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Key Responsibilities and Required Skills for Growth Technician

💰 $75,000 - $115,000

MarketingDataTechnologyGrowth Hacking

🎯 Role Definition

Are you a technical-minded marketer with a passion for data and experimentation? As a Growth Technician, you will be the engine behind our growth initiatives, bridging the gap between marketing, product, and engineering. You are the hands-on expert responsible for implementing, managing, and analyzing the technology and data that fuel our user acquisition, engagement, and retention strategies. This role is perfect for a detail-oriented problem-solver who loves to work with data, optimize systems, and see the direct impact of their work on business growth. You will be instrumental in building a high-tempo testing culture and ensuring our marketing stack is a well-oiled machine.

📈 Career Progression

Typical Career Path

Entry Point From:

  • Marketing Analyst / Data Analyst
  • Digital Marketing Specialist with a technical focus
  • Junior Web Developer or QA Engineer

Advancement To:

  • Growth Manager or Growth Marketing Manager
  • Senior Growth Engineer
  • Product Manager, Growth

Lateral Moves:

  • Marketing Operations Manager
  • Product Analyst
  • Data Engineer

Core Responsibilities

Primary Functions

  • Design, build, and launch A/B, multivariate, and personalization experiments across our web and mobile platforms using tools like Optimizely, VWO, or internal systems.
  • Own the technical implementation of our web and product analytics, ensuring accurate and comprehensive event tracking using tools like Google Tag Manager and Segment.
  • Develop and maintain complex marketing automation workflows and lifecycle campaigns (email, push notifications, in-app messages) in platforms such as Braze, Customer.io, or HubSpot.
  • Write and execute complex SQL queries to extract data, segment users, and perform in-depth analyses on user behavior to uncover actionable growth insights.
  • Build, maintain, and optimize dashboards and reports in data visualization tools (e.g., Tableau, Looker) to monitor key performance indicators (KPIs) and democratize data access for the growth team.
  • Manage and troubleshoot the marketing technology stack, including API integrations between various platforms, ensuring seamless data flow and functionality.
  • Collaborate with engineers to instrument new product features, ensuring that all necessary data points are captured for future growth analysis and experimentation.
  • Act as the technical point of contact for the marketing team, debugging issues with tracking pixels, campaign attribution, and data discrepancies.
  • Implement technical SEO recommendations, including schema markup, site speed optimizations, and log file analysis, to improve organic search performance.
  • Develop and code responsive landing pages for marketing campaigns, focusing on rapid iteration, performance, and conversion rate optimization.
  • Conduct deep-dive data analyses to identify trends, cohorts, and patterns in the user lifecycle, presenting findings and recommendations to stakeholders.
  • Partner closely with Product Managers and Marketers to formulate data-driven hypotheses and define clear success metrics for growth experiments.
  • Manage the integrity and enrichment of user data within our Customer Data Platform (CDP), creating sophisticated audience segments for targeted campaigns.
  • Automate repetitive marketing and data-related tasks using scripting languages like Python or JavaScript to improve team efficiency and scalability.
  • Perform rigorous quality assurance on all tracking implementations and experiments before launch to ensure data accuracy and a flawless user experience.
  • Monitor the performance and health of the entire growth stack, proactively identifying and resolving technical issues before they impact business metrics.
  • Document all technical processes, tracking plans, and experimentation frameworks to create a robust knowledge base for the organization.
  • Support paid acquisition channels by implementing and verifying conversion tracking, optimizing data feeds, and exploring API-based automation opportunities.
  • Ensure all marketing technology and data practices are compliant with privacy regulations such as GDPR and CCPA.
  • Analyze experiment results with statistical rigor, calculating significance and providing clear, unbiased reports on the impact of each test.
  • Translate business requirements from non-technical stakeholders into technical specifications for tracking, tooling, and data infrastructure.

Secondary Functions

  • Support ad-hoc data requests and exploratory data analysis.
  • Contribute to the organization's data strategy and roadmap.
  • Collaborate with business units to translate data needs into engineering requirements.
  • Participate in sprint planning and agile ceremonies within the data engineering team.

Required Skills & Competencies

Hard Skills (Technical)

  • SQL: Advanced proficiency in writing complex queries for data manipulation, segmentation, and analysis.
  • A/B Testing Platforms: Hands-on experience with tools like Optimizely, VWO, Google Optimize, or similar experimentation software.
  • Web Analytics & Tag Management: Expertise in Google Analytics, Amplitude, and Google Tag Manager for implementing and validating tracking.
  • Marketing Automation & CDP: Experience with platforms like Braze, HubSpot, Marketo, or Customer.io, and CDPs like Segment or mParticle.
  • Data Visualization: Ability to build insightful dashboards and reports using tools such as Tableau, Looker, or Power BI.
  • Front-End Technologies: Solid understanding of HTML, CSS, and JavaScript for implementing web experiments and building landing pages.
  • Scripting Languages: Familiarity with Python or R for data analysis, automation, and working with APIs.

Soft Skills

  • Analytical & Quantitative Mindset: A natural ability to think in terms of data, metrics, and statistical significance.
  • Meticulous Attention to Detail: A commitment to precision and accuracy, especially regarding data integrity and tracking.
  • Hypothesis-Driven Problem Solving: The ability to break down ambiguous problems into testable hypotheses.
  • Strong Collaboration: Excellent communication skills for working effectively with marketing, engineering, and product teams.
  • Inherent Curiosity: A strong desire to understand "why" things happen and a passion for continuous learning.
  • Ownership and Accountability: A proactive approach to taking responsibility for projects from conception to completion.

Education & Experience

Educational Background

Minimum Education:

  • Bachelor's Degree in a relevant or quantitative field.

Preferred Education:

  • Master’s Degree in a quantitative field such as Data Science, Statistics, or Computer Science.

Relevant Fields of Study:

  • Computer Science
  • Data Science / Analytics
  • Marketing
  • Statistics

Experience Requirements

Typical Experience Range: 2-5 years in a technical marketing, growth, or analytics role.

Preferred: Direct experience working within a high-growth technology, SaaS, or e-commerce company, with a proven track record of implementing and analyzing growth experiments that drove measurable business impact.

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