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Marketing Data Analyst Jobs (NOW HIRING)

TransUnion

Marketing Data Analyst

Chicago, IL · On-site

This team sits within the Marketing Solutions organization and reports to Senior Manager of Data Analysis.This is a hybrid position and involves regular performance of job responsibilities virtually ...

Transunion

Marketing Data Analyst

Chicago, IL

This team sits within the Marketing Solutions organization and reports to Senior Manager of Data Analysis. This is a hybrid position and involves regular performance of job responsibilities virtually ...

CONMED

Global Marketing Data Analyst

Largo, FL · Remote

$85K - $148K/yr

As a Global Marketing Data Analyst, you'll play a critical role in helping teams understand what's working, and what's next, across the full customer journey. In this role, you'll connect the dots ...

Ingram Micro

Associate Marketing Data Analyst

Irvine, CA · On-site

$54K - $87K/yr

The Associate Marketing Data Analyst independently delivers marketing reporting, analysis, and performance insights that support customer growth, campaign optimization, and business decision-making.

Infojini Inc

Digital Marketing Data Analyst

New York, NY · On-site

$94K - $117K/yr

... marketing and communications model. All Analysts operate fluidly in an entrepreneurial environment. In this role, the Senior Digital Data Analyst will handle projects that include: Attribution ...

Ingrammicro

Associate Marketing Data Analyst

Irvine, CA

$54K - $87K/yr

The Associate Marketing Data Analyst independently delivers marketing reporting, analysis, and performance insights that support customer growth, campaign optimization, and business decision-making.

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Marketing Data Analyst information

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How much do marketing data analyst jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for marketing data analyst in the United States is $44.62, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $53.85 per hour, depending on experience, location, and employer.

How does a marketing data analyst typically collaborate with other departments within a company?

A Marketing Data Analyst regularly works with cross-functional teams, such as marketing, sales, product management, and IT. They collaborate to gather data requirements, interpret results, and translate analytical findings into actionable strategies. This collaborative environment helps ensure that marketing campaigns are data-driven and aligned with broader business objectives. Strong communication skills are essential, as analysts often present complex insights to non-technical stakeholders.

What is the difference between Marketing Data Analyst vs Data Scientist?

AspectMarketing Data AnalystData Scientist
Required CredentialsBachelor's in Marketing, Business, or Data Analysis; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentMarketing teams, advertising agencies, retail, e-commerceTech companies, finance, healthcare, research institutions
Employer & Industry UsageMarketing departments, advertising firms, retail companies

While both roles analyze data to inform decisions, Marketing Data Analysts focus on marketing metrics and consumer insights, whereas Data Scientists develop complex models and algorithms across various domains. The roles share similar educational backgrounds and tools but differ in scope and application.

How much does a marketing data analyst make in the US?

The average salary for a marketing data analyst in the US is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with skills in data visualization and tools like SQL or Tableau can earn higher salaries.

What is a marketing data analyst?

Marketing Data Analysts are professionals who collect, analyze, and interpret data related to marketing campaigns and customer behavior. They use tools such as Excel, SQL, and statistical software to uncover trends, measure campaign effectiveness, and provide actionable insights that help businesses make informed marketing decisions. Their work supports strategy development, optimizes marketing spend, and helps organizations better understand their target audience. Marketing Data Analysts typically collaborate with marketing teams, management, and other stakeholders to translate complex data into clear, impactful recommendations.

What are the key skills and qualifications needed to thrive as a marketing data analyst?

To thrive as a Marketing Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in marketing, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), statistical software (like R or Python), and experience with CRM and marketing analytics platforms are typically required. Attention to detail, problem-solving, and clear communication are essential soft skills for translating complex data into actionable marketing insights. These abilities ensure accurate data interpretation, effective strategy development, and clear communication of insights that drive marketing success.
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Marketing Data Analyst jobs near you
Infographic showing various Marketing Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,811 per year, or $44.6 per hour.

Senior Marketing & Data Analyst

The Misch Group

Los Angeles, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Description
As a senior marketing data analyst, you will aggregate and perform analysis on demand generation and marketing data based on requests from project teams or senior leadership by integrating data from multiple data sources or functional areas. You will ensure data accuracy and integrity; updates data as needed and develop queries or reports to provide data for various analytical projects. This position is also responsible for interpreting key market data to identify business trends, conducting root cause analysis of business problems, and proposing areas for process improvement.

Key Responsibilities
  • Lead large, handles complex analytics and reporting projects, delivering accurate, accessible, and repeatable business reporting and insights to stakeholders across all levels.
  • Possesses comprehensive knowledge in the business and data landscape, standardized reporting, experimentation, and analysis to support performance discussions across multiple channels.
  • Proactively help the business leverage data and insights to enhance our ability to inform on event management efforts and increase the efficacy of our approaches. Provide rhythm of the business analytics support, actionable insights, and recommendations to optimize and scale flagship events.
  • Apply a customer/stakeholder-oriented focus and user experience design best practices to ensure data analysis is easily consumable through visualization, presentation, and storytelling.
  • Working with technical team on technical requirements to enable data availability, data quality, transformations, and integrity for analytics and wider business self-service usage.
  • Execute data analysis using multiple data sets and sources. Lead discussions interpreting results and connecting them to relevant business context. Provide actionable recommendations to optimize business investments in a way that can be repeated and scaled as needed.
  • Define, build, and maintain performance metrics, dashboards, and analysis. Provide relevant information in an automated, self-service, and efficient manner to enable business optimization and tracking.
  • Provides coaching, and/or mentoring to other members of the group and act as a data analytics lead.

Skills, Knowledge and Expertise
  • Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years’ experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
  • 1+ years’ experience with data visualization tools such as Power BI, Tableau, or Looker.
  • 1+ years’ experience utilizing SQL AND Excel for data manipulation and analysis.
  • 1+ years’ experience with Python and/or R for statistical analysis and data modeling is a plus
  • 2+ year of hands-on experience with Data Analytics tools and services or like products/services.
  • Ability to foster teamwork, analytical thinking skills, statistical knowledge, technical expertise, computer skills, detail oriented, ability to meet deadlines, mathematical skills, project management skills.
  • Experience with Generative AI (GenAI) applications in a marketing context is a plus.