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Data Analytics Marketing Jobs (NOW HIRING)

Align marketing analytics with broader departmental OKRs to ensure all data initiatives contribute directly to subscriber scale and profitability Skills, Experience and RequirementsCore Skills and ...

Align marketing analytics with broader departmental OKRs to ensure all data initiatives contribute directly to subscriber scale and profitability Skills, Experience and Requirements Core Skills and ...

TITLE: MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3) LOCATION: MALVERN, PA (HYBRID ROLE) RELOCATION IS FINE DURATION: INITIAL 6-12 MONTHS + OPTIONS TO EXTEND - LONG TERM CONTRACT ROLE ...

Data Analytics Specialist Location: Burlington, MA Duration: 2-Month Contract Position Overview: We ... The position also supports marketing efforts, including promotional campaign analysis and CRM ...

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Data Analytics Marketing information

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$67.5K

$97.8K

$119.5K

How much do data analytics marketing jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data analytics marketing in the United States is $97,833.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $107,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analytics Marketing professional, a strong background in data analysis, marketing principles, and a relevant degree in marketing, statistics, or business is essential. Familiarity with analytics tools such as Google Analytics, Tableau, SQL, and digital marketing platforms is typically required, along with certifications like Google Analytics Individual Qualification (GAIQ). Analytical thinking, creativity, and effective communication are important soft skills for translating data insights into actionable marketing strategies. These skills and qualities are crucial for optimizing campaigns, measuring ROI, and driving data-driven decision-making in competitive marketing environments.

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

AspectData Analytics MarketingData Analyst
Primary FocusUsing data to optimize marketing strategies and campaignsAnalyzing data across various business functions to support decision-making
Skills & CertificationsMarketing analytics tools, digital marketing certifications, data analysisStatistical analysis, SQL, Excel, data visualization
Work EnvironmentMarketing teams, digital agencies, advertising departmentsBusiness intelligence teams, data departments, various industries
Industry UsageMarketing and advertising sectorsMultiple industries including finance, healthcare, tech

While both roles involve data analysis, Data Analytics Marketing specifically focuses on leveraging data to improve marketing efforts, whereas Data Analysts support broader business decisions across various departments.

What is Data Analytics Marketing?

Data Analytics Marketing is the practice of using data analysis techniques to evaluate marketing strategies, campaigns, and customer behaviors. Professionals in this field collect and interpret data from various sources to inform marketing decisions, optimize campaigns, and improve ROI. By leveraging tools like Google Analytics, CRM systems, and machine learning, data analytics marketers can identify trends, segment audiences, and measure the effectiveness of different marketing activities. This approach helps businesses to make data-driven decisions and tailor their strategies for better outcomes.

How do Data Analytics Marketing professionals typically collaborate with other departments to drive campaign success?

Data Analytics Marketing professionals work closely with teams such as product management, sales, creative, and IT to ensure that marketing strategies are data-driven and effective. They often translate complex data insights into actionable recommendations, enabling creative teams to design targeted campaigns and sales teams to focus on high-potential leads. Regular meetings, shared dashboards, and collaborative planning sessions are common methods of cross-departmental teamwork. This collaborative environment helps ensure that marketing initiatives are aligned with overall business goals and customer needs.

What is a data analyst in marketing?

A data analyst in marketing is responsible for collecting, analyzing, and interpreting data related to marketing campaigns, customer behavior, and market trends. They use tools like Excel, SQL, and data visualization software to provide insights that help optimize marketing strategies and improve ROI.

Is 40 too late for data science?

Data analytics marketing professionals can successfully transition into data science at age 40 or older, as skills in data analysis, programming, and statistical tools are learnable at any age. Many data scientists start their careers later in life, and continuous learning through online courses and certifications can facilitate this shift regardless of age.

Can a data analyst work in marketing?

Yes, data analysts can work in marketing by analyzing consumer data, campaign performance, and market trends to inform marketing strategies. They often use tools like Excel, SQL, and data visualization software to support decision-making and optimize marketing efforts.

