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Marketing Data Analyst Jobs in Delaware (NOW HIRING)

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

Who has nearly 7+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

... analytical, strategic, and leadership skills * Excellent communication and execution abilities Why DemandFactor * High-impact leadership role * Full ownership and autonomy to shape marketing * Data ...

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Marketing Data Analyst information

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$19

$44

$69

How much do marketing data analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for marketing data analyst in Delaware is $44.66, according to ZipRecruiter salary data. Most workers in this role earn between $34.66 and $53.89 per hour, depending on experience, location, and employer.

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.

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 advanced skills in data visualization and analytics tools can earn higher salaries.
More about Marketing Data Analyst jobs

What are the most commonly searched types of Marketing Data Analyst jobs in Delaware?

The most popular types of Marketing Data Analyst jobs in Delaware are:

What are popular job titles related to Marketing Data Analyst jobs in Delaware?

For Marketing Data Analyst jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Marketing Data Analyst jobs?

Cities in Delaware with the most Marketing Data Analyst job openings:

Infographic showing various Marketing Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $92,891 per year, or $44.7 per hour.

Senior Director, Marketing Data Strategy (Remote)

Wilmington, DE โ€ข On-site, Remote

Full-time

Re-posted 18 days ago


Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
We're looking for a leader who wants to help build the future of marketing data strategy at Forbes Digital Marketing. Our Data & Analytics organisation sits at the heart of our mission. We build the products, platforms and intelligence that power marketing, commercial decision making, customer understanding and revenue growth across the business. As we continue to invest in first-party data, machine learning, marketing technology and AI, we're looking for a senior leader to help define the next phase of that journey.
This is not a traditional data leadership role. Working directly with the VP of Data Strategy, you'll act as a trusted technical counterpart - bringing deep expertise, challenging thinking, and helping shape strategic decisions across our marketing data ecosystem. You'll join an established leadership team spanning Engineering, Analytics, Data Science and Operations, helping define how customer data, marketing measurement, attribution, analytics and AI come together to improve business performance. You'll also act as a senior technical counterpart to key technology partners, helping ensure our strategy evolves alongside the wider marketing ecosystem.
If you're motivated by solving complex commercial problems, challenging conventional thinking, building products rather than projects, and helping organisations use data more effectively, we'd love to hear from you.
Responsibilities:
  • Marketing Measurement & Attribution: Help define how we measure marketing performance across channels and ensure that our measurement strategy enables better commercial decisions.
  • Customer Intelligence & First-Party Data: Help shape how customer data is collected, organised and activated across the business.
  • Marketing Platforms & Activation: Ensure our marketing platforms receive the right data to optimise effectively and maximise commercial performance.
  • Data Products & Decision Intelligence: Help move the organisation from one-off analysis towards reusable products and decision-support capabilities.
  • Strategic Leadership: Challenge assumptions and influence the future direction of our marketing data strategy.
  • Team Leadership & Capability Building: Play an important role in building and developing the next generation of leaders across Data & Analytics.

Requirements:
We're deliberately not looking for someone who has done everything. Instead, you'll bring deep expertise in one or more of our strategic domains together with the ability to collaborate across the wider marketing data ecosystem.
You'll likely bring:
  • Experience leading strategic marketing data, customer intelligence, analytics or data product initiatives that delivered measurable business outcomes.
  • Deep expertise in at least one of the following:
  • Marketing measurement and attribution
  • Customer intelligence and first-party data
  • Applied data science and predictive modelling
  • Marketing platforms and activation
  • Data products and decision intelligence
  • A track record of building products, platforms or capabilities that deliver measurable commercial outcomes.
  • Deep understanding of Performance Marketing
  • Strong commercial judgement and the ability to prioritise initiatives based on business value.
  • Confidence influencing senior stakeholders across both technical and non-technical audiences.
  • Experience developing teams, coaching leaders and building organisational capability.
  • Curiosity about emerging technologies - particularly AI - and a pragmatic approach to applying them where they create genuine business value.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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