Senior Analyst, Marketing Analytics

CoStar Group•Atlanta, GA
•$89,000 - $145,000•Onsite

About The Position

CoStar Group is seeking a highly analytical, strategic, and data-driven Senior Analyst, Marketing Analytics to partner with Marketing leadership. The role transforms complex marketing and business data into actionable insights that influence media strategy, investment decisions, customer acquisition, and business growth. The analyst owns high-impact initiatives from strategy through implementation, developing scalable measurement frameworks, forecasting methodologies, reporting solutions, and analytical capabilities that support informed decision-making. Working across Marketing, Media, Product, and Analytics teams, the Senior Analyst leads and evaluates cross-channel performance, identifies opportunities and risks, and recommends future marketing investments. The role also advances measurement capabilities in attribution, audience strategy, digital analytics, mobile app measurement, and data quality. It requires autonomy, proactive problem-solving, senior-stakeholder influence, and the ability to translate findings into clear business actions and measurable outcomes. This position is five days onsite in the Atlanta office.

Requirements

  • Bachelor's degree in Analytics, Statistics, Economics, Marketing, Mathematics, Business, Data Science, or a related field.
  • At least 5 years of progressively responsible experience in marketing analytics, digital analytics, business intelligence, media analytics, or related analytical roles.
  • Ability to own complex analytical initiatives from problem definition through implementation, analysis, recommendation, and leadership communication.
  • Experience partnering strategically with senior stakeholders and translating complex findings into business implications, recommendations, and actions.
  • Experience working in or closely with a media, digital marketing, or analytics agency environment, including managing multiple stakeholders and analytical workstreams.
  • Strong understanding of digital marketing channels, including Paid Search, SEO, Programmatic Display, Social, Video, and App Marketing.
  • Experience developing forecasting models, scenario analyses, performance measurement frameworks, and investment recommendations.
  • Experience designing and evaluating structured marketing tests with defined hypotheses, KPIs, measurement methodologies, and business outcomes.
  • Advanced proficiency with analytics and visualization platforms such as GA4, Power BI, and Looker, including building scalable reporting solutions and leadership-facing dashboards.
  • Strong quantitative and analytical problem-solving skills, experience with large and complex datasets, and ability to structure ambiguous problems.
  • Strong communication and presentation skills, including the ability to influence decisions through data-driven storytelling and recommendations.
  • Ability to work independently, manage multiple high-priority initiatives, influence cross-functional stakeholders, and drive workstreams from concept through implementation.
  • Strong attention to detail and a record of delivering accurate, high-quality analysis while maintaining a strategic, business-oriented perspective.
  • Eligibility to work full-time in the United States; the company states that it cannot provide visa sponsorship for this position.

Nice To Haves

  • Advanced knowledge of marketing attribution, incrementality, experimentation, media effectiveness, and cross-channel measurement methodologies, including mobile app measurement.
  • Experience with Mobile Measurement Platforms (MMPs), mobile attribution, app event instrumentation, or related mobile marketing measurement technologies.
  • Experience with SQL, Python, R, or other analytical programming languages for automating analysis and working with complex datasets.
  • Familiarity with cloud data and warehousing platforms such as Snowflake, BigQuery, or AWS.
  • Experience working with marketing automation, CRM, web analytics, media platforms, and customer or audience data environments.
  • Experience with analytical and automation tools such as Excel, SQL, Funnel.io, or comparable data integration and workflow solutions.
  • Ability to identify opportunities for process improvement, automation, measurement maturity, and scalable analytics capabilities.

Responsibilities

  • Partner with Marketing and Media leadership to deliver insights and recommendations influencing media strategy, investment allocation, customer acquisition, and business decisions.
  • Own the monthly paid media performance dashboard and develop leadership-ready narratives and recommendations synthesizing cross-channel results, business drivers, trends, risks, and opportunities.
  • Identify performance opportunities and emerging trends, explain their business implications, and recommend next steps.
  • Develop and implement forecasting and scenario-planning models for traffic, leads, and business outcomes under different media investment scenarios.
  • Translate forecast outputs into recommendations for senior leadership, including expected impact, opportunities, risks, and trade-offs.
  • Conduct competitive and market analysis to benchmark performance, identify landscape shifts, and uncover growth opportunities.
  • Evaluate marketing tests and partner with channel owners to develop structured experimentation and measurement frameworks, including hypotheses, KPIs, success criteria, and post-campaign learning agendas.
  • Serve as a Marketing Analytics subject matter expert for mobile measurement, attribution, and performance analytics, guiding the development of app measurement capabilities.
  • Develop and measure audience strategy using first-party, third-party, and syndicated data to identify valuable segments and targeting opportunities.
  • Establish and maintain standards for data integrity, measurement governance, reporting consistency, and analytical quality across marketing platforms and reporting environments.
  • Identify, troubleshoot, and drive resolution of tracking, tagging, attribution, instrumentation, and data-quality issues.
  • Monitor feed health, data quality, and platform compliance, partnering with relevant teams to resolve issues affecting campaign delivery, measurement, or performance.

Benefits

  • Generous compensation and performance-based incentives.
  • Internal training and tuition reimbursement.
  • Medical, vision, dental, and prescription drug coverage.
  • Life, legal, and supplementary insurance.
  • Virtual and in-person mental health counseling services for individuals and families.
  • Commuter and parking benefits.
  • 401(k) retirement plan with matching contributions.
  • Employee stock purchase plan.
  • Paid time off.
  • On-site fitness center and/or reimbursed fitness center membership costs, depending on location.
  • Access to Employee Resource Groups.
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks.
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