Sr. Marketing Intelligence Analyst

CrossCountry Mortgage, LLC•Cleveland, OH

About The Position

The Senior Marketing Intelligence Analyst is the tactical data and analytical partner to the Strategic Marketing Team, keeping data at the forefront of every campaign, initiative, and business decision. This role is responsible for proactively analyzing marketing performance, strategically recommending improvements, and ensuring data accuracy from the first project idea through after-action reporting. Working closely with strategic marketing leadership, engineering, and external vendors, the Senior Marketing Intelligence Analyst translates complex data into clear, actionable recommendations that drive revenue, improve client experience, and sharpen how CCM markets at scale. This role leverages modern AI tools to accelerate report creation, optimize analysis, and deliver insights faster, empowering CCM to make data-driven decisions with confidence.

Requirements

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.
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 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.

Nice To Haves

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

Responsibilities

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.