data Platforms (CDPs).
• Knowledge of server-side tagging, cookie consent frameworks, and APIs/webhooks.
• Exposure to A/B testing procedures and personalization platforms.
• Experience working in cloud computing environments.

Success Measures

• Establish dependable and accurate tracking systems across all digital assets.
• Increase confidence and clarity in marketing attribution and reporting.
• Reduce discrepancies between marketing channels and CRM data.
• Develop scalable standards for tracking in future product developments.
• Enable improved audience targeting and personalized marketing experiences.
• Support marketing teams with reliable and insightful campaign metrics.
• Create a solid data infrastructure for AI-enabled customer engagement.
• Foster collaboration between Marketing, Product, and Engineering departments.