Digital Analytics Engineer

Client Overview:
Our client partners with major brands to optimize digital experiences, improve marketing performance, and deliver measurable business results. With a collaborative, innovative environment, the organization offers opportunities to work across multiple teams and contribute to high-impact analytics initiatives. Our client is seeking an experienced Digital Marketing Analytics Specialist to support its digital experience analytics and marketing performance initiatives.

Salary/Hourly Rate:
$30/hr - $43.50/hr

Position Overview:
This position will focus on two primary areas: data visualization and digital tracking implementation. The ideal candidate will have strong SQL skills, hands-on experience with web analytics and tag management platforms, and the ability to translate complex data into actionable business insights. This role requires someone who can work independently, collaborate across multiple teams, and communicate technical findings to non-technical stakeholders. This is a fully remote, part-time opportunity requiring approximately 15 - 20 hours per week, with potential for additional hours, extension, or conversion to a permanent position based on business needs.

Responsibilities of the Digital Analytics Engineer:

• Analyze website performance, user behavior, marketing campaigns, and digital customer experiences to identify trends and opportunities for improvement.
• Develop and maintain dashboards, reports, and data visualizations to communicate performance metrics and business insights.
• Write and execute SQL queries to extract, manipulate, and analyze data from multiple sources.
• Implement, manage, and troubleshoot website tracking solutions using Google Tag Manager, Adobe Launch, or similar platforms.
• Identify gaps in tracking and measurement, recommending improvements to ensure accurate data collection.
• Perform funnel, clickstream, segmentation, and conversion analyses to evaluate digital performance.
• Collaborate with marketing, analytics, customer experience, and other internal teams to support business objectives.
• Translate technical findings into clear, actionable recommendations for non-technical stakeholders.
• Support the development and optimization of measurement frameworks, KPIs, and reporting processes.
• Troubleshoot data discrepancies and ensure accurate, reliable analytics reporting.

Required Experience/Skills for the Digital Analytics Engineer:

• 5+ years of experience in digital analytics, web analytics, marketing analytics, or a related field.
• Strong hands-on experience with data visualization and business intelligence tools.
• Proficiency in SQL, including writing and executing queries for data analysis.
• Experience with Google Tag Manager or Adobe Launch for digital tracking and tag management.
• Experience with Google Analytics (GA4), Adobe Analytics, or similar web analytics platforms.
• Strong understanding of website performance metrics, user behavior, and conversion tracking.
• Proven ability to collaborate across multiple teams and communicate technical concepts to non-technical audiences.
• Strong analytical, problem-solving, and organizational skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Must be authorized to work in the United States without current or future sponsorship.

Preferred Experience/Skills for the Digital Analytics Engineer:

• Previous experience working within a media, marketing, or advertising agency.
• Experience with Tableau, Looker, Looker Studio, Datorama, or similar visualization platforms.
• Familiarity with A/B testing, conversion rate optimization, and digital experience measurement.
• Experience with Tealium or other tag management solutions.
• GA4 certification or additional analytics platform certifications.
• Experience developing measurement strategies and analytics reporting frameworks.
• Knowledge of descriptive statistics and digital marketing performance analysis.

Education Requirements:

• Bachelor's degree in Marketing, Business Analytics, Statistics, Computer Science, or a related field is preferred.

Benefits:

• The position offers potential for increased hours, contract extension, or conversion to permanent employment based on business needs and performance.
• Additional benefits may be available based on employment eligibility.

Job Wrapping ID: #LI-AJ3

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EOE/M/F/D/V/SO

Position ID: 412573