Digital Marketing Analyst

360training

1d•Remote

About The Position

360training is seeking a Digital Marketing Analyst to turn raw data into business insights and support decisions for its multi-million-dollar eCommerce business. The analyst will own reports, dashboards, and analysis that drive marketing decisions, explain the story behind the numbers, identify trends, and influence strategy. The role partners with leadership to answer business questions, uncover opportunities, and advance the company’s data-driven culture. This is a remote position open to candidates in AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO, and WI. Visa sponsorship is not available.

Requirements

Bachelor’s degree in marketing, analytics, statistics, economics, computer science, data science, mathematics, or a related field.
1–3 years of experience in digital marketing analytics, e-commerce analytics, or web analytics, with a record of delivering insights that drive measurable impact.
Strong analytical and problem-solving skills, including the ability to turn data into actionable recommendations.
Curiosity, ambition, proactivity, and a desire to learn, challenge assumptions, and uncover opportunities.
Collaborative mindset and ability to build strong partnerships across marketing and business teams.
Interest in using AI tools and workflow automation to improve business processes and analytical efficiency.
Hands-on experience with Google Analytics (GA4) and a strong understanding of digital marketing performance metrics and attribution concepts.
Experience with Google Ads and/or Microsoft Ads reporting and performance analysis.
Proficiency in SQL and/or BigQuery for extracting, transforming, and analyzing data.
Experience building dashboards and visualizations using Power BI, Tableau, or similar BI tools.

Nice To Haves

Experience supporting multi-brand, multi-domain e-commerce businesses.
Knowledge of statistical analysis, forecasting, and predictive modeling.
Experience with Python, R, or advanced analytics techniques.
Familiarity with customer segmentation, lifetime value (LTV), attribution modeling, or experimentation/A-B testing.
Experience working with data warehouses, cloud analytics platforms, or large-scale marketing datasets.
Exposure to AI-powered analytics, machine learning applications, or workflow automation platforms.

Responsibilities

Partner with marketing leaders to understand performance drivers, identify opportunities, and provide actionable recommendations to accelerate growth across multiple brands.
Identify trends, opportunities, and risks in data, and communicate findings and recommendations to stakeholders at all levels.
Evaluate channel performance, campaign effectiveness, customer behavior, conversion funnels, and return on advertising spend.
Identify opportunities to automate and improve workflows, reporting efficiency, and decision-making using emerging technologies and AI.
Use Google Analytics, BigQuery, SQL, and other data sources to investigate business questions, uncover growth opportunities, and improve customer acquisition and retention.
Develop and enhance Power BI dashboards, reporting, and self-service analytics to support data-driven decisions.