Growth Technology Associate Channel Operations / Marketing Technology Analyst

Charlotte, NC, US • Posted 7 hours ago • Updated 4 hours ago
Contract W2
6 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • SQL
  • Google BigQuery
  • BigQuery
  • Marketing Technology
  • MarTech
  • Growth Technology
  • Channel Operations
  • Marketing Operations
  • Campaign Operations
  • Paid Marketing
  • Paid Media
  • Performance Marketing
  • Audience Segmentation
  • Audience Activation
  • Audience Management
  • Customer Data Platform
  • CDP
  • Segment CDP
  • LiveRamp
  • Google Customer Match
  • Meta Custom Audiences
  • Google Ads
  • YouTube Ads
  • Meta Ads
  • Facebook Ads
  • TikTok Ads
  • Snapchat Ads
  • DSP
  • Mobile DSP
  • Conversion Tracking
  • Conversion APIs
  • Audience APIs
  • Attribution
  • Marketing Attribution
  • Campaign Optimization
  • Campaign Measurement
  • Marketing Analytics
  • Data Analytics
  • Data Engineering
  • Data Pipelines
  • Data Warehouse
  • Conversion Optimization
  • Mobile Measurement Platform
  • Branch.io
  • Kochava
  • Google Tag Manager
  • GTM
  • Server Side Tagging
  • Tracking Implementation
  • Campaign Setup
  • Link Tracking
  • User Acquisition
  • Customer Acquisition
  • Cross-Channel Attribution
  • Funnel Analytics
  • Full Funnel Marketing
  • Data Validation
  • Data Quality
  • Data Reconciliation
  • Troubleshooting
  • Marketing Data Analysis
  • Stakeholder Management
  • Cross-Functional Collaboration
  • Business Intelligence
  • BI
  • Technical Documentation
  • Process Improvement
  • Project Management
  • Quantitative Analysis
  • JSON
  • Audience Build
  • Audience QA
  • Conversion Signals
  • Marketing Automation
  • Campaign Performance Analysis

Summary

Growth Technology Associate Channel Operations / Marketing Technology Analyst

Job Description

Overview

We are seeking a highly analytical and technically skilled Growth Technology Associate Channel Operations to support and optimize paid marketing initiatives across multiple digital channels. This role sits at the intersection of marketing, data engineering, and marketing technology, helping drive audience activation, conversion tracking, attribution, and campaign performance through data-driven solutions.

The ideal candidate has strong SQL expertise, hands-on experience with paid media platforms, audience segmentation, conversion tracking, and marketing analytics. You will collaborate closely with Growth Marketing, Analytics, Engineering, and Business Intelligence teams to ensure data accuracy, campaign scalability, and operational excellence.


Key Responsibilities

<>Data & Audience Engineering
  • Develop, optimize, and maintain SQL queries in Google BigQuery to create, transform, and manage marketing audiences.
  • Translate marketing targeting requirements into scalable and reproducible audience logic.
  • Build, validate, and QA audience segments before activation across paid media platforms.
  • Manage audience and conversion data pipelines from data warehouse to activation platforms.
  • Create SQL-based monitoring, validation, and diagnostic checks for audience quality, campaign tracking, attribution, and performance measurement.
  • Ensure data accuracy, freshness, and completeness across marketing technology systems.
<>Marketing Technology & Operations
  • Support technical implementation, integration, and troubleshooting across paid marketing channels.
  • Diagnose tracking, attribution, and data-quality issues including click tracking gaps, missing identifiers, and cross-platform discrepancies.
  • Manage audience activation and conversion tracking processes for paid campaigns.
  • Configure and validate campaign links, tracking parameters, and conversion events.
<>Channel Operations & Campaign Support
  • Lead technical onboarding and integration of new marketing channels and platforms.
  • Enable audience targeting and conversion signal delivery to improve campaign performance.
  • Analyze campaign performance and identify optimization opportunities through data insights.
  • Support paid media initiatives across platforms including Search, Social, Video, and DSP ecosystems.
<>Cross-Functional Collaboration
  • Partner with Marketing, Analytics, Engineering, and BI teams to convert business requirements into technical solutions.
  • Communicate findings, performance insights, and recommendations to stakeholders.
  • Manage multiple projects simultaneously while maintaining data accuracy and operational efficiency.
<>Process Improvement & Documentation
  • Create and maintain technical documentation, query libraries, workflows, and best practices.
  • Identify opportunities to improve marketing operations, attribution frameworks, and data infrastructure.
  • Promote scalable, efficient, and innovative data solutions across the organization.

