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Sr. Marketing Intelligence Analyst

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: CCM CrossCountry Mortgage, LLC
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Analyst
  • Marketing / Advertising / PR
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Position Overview

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 s role leverages modern AI tools to accelerate report creation, optimize analysis, and deliver insights faster, empowering CCM to make data‑driven decisions with confidence.

Job 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.
Qualifications and Skills
  • 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…
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