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Data Analytics Marketing Jobs in Ohio (NOW HIRING)

Digital Analyst (CPG)

Cincinnati, OH · Hybrid

$94K - $111K/yr

Are you passionate about digital marketing and data analytics ? Join our team and help manage, measure, and optimize campaigns on Kroger's advertising platform while turning data into actionable ...

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Senior Data Analytics & Insights Analyst

Westlake, OH · On-site

$79K - $100K/yr

... marketing approach, and delivering world class service. This is all powered by our focus on hiring ... Job Summary The Senior Data Analytics and Insights Analyst will lead the development of cutting ...

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Data Analytics Marketing information

See Ohio salary details

$64.2K

$93K

$113.6K

How much do data analytics marketing jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analytics marketing in Ohio is $93,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $102,200.00 per year, depending on experience, location, and employer.

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.

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

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.

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 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.

Can data analytics be used in marketing?

Data analytics is a key component of marketing roles such as Data Analytics Marketing, enabling professionals to analyze customer data, measure campaign performance, and identify market trends. Skills in tools like Excel, SQL, and visualization software are often required to interpret data effectively and inform marketing strategies.

What does a data analytics marketing do in marketing?

A data analytics marketing professional analyzes large sets of marketing data to identify trends, measure campaign performance, and inform strategic decisions. They often use tools like Excel, SQL, or marketing analytics platforms to optimize marketing efforts and improve ROI.

What are popular job titles related to Data Analytics