Marketing Intelligence Analyst

Required Skills & Experience

• Bachelor’s degree in Business, Marketing, Data Analytics, Information Systems, or related field.
• 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 (campaign, channel, audience, or engagement data).
• Experience with ETL processes and handling 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 Have Skills & Experience

• Experience with cloud data platforms such as Azure, Databricks, or similar.
• Proficiency in Python, R, or similar tools for predictive analytics, automation, and data modeling.
• Familiarity with marketing platforms such as HubSpot, marketing automation, CRM, or product/content data systems.
• Knowledge of data governance, security, and best practices for handling marketing and partner-provided data.
• Experience in cross-functional roles bridging marketing strategy, analytics, and IT/data engineering teams.

Job Description

• Design, develop, and maintain marketing-focused dashboards using Power BI to provide real-time insights across campaigns, audiences/personas, content, and communication channels.
• Analyze historical and current marketing performance data to identify trends, opportunities, and key drivers related to campaign effectiveness, audience engagement, and conversion.
• Develop and apply predictive models to forecast campaign outcomes, optimize channel mix, timing, budget/spend, targeting, and 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, enabling decisions around 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, accurate view of marketing performance and customer behavior.
• Develop and enforce processes to ensure accuracy, completeness, and consistency of marketing and sales datasets used for campaign reporting and optimization.
• Contribute to the company’s data governance framework by defining and maintaining marketing-specific KPIs, metrics, and business rules aligned to campaign and go-to-market objectives.
• Evaluate and optimize marketing-owned data systems (e.g., Salsify, HubSpot, and related platforms), ensuring data is structured and maintained in ways that 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.