Required Qualifications

  • Bachelor's degree in a quantitative field or equivalent experience.
  • 2+ years of experience in marketing operations, marketing technology, analytics, data engineering, or a related quantitative field.
  • Advanced proficiency in SQL.
  • Experience working with Google BigQuery or similar cloud data warehouse solutions.
  • Hands-on experience activating audiences and configuring conversions in paid marketing platforms.
  • Experience building audience and conversion datasets using SQL.
  • Familiarity with attribution methodologies, tracking technologies, and campaign measurement.
  • Knowledge of audience and conversion APIs.
  • Experience with mobile marketing and DSP conversion optimization.
  • Strong analytical and problem-solving skills.
  • Ability to manage complex projects involving multiple stakeholders.

Preferred Qualifications

  • Experience with Google Customer Match, Meta Custom Audiences, Segment, or LiveRamp.
  • Familiarity with mobile measurement platforms such as Branch.io and Kochava.
  • Experience with Google Tag Manager (GTM) and server-side tagging implementations.
  • Understanding of full-funnel marketing metrics, attribution, and optimization strategies.
  • Strong communication and stakeholder management skills.
  • Self-starter with strong ownership, organizational, and multitasking abilities.
  • Experience working in fast-paced, data-driven environments.

Technologies & Tools

  • Google BigQuery
  • SQL
  • Google Ads
  • YouTube Ads
  • Meta/Facebook Ads
  • TikTok Ads
  • Snapchat Ads
  • DSP Platforms
  • Google Tag Manager (GTM)
  • Server-Side Tagging
  • Branch.io
  • Kochava
  • Segment
  • LiveRamp
  • Audience APIs
  • Conversion APIs
  • Marketing Attribution Tools
  • Data Warehousing
  • Data Pipelines
  • JSON Configuration Management

Core Technologies

  • SQL
  • Google BigQuery
  • Google Tag Manager (GTM)
  • Server-Side Tagging
  • Branch.io
  • Kochava
  • Segment CDP
  • LiveRamp
  • JSON
  • Data Pipelines
  • Data Warehouse
  • Audience APIs
  • Conversion APIs
  • Customer Data Platform (CDP)

Marketing Platforms

  • Google Ads
  • Google Customer Match
  • YouTube Ads
  • Meta Ads
  • Facebook Ads
  • TikTok Ads
  • Snapchat Ads
  • DSP Platforms
  • Mobile DSP
  • Paid Media
  • Paid Marketing

Domain

  • Marketing Technology
  • MarTech
  • Growth Technology
  • Channel Operations
  • Marketing Operations
  • Campaign Operations
  • Audience Segmentation
  • Audience Activation
  • Conversion Tracking
  • Attribution
  • Marketing Analytics
  • Campaign Optimization
  • Campaign Measurement
  • Performance Marketing
  • Data Engineering
  • Marketing Data Analysis
  • Customer Acquisition
  • Full Funnel Marketing
  • Audience Management
  • Data Validation
  • Troubleshooting
  • Tracking Implementation
  • Cross-Channel Attribution

Business & Soft Skills

  • Stakeholder Management
  • Cross-Functional Collaboration
  • Technical Documentation
  • Process Improvement
  • Problem Solving
  • Data-Driven Decision Making
  • Project Management
  • Quantitative Analysis
  • Marketing Insights
  • Operational Excellence
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10126850
  • Position Id: #GROWTH-772#
  • Posted 7 hours ago
Contact the job poster
PV

Pradeep Vashishtha

Recruiter @ Projas Technologies, LLC
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