Senior Marketing Intelligence Analyst

CrossCountry Mortgage•Cleveland, OH

About The Position

The Senior Marketing Intelligence Analyst is the tactical data and analytical partner to the Strategic Marketing Team. The role keeps data at the forefront of campaigns, initiatives, and business decisions by analyzing performance, recommending improvements, and ensuring data accuracy from project planning through after-action reporting. Working with strategic marketing leadership, engineering, and external vendors, the analyst translates complex data into actionable recommendations intended to drive revenue, improve client experience, and strengthen marketing at scale. The role also uses AI tools to accelerate reporting, optimize analysis, and deliver insights more quickly.

Requirements

Bachelor’s degree or an equivalent combination of experience and certifications in marketing analytics, business intelligence, data analytics, or a related field.
At least 4 years of experience in marketing analytics, business intelligence, data analyst, or marketing intelligence roles.
Experience translating analysis into strategic recommendations that have influenced business decisions.
Experience using analytics and AI tools, such as Claude, Microsoft Copilot, or similar tools, to draft reports, write and debug code, summarize findings, and build lightweight automations.
Knowledge of Python or R for data manipulation and exploratory analysis.
Knowledge of data privacy regulations, including GDPR and CCPA, and best practices for data quality and lineage documentation.
Familiarity with digital marketing platforms such as Google Analytics 4, Google Ads, Meta Ads Manager, and CRM systems.
Understanding of statistical concepts, including hypothesis testing, statistical significance, and regression basics.
Advanced proficiency with at least one business intelligence platform, such as Sigma, Tableau, or Power BI.
Proficiency working in cloud data warehouses such as Snowflake, including writing strong SQL for data exploration and reporting.
Excellent data storytelling skills, including clearly and concisely presenting complex findings to non-technical and executive audiences.
Excellent critical thinking skills and attention to detail.
Excellent collaboration and communication skills, with the ability to work effectively with individuals at all organizational levels.
Problem-solving skills and ability to perform effectively in deadline-driven environments.

Nice To Haves

Familiarity with attribution modeling, marketing mix modeling, or incrementality testing.
Understanding of customer data platforms and how event data flows between systems.

Responsibilities

Partner with the Strategic Marketing Team during initiative planning to support goal setting, validate assumptions, and define success metrics.
Analyze paid, owned, and earned marketing channels to identify trends, anomalies, and opportunities.
Recommend data-driven improvements and provide actionable guidance to marketing leadership and campaign teams.
Evaluate return on investment across campaigns, channels, and strategies, and recommend where to concentrate investment.
Ensure data accuracy and integrity from project initiation through after-action reporting, and document data lineage.
Design, develop, and maintain self-service marketing dashboards in Sigma, Tableau, or Power BI.
Deliver weekly and monthly performance reports with narrative, KPI scorecards, and recommended actions, using AI tools to accelerate report drafting and executive summaries.
Build and maintain attribution models, including last-touch, linear, and data-driven approaches, to evaluate marketing channels’ contribution to pipeline and revenue.
Develop customer segmentation and cohort analyses to guide targeting, personalization, and lifecycle marketing strategies.
Work with vendors and data engineers to define marketing data pipeline requirements, resolve data quality issues at the source, and document data lineage.
Support A/B and multivariate test design, analysis, and read-outs for campaigns and digital experiences.
Use AI and machine learning tools to optimize workflows, including drafting SQL, exploring datasets, generating hypotheses, and stress-testing recommendations.
Serve as the analytics subject-matter expert for marketing operations and demand generation, respond to ad hoc questions, and upskill stakeholders on data and AI best practices.
Stay current on analytics platforms, AI tools, and marketing measurement practices to support innovation and continuous improvement.
Ensure analytics practices comply with industry best practices and applicable legal and regulatory requirements, including CAN-SPAM, GDPR, and CCPA.