How can data analytics be used in marketing?

Data analytics in marketing involves analyzing customer data, campaign performance, and market trends to inform decision-making and optimize strategies. Data analysts use tools like Excel, SQL, and visualization software to identify patterns, measure ROI, and personalize marketing efforts, ultimately improving customer engagement and business outcomes.
More about Data Analytics Marketing jobs
What cities are hiring for Data Analytics Marketing jobs? Cities with the most Data Analytics Marketing job openings:
What states have the most Data Analytics Marketing jobs? States with the most job openings for Data Analytics Marketing jobs include:
Infographic showing various Data Analytics Marketing job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 4% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,833 per year, or $47 per hour.
Marketing Data & Analytics Specialist

Marketing Data & Analytics Specialist

First Mid

Saint Peters, MO • On-site

$73K - $91K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago


First Mid Bank & Trust rating

7.8

Company rating: 7.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

67th of 142 rated banks


Job description

At First Mid, base salary is one component of our Total Rewards program. Exact compensation is determined by factors such as (but not limited to) education, skills, internal equity, and experience. This position offers additional compensation in the form of discretionary short-term incentives (i.e. bonus, incentives, and/or commission). Benefits for this role include comprehensive healthcare, well-being benefits, paid family leave as well as generous paid time off. Total Rewards also include banking perks, tuition reimbursement, an Employee Stock Purchase Plan, and a 401K plan with company match. Incentives and benefits are subject to eligibility requirements.
This is a key member of the marketing team’s business strategy and works closely with CMO and Marketing Strategy roles. Entrusted with deriving actionable insights and recommendations from multiple data sources, supports strategic goals through data management, reporting, analysis, customer intelligence, segmentation, targeting, demographics and other business analytics. Owns reporting and analysis for defined business areas. Translates data into insights, identifies performance trends, and partners with Strategy and CRM to support planning and optimization. Preferably leads enterprise‑level analytics, performance measurement, and insight generation. Shapes KPI frameworks, partners with senior leaders, and drives data‑informed decision‑making across Marketing and the business.
Responsibilities include, but are not limited to:
  • Lead analytics strategy for major segments or enterprise initiatives
  • Own reporting and analysis for assigned segments or campaigns
  • Build dashboards, performance summaries, and KPI tracking
  • Develop KPI frameworks, measurement plans, and insight models
  • Translate data into insights and recommendations
  • Improve reporting processes and data visualization
  • Partner with CRM, Strategy, and business lines to support planning and improve data maturity
  • Positions data (knowledge of our customers, products, employees, vendors, and the market at large) as a driver of messaging, budgetary spending, and tactics
  • Ensure data quality and governance across assigned domains
  • Lead analytics strategy for major segments or enterprise initiatives
  • Serves as quality assurance guide for reporting functions within the department
  • Champions data integrity and literacy required for customer-centric efforts.
  • Works with marketing leadership to define standards and parameters of business rules for accuracy, cross-functional alignment, and structural integrity of data, including the creation of process documentation, templates, and systems required for effective data management
Qualifications
Education/Experience:
  • Bachelor’s or advanced degree in marketing, data administration, information systems or equivalent experience.
  • Minimum of 5+ years’ experience in Analytics, Business Intelligence, or Marketing Insights roles.
  • Financial services or regulated industry experience preferred.
Skills:
  • Advanced data analytics, strategic insight development, data storytelling, KPI design and development, enterprise influence, segmentation, and cross‑functional collaboration.
  • Has a working understanding of marketing functions and, in particular, the role that data and technology play in powering those functions
  • Experience with a CRM system, preferable Microsoft Dynamics, and tools comprising the marketing stack
  • Experience creating and delivering marketing metrics related to reports, including ROI
  • Experience in market trends and consumer behavior research.
  • Strong analytical, critical thinking and problem-solving skills.
  • High attention to detail and ability to meet deadlines.