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Ai Training For Marketing Analytics Jobs (NOW HIRING)

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Director Marketing Analytics

Lead the marketing org's AI and automation strategy for analytics, identifying where machine learning, predictive scoring, and AI-generated insights can accelerate speed-to-insight * Establish a ...

Okta

Director, Marketing Analytics

Bellevue, WA · On-site

$240K - $330K/yr

Implement AI/ML capabilities for predictive modeling and automated insights * Support marketing ... Stay current with analytics tools and methods to drive competitive advantage What We're Looking For ...

Beazer Homes

Marketing Analytics Mgr

Atlanta, GA · Remote

The Marketing Analytics Manager is responsible for owning performance measurement and insight ... Support AI-driven insight generation and pattern detection in alignment with the Director ...

Gabb Wireless

Marketing Analytics Engineer

Lehi, UT

About the Role Gabb is looking for an analytically sharp, technically fluent Marketing Analytics ... Practical familiarity with AI-assisted development - comfortable using AI to generate scripts ...

Marqeta

Director Marketing Analytics

... org's AI and automation strategy for analytics, identifying where machine learning, predictive scoring, and AI-generated insights can accelerate speed-to-insight • Establish a culture of ...

Taoti

Marketing & Analytics Manager

Washington, DC · On-site

We don't consider AI chops a 'nice to have' skillset for this role. It's a job requirement. (Tip ... email marketing, web content, analytics, analysis, and reporting. You'll be involved with ...

ASCENSUS

Director of Marketing Analytics

Newton, MA · On-site

This role is responsible for evaluating the effectiveness and efficiency of marketing activity ... Use AI to improve analytics workflows and insight generation, including applications that ...

ONE

Marketing Analytics Lead

$200K - $230K/yr

... AI tools to automate reporting, accelerate ad-hoc analysis, and free the team for higher-value ... We then source candidates with the requisite skills, expertise, education, training, and experience.

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All JobsAi Training For Marketing Analytics Jobs

Ai Training For Marketing Analytics information

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$36.5K

$94.8K

$143.5K

How much do ai training for marketing analytics jobs pay per year?

As of Aug 4, 2026, the average yearly pay for ai training for marketing analytics in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What is AI training for marketing analytics?

AI training for marketing analytics involves teaching artificial intelligence systems to analyze marketing data and provide insights that help businesses make data-driven decisions. This process includes feeding the AI large datasets related to customer behavior, campaign performance, and market trends, allowing it to identify patterns and predict outcomes. Businesses use these AI-driven insights to optimize marketing strategies, personalize customer experiences, and improve return on investment. The training process often combines machine learning algorithms, data cleaning, and continuous updates as more data becomes available.

What is the difference between Ai Training For Marketing Analytics vs Data Analyst?

AspectAi Training For Marketing AnalyticsData Analyst
Required CredentialsOften includes certifications in AI, machine learning, and marketing analytics toolsTypically requires degrees in statistics, data science, or related fields
Work EnvironmentMarketing teams, AI training platforms, data-driven marketing departmentsBusiness, finance, or tech companies analyzing data sets
Employer & Industry UsageUsed by marketing agencies, tech firms, and companies focusing on marketing optimizationWidely used across industries for data interpretation and reporting

Ai Training For Marketing Analytics focuses on teaching marketing professionals how to leverage AI tools and techniques to optimize marketing strategies. In contrast, Data Analysts analyze data sets to generate insights across various business functions. While both roles require analytical skills, Ai Training For Marketing Analytics emphasizes AI applications in marketing, whereas Data Analysts have a broader scope in data interpretation across industries.

What are the key skills and qualifications needed to thrive in AI Training for Marketing Analytics, and why are they important?

To excel in AI Training for Marketing Analytics, you need a solid background in data analysis, machine learning concepts, and marketing strategies, typically supported by a degree in data science, marketing, or a related field. Familiarity with tools such as Python, R, SQL, and machine learning platforms like TensorFlow or scikit-learn, along with certifications in analytics or AI, is highly beneficial. Strong critical thinking, problem-solving abilities, and effective communication skills help translate complex data insights into actionable marketing strategies. These skills are crucial for driving data-driven decision-making, optimizing campaigns, and maintaining a competitive edge in the rapidly evolving marketing landscape.

How does an AI Training for Marketing Analytics professional typically collaborate with marketing and data science teams?

