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Data Marketing Jobs (NOW HIRING)

You'll connect product, data, marketing, sales, and customer insight to crack the message and build the repeatable, scalable channels that help Lassie reach far more doctors' offices efficiently.

The Marketing Decision Science team focuses on developing data-driven models and services to bring high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to ...

Serve as the primary contact and trusted advisor for client executives - CMO, CDO, CIO, and often CEO - on data and AI transformation. * Win engagements: develop the client portfolio, grow the US ...

New

Data Engineer

Boston, MA

$124K - $149K/yr

We're seeking a Senior Data & Distribution Platform Engineer to support enterprise data, marketing, and distribution applications for a global asset-management environment. This role blends hands-on ...

Serve as the primary contact and trusted advisor for client executives - CMO, CDO, CIO, and often CEO - on data and AI transformation. * Win engagements: develop the client portfolio, grow the US ...

New

Marketing Analyst

Boulder, CO · On-site

$60K - $90K/yr

Overview: ROR Partners is a thriving client-driven media marketing and data company. We offer proven marketing solutions to a variety of vertical industries on a nationwide basis. We are seeking an ...

Actuar como interlocutor tecnico-funcional entre las areas de Marketing, Captacion, Tecnologia, Data y proveedores externos, asegurando una correcta traduccion de necesidades de negocio en soluciones ...

Marketing Coordinator

Fairfax, VA · On-site

$62K - $81K/yr

Be part of a team influencing the future of global clinical data management by helping us to analyze and improve clinical data workflows across the Federal Government. This is NOT a digital marketing ...

Marketing Coordinator

Fairfax, VA · Remote

$43K - $59K/yr

Be part of a team influencing the future of global clinical data management by helping us to analyze and improve clinical data workflows across the Federal Government. This is NOT a digital marketing ...

Showing results 21-40

Data Marketing information

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How much do data marketing jobs pay per hour?

As of Aug 21, 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 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.

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

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 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 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.

What are data marketing jobs?

Data marketing jobs involve analyzing and using data to develop marketing strategies, improve customer targeting, and measure campaign effectiveness. Roles often require skills in data analysis, marketing tools, and understanding consumer behavior, with common positions including data analysts, marketing analysts, and digital marketing specialists.
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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,479 per year, or $38.7 per hour.

Data & Marketing Systems Quant Analytics Lead-Senior Associate

JP Morgan Chase

Wilmington, DE

Full-time

Medical, Retirement

Posted 22 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Shape how marketing execution uses data-at scale and with strong controls-to deliver more relevant customer experiences. In this role, you will modernize targeting data, reduce manual reporting through automation, and improve reliability with proactive monitoring. You will partner across Product, Technology, and business stakeholders to bring measurable outcomes to life while enabling responsible use of artificial intelligence.

Job summary 
As a Data Management Lead in the Marketing Execution team, you will design and run data strategies that improve audience targeting, measurement, and operational efficiency. You will turn business needs into clear, testable requirements and repeatable datasets that support consistent delivery. You will implement monitoring and quality checks to detect issues early and protect performance. You will help teams adopt responsible "human-in-the-loop" ways of working for AI-supported execution. You will quantify and communicate value through cycle-time reduction, hours saved, and audience quality improvements.


You will help establish reusable audience frameworks and documentation that accelerate delivery and reduce rework. You will collaborate closely with Product and Technology to ensure new capabilities include clear controls, explainability expectations, and measurable success criteria. You will build strong relationships across workstreams and drive adoption of best practices for standardization and reusability.


Job responsibilities
  • Develop and implement data management strategies for marketing execution, including AI-assisted data quality monitoring and automated operational reporting to reduce manual effort and improve reliability
  • Leverage data from systems of record to refine targeting and optimize performance, incorporating advanced analytics and machine learning-informed insights (for example, propensity and suppression inputs) where approved
  • Drive adoption of best practices for standardization and reusability of marketing data outputs, including reusable audience frameworks and generative AI-accelerated documentation (requirements, definitions, quality assurance checklists)
  • Manage execution, monitoring, and quality of data initiatives to support message-driven audience targeting, including proactive issue detection through alerts and anomaly flags
  • Collaborate with Product and Technology to orchestrate requirements and delivery plans for product development, omnichannel initiatives, and system implementations, ensuring AI-enabled capabilities have clear controls and measurable outcomes
  • Build strong working relationships across workstreams and stakeholders, and help drive adoption of human-in-the-loop operating models that enable safe scaling of AI-supported execution
  • Partner with business leadership to define priorities and oversee execution, including quantifying value from automation and AI (cycle-time reduction, business-as-usual hours saved, audience quality improvements, performance lift)

Required qualifications, capabilities, and skills
  • Bachelor's degree in Data Science, Statistics, Information Systems, or related field
  • Experience in data analytics or customer segmentation, with ability to connect analytics outputs to campaign execution outcomes
  • Proficiency with tools such as SQL, Python, Excel, Tableau, Adobe, and Segment, with ability to build repeatable datasets and automation-friendly outputs
  • Ability to translate business requirements into technical specifications and communicate complex topics to non-technical partners
  • Knowledge of digital marketing principles and measurement, with ability to run structured test-and-learn optimization
  • Ability to build cross-functional relationships and drive change adoption across stakeholders
  • Strong communication skills, including ability to explain AI-supported decisions and controls clearly and without jargon

Preferred qualifications, capabilities, and skills
  • Experience in marketing operations and marketing technology, including familiarity with AI-enabled targeting or decisioning
  • Proficiency in project management and agile tools (for example, Microsoft Project, Excel, PowerPoint, Jira, Confluence), with ability to run automation-first plans and track value realization
  • Experience with customer data platforms and marketing automation tools (for example, Salesforce, Segment, SAS, Adobe, Microsoft), including incorporating model outputs into activation where permitted
  • Experience working with agencies or consultancies, with ability to translate vendor capabilities into governed requirements suitable for a bank environment
  • Ability to manage multiple initiatives under tight deadlines while maintaining quality through automation and AI-assisted analysis
  • Strong relationship development and negotiation skills, including aligning partners on responsible AI use, governance needs, and measurable success criteria

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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