Marketing Intelligence Analyst

Aston Carter•Atlanta, GA

5d•$38 - $44•Onsite

About The Position

The Marketing Intelligence Analyst designs and delivers data-driven insights that power modern marketing strategies and execution. This role builds and maintains Power BI dashboards, analyzes campaign and audience performance, and develops predictive models to optimize channel mix, spend, targeting, and messaging. The analyst partners closely with marketing, IT, and data engineering teams to unify data sources, operationalize AI across campaigns, and translate complex analytics into clear, actionable recommendations that improve marketing performance and business outcomes.

Requirements

Bachelor’s degree in Business, Marketing, Data Analytics, Information Systems, or a related field.
At least 2 years of experience in business intelligence, analytics, or data analysis, with hands-on experience supporting marketing teams or reporting on marketing campaign performance.
Strong proficiency with Power BI, including report building, data modeling, and DAX.
Solid understanding of SQL for querying and transforming data.
Experience working with marketing data sources such as campaign, channel, audience, or engagement data.
Experience with ETL processes and handling both structured and unstructured datasets.
Ability to work with APIs and integrate external partner or platform data into internal systems.
Experience with predictive modeling or advanced analytics techniques applied to marketing or customer data.

Nice To Haves

Experience with cloud data platforms such as Azure, Databricks, or similar technologies.
Proficiency in Python, R, or similar tools for predictive analytics, automation, and data modeling.
Familiarity with marketing platforms such as HubSpot, marketing automation tools, CRM systems, or product and content data systems.
Knowledge of data governance, data security, and best practices for handling marketing and partner-provided data.
Experience in cross-functional roles that bridge marketing strategy, analytics, and IT or data engineering teams.
Interest in marketing strategy, marketing analysis, and digital marketing.
Desire to grow within a dynamic and expanding company environment.

Responsibilities

Design, develop, and maintain marketing-focused dashboards in Power BI that provide real-time insights across campaigns, audiences and personas, content, and communication channels.
Analyze historical and current marketing performance data to identify trends, opportunities, and key drivers of campaign effectiveness, audience engagement, and conversion.
Develop and apply predictive models to forecast campaign outcomes and optimize channel mix, timing, budget and spend, and targeting to support data-informed marketing planning and prioritization.
Support AI-driven marketing planning and initiatives, including multi-product campaigns, persona enrichment, precision engagement, experimentation, and performance testing.
Translate complex datasets and predictive analytics into clear, actionable recommendations for marketing leadership and team members to guide messaging, spend allocation, and campaign design.
Collaborate closely with marketing, IT, and data engineering teams to integrate internal and external data sources, ensuring a unified and accurate view of marketing performance and customer behavior.
Develop and enforce processes that ensure the accuracy, completeness, and consistency of marketing and sales datasets used for campaign reporting and optimization.
Contribute to the data governance framework by defining and maintaining marketing-specific KPIs, metrics, and business rules aligned with campaign and go-to-market objectives.
Evaluate and optimize marketing-owned data systems such as Salsify, HubSpot, and related platforms so that data is structured and maintained to support effective marketing execution, insights, and predictive modeling.
Assist in operationalizing AI across campaign planning, budgeting, media modeling, forecasting, and closed loop learning systems to continuously improve marketing performance.
Monitor and evaluate the effectiveness of AI-powered marketing initiatives, iteratively refining models, assumptions, and dashboards to maximize business and marketing impact.
Stay current with emerging marketing analytics tools, predictive modeling techniques, and AI applications relevant to modern marketing and go-to-market teams.