Senior Marketing Intelligence Analyst

CrossCountry Mortgage (CCM) is the nation's number one distributed retail mortgage lender with more than 9,000 employees operating over 700 branches and servicing loans across all 50 states, D.C. and Puerto Rico. Our company has been recognized ten times on the Inc. 5000 list of America's fastest-growing private businesses and has received many awards for our standout culture.

• →Partner with the Strategic Marketing Team on initiatives during the planning stage to support goal setting, validate assumptions, and define success metrics.
• →Analyze marketing performance across paid, owned, and earned channels (e.g., search, social media, email, display, servicing, and content) to identify trends, anomalies, and opportunities ahead of stakeholder requests.
• →Strategically recommend improvements based on data, providing clear, actionable guidance to strategic marketing leadership and campaign teams.
• →Evaluate ROI across marketing campaigns, channels, and strategies to identify the highest-returning initiatives and recommend where to concentrate investment to maximize impact.
• →Ensure data accuracy and integrity from project initiation through after-action reporting, catching issues early and documenting data lineage across marketing datasets.
• →Design, develop, and maintain self-service marketing dashboards in Sigma, Tableau, or Power BI, ensuring data is accurate, refreshed, and accessible to non-technical stakeholders.
• →Deliver weekly and monthly performance reports to strategic marketing leadership with clear narrative, KPI scorecards, and recommended actions, leveraging AI tools to accelerate report drafting and executive summaries.
• →Build and maintain attribution models including last touch, linear, and data driven approaches to evaluate the true contribution of each marketing channel to pipeline and revenue.
• →Develop customer segmentation and cohort analyses to guide targeting, personalization, and lifecycle marketing strategies.
• →Partner with vendors and data engineers to define requirements for marketing data pipelines, resolve data quality issues at the source, and document data lineage.
• →Support A/B and multivariate test design, analysis, and read-out across campaigns and digital experiences.
• →Leverage AI and machine learning tools to optimize workflows, including drafting SQL, exploring datasets, generating hypotheses, and stress-testing recommendations.
• →Act as the analytics subject-matter expert for marketing operations and demand generation, answering ad-hoc questions and upskilling stakeholders on data and AI best practices.
• →Stay current on emerging analytics platforms, AI tools, and marketing measurement best practices to drive innovation and continuous improvement.
• →Ensure all analytics practices comply with industry’s best practices and legal/regulatory requirements, including CAN-SPAM, GDPR, and CCPA.

• Bachelor's degree or an equivalent combination of experience and certifications in marketing analytics, business intelligence, data analytics, or a related field.
• 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 (e.g., 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.
• Familiarity with attribution modeling, marketing mix modeling, or incrementality testing, preferred.
• Understanding of statistical concepts including hypothesis testing, statistical significance, and regression basics.
• Understanding of customer data platforms and how event data flows between systems, preferred.
• 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 presenting complex findings clearly and concisely to non-technical and executive audiences.
• Excellent critical thinking skills and attention to detail.
• Excellent collaboration and communication skills, working effectively with individuals at all levels of an organization.
• Skilled in problem-solving and performing effectively in deadline-driven environments.

This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.