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Data Marketing Jobs (NOW HIRING)

About Us B2E Data Marketing is a data-driven marketing and analytics firm focused on helping clients leverage data to drive smarter decisions, better targeting, and measurable growth. As a small ...

Data & Marketing Analyst

Sioux City, IA · On-site

$85K - $106K/yr

The Data & Marketing Analyst is a strategic contributor responsible for leveraging data, analytics, and digital marketing insights to support the Bank's growth, customer engagement, and revenue ...

Data & Marketing Analyst

Sioux City, IA · On-site

$85K - $106K/yr

The Data & Marketing Analyst is a strategic contributor responsible for leveraging data, analytics, and digital marketing insights to support the Bank's growth, customer engagement, and revenue ...

Data Marketing Engineer Intern Location: ONSITE / IN-OFFICE NYC / HYBRID Internship Duration: 6 MONTHS Department: Marketing & Data Analytics Type: Internship | Part-Time or Full-Time | Paid or ...

About the job AI & Data Marketing Leader Job Posting: Senior Marketing Executive Data, AI, and Analytics Domain: Entertainment/Media/Publishing Location: Santa Clara, CA Work Authorization: H1B visa ...

... marketing data, marketing analytics, or consumer goods is preferred. • Travel: This position requires commitment to 4 days/week at the client office in Midtown, Atlanta. • Degree: Bachelor ...

Preferred : • Background in marketing data, marketing analytics, or consumer goods is preferred. • Oversight-only or PMO-style profiles will not be considered. • Must be a working technical ...

... marketing data, marketing analytics, or consumer goods is preferred. • Travel: This position requires commitment to 4 days/week at the client office in Midtown, Atlanta. • Degree: Bachelor ...

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Data Marketing information

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How much do data marketing jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data marketing in the United States is $38.69, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $45.91 per hour, depending on experience, location, and employer.

What does a data marketer do?

A data marketer analyzes large datasets to identify trends and insights that inform marketing strategies. They use tools like analytics platforms and data visualization software to optimize campaigns, improve customer targeting, and measure marketing performance.

What are the key skills and qualifications needed to thrive as a Data Marketing Specialist, and why are they important?

To thrive as a Data Marketing Specialist, you need a solid understanding of data analytics, digital marketing principles, and experience with data-driven campaign strategies, often supported by a degree in marketing, statistics, or a related field. Familiarity with tools such as Google Analytics, CRM systems, marketing automation platforms, and data visualization software is typically required. Strong communication, critical thinking, and project management skills help professionals interpret data and collaborate effectively across teams. These skills are important because they enable the creation of targeted, measurable campaigns that drive business growth and optimize marketing ROI.

How much do data marketers make?

Data marketers typically earn a median annual salary of around $70,000 to $100,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with skills in analytics and marketing tools can earn higher salaries. Certifications and advanced skills can also influence earning potential.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more strategic and complex insights. While AI tools can augment their work, human expertise remains essential for interpreting results, making decisions, and understanding context. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

How does a Data Marketing professional typically collaborate with cross-functional teams to achieve campaign goals?

Data Marketing professionals work closely with teams such as sales, creative, IT, and analytics to design, implement, and optimize marketing campaigns. They often translate complex data insights into actionable strategies for non-technical stakeholders, ensuring that messaging and targeting align with business objectives. Regular meetings and data-sharing sessions are common, fostering a collaborative environment where feedback is used to refine audience segmentation, content personalization, and campaign measurement. This cross-functional coordination is key to driving campaign effectiveness and achieving measurable results.

What is data marketing?

Data marketing is the use of data and analytics to inform and optimize marketing strategies, campaigns, and customer interactions. By collecting and analyzing data from various sources—such as social media, website analytics, and customer databases—marketers can better understand consumer behavior and preferences. This enables them to create more personalized content, target audiences more effectively, and measure the impact of their efforts. Data marketing helps companies make smarter decisions, improve return on investment (ROI), and stay competitive in a rapidly evolving digital landscape.

Is 40 too late for data science?

Data marketing professionals and data scientists can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as data analysis, programming, and understanding marketing strategies, often through certifications or courses. Many individuals transition into data roles later in their careers and find opportunities based on their experience and continuous learning.

What is the difference between Data Marketing vs Data Analyst?

AspectData MarketingData Analyst
Primary FocusUsing data to develop marketing strategies and campaignsAnalyzing data to interpret trends and support decision-making
Skills & CertificationsMarketing analytics, data visualization, CRM tools, certifications like Google AnalyticsStatistical analysis, SQL, Excel, certifications like CAP or Microsoft Data Analyst
Work EnvironmentMarketing teams, digital agencies, advertising firmsBusiness intelligence teams, data departments, consulting firms
Industry UsageMarketing, advertising, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, Data Marketing focuses on leveraging data to craft marketing strategies and campaigns, whereas Data Analysts interpret data to inform broader business decisions. Understanding these differences helps professionals choose the right career path or job focus.

More about Data Marketing jobs
What cities are hiring for Data Marketing jobs? Cities with the most Data Marketing job openings:
What states have the most Data Marketing jobs? States with the most job openings for Data Marketing jobs include:
Infographic showing various Data Marketing job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $80,479 per year, or $38.7 per hour.

Marketing Data Scientist

B2E Marketing

Des Moines, IA • On-site

Full-time

Posted 20 days ago


Job description

About Us

B2E Data Marketing is a data-driven marketing and analytics firm focused on helping clients leverage data to drive smarter decisions, better targeting, and measurable growth. As a small, collaborative team, we value flexibility, shared ownership, and innovation.

The Role

We're looking for a Marketing Data Scientist who brings strong technical foundation while also contributing to client strategy, innovation, and product development. This role will help extend and scale the data and analytics capabilities B2E has built, while supporting our continued evolution into AI, machine learning, and predictive marketing solutions.

Note: Candidates must be authorized to work in the U.S. (no visa sponsorship). B2E also does not pay for relocation.

Key Responsibilities

  • Develop predictive models for targeting, segmentation, and campaign performance.
  • Apply statistical and machine learning techniques to optimize marketing outcomes.
  • Explore and implement emerging AI/ML capabilities to enhance product offerings.
  • Conduct A/B and multivariate testing to improvement marketing effectiveness.
  • Design and maintain data pipelines across CRM, digital platforms, and third-party data sources.
  • Ensure data quality, consistency and scalability across projects.
  • Leverage tools such as Alteryx, Python and R to automate workflows.
  • Develop dashboards and reporting to translate data into actionable insights.
  • Support audience development, data enrichment, and marketing execution across channels.
  • Collaborate on product innovation and roadmap development for new data-driven solutions.
  • Translate complex data into clear, actionable insights to clients and internal stakeholders.
  • Manage multiple projects in a fast-paced, collaborative environment.

Core Skills & Qualifications

  • Bachelor's degree in Data Analytics or a related field.
  • 25 years of experience in data science, analytics, or marketing data.
  • Experience with marketing data, audience targeting, or campaign analytics preferred.
  • Experience with SQL, Python or R (Alteryx strongly preferred); predictive modeling; statistical analysis; and data integration.
  • Familiarity with cloud-based data environments, AI/ML concepts, and data visualization tools (Tableau, Power BI).
  • Ability to translate data into clear business insights and communicate effectively with technical and non-technical audiences.
  • Strategic, problem-solving mindset with interest in product development.

*Credit and criminal background verification required on all applicants.

B2E Data Marketing is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.