An AI Training for Marketing Analytics professional often acts as a bridge between marketing strategists and data scientists. They work closely with marketing teams to understand campaign goals and relevant business metrics, while partnering with data scientists to ensure that AI models are trained on accurate, relevant datasets. This role involves frequent communication to translate marketing needs into technical requirements, troubleshoot data quality issues, and evaluate model outputs for actionable insights. Effective collaboration ensures that AI-driven analytics align with business objectives and deliver measurable results.
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What cities are hiring for Ai Training For Marketing Analytics jobs? Cities with the most Ai Training For Marketing Analytics job openings:
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Ai Training For Marketing Analytics jobs near you
Infographic showing various Ai Training For Marketing Analytics job openings in the United States as of July 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Part Time. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $94,807 per year, or $45.6 per hour.

Head of Marketing Analytics Insights & AI Leader

Merck Group

Burlington, MA • On-site

$178K - $267K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago

Job description

Work Your Magic with us! Start your next chapter and join MilliporeSigma.
Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.
Your Role:
We're looking for a bold, forward-thinking leader to redefine how marketing analytics leverages VOC-driven AI to unlock value at scale. Lead an AI-centric marketing analytics operating model as a data product factory. Lead the team that owns the full product lifecycle, from data strategy and governance to AI-driven insights, VOC/research, and lifecycle metrics. Spearhead AI use cases for the Marketing Center with rigorous success metrics. Center VOC insights as a core input to every analytics initiative, acting as a change agent to embed a data-first culture and clear ROI visibility. Architect scalable governance and capabilities to sustain AI-driven marketing outcomes; report directly to the CMO.
Key Responsibilities:
  • Deploy 2-3 flagship AI use cases across VOC automation and personalized experiences.
  • Establish AI governance for marketing.
  • Create scalable data products and analytics services powering marketing decisions.
  • Analytics as product and governance: deliver actionable dashboards and end-to-end analytics products; own lifecycle from requirements to post-implementation reviews.
  • 12-24 month roadmap: define a concrete plan for marketing analytics data architecture, alignment with MarTech strategy, VOC execution, clear marketing KPIs
  • Standardize workflows, versioning, and cross-functional SLAs with Marketing, IT, and Commercial.
  • VOC and CX as data products: translate insights into actions; fill gaps, measure impact and ROI; drive Net Promotor Score (NPS)/CX improvements.
  • Change management and adoption: accelerate analytics adoption with clear comms, training, incentives, and executive sponsorship; upskill marketing teams.
  • COE integration and leadership: participate in Marketing COE; partner with stakeholders; provide insights to marketing center teams, report ROI to executives.

What success looks like (outcome-focused)
  • Improved ROMI and AI-driven revenue impact.
  • Faster time-to-insight and decision velocity.
  • Efficiency gains from automated data workflows.
  • Adoption and measurable business uplift from AI initiatives.

Data products (examples)
  • Predictive LTV and churn/propensity models for targeting/retention.
  • Centralized marketing data platform unifying CRM/MA/web/VOC.
  • MMM/MTA pipelines for attribution and channel optimization.
  • VOC -influenced campaigns and ROI measurement.
  • Audience segmentation datasets and AI-driven insights library.
  • Experimentation templates and ROI-focused analytics.

This may be a remote role located in the U.S.
Who You Are:
Minimum Qualifications:
  • Education: Bachelor's degree; MBA/MS preferred.
  • Experience: 8+ years in marketing analytics/insights with demonstratable literacy in AI governance models and managing across global marketing organization.
  • Team leadership experience driving transformation within Marketing Analytics.
  • AI/ML assets and reuse: implement governance; deliver MVPs and reusable pipelines; maintain a central knowledge base.
  • Generative/agentic approaches: apply prompt engineering and orchestration patterns (e.g., RAG, agents) for scalable outcomes.
  • Data governance and privacy: ensure lineage, tagging, attribution, privacy/compliance, and interoperability across systems; codify standards with IT, Legal.
  • End-to-end ownership.
  • Analytics-as-product: proven ability to build, scale, and drive adoption of analytics products (not just dashboards).
  • Governance and data literacy: strong understanding of MarTech stacks, data architectures, and privacy/compliance.
  • Technical: SQL proficiency; ability to translate data into actionable strategies and ROI.
  • Change management and storytelling: strong influence across functions.
  • Collaboration: experience partnering with IT, D&A, Product Management in regulated contexts.

Preferred Qualifications:
  • Life Science/healthcare marketing experience.
  • VOC/survey design and Net Promoter Score program experience.
  • BI tooling expertise (Tableau, Power BI, Looker).
  • End-to-end process mapping and AI-centered initiative leadership.

Pay Range for this position: $178,600 - $267,800
The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here.
Direct link to benefits site if the hyperlink no longer works: https://careers.emdgroup.com/us/en/benefits].
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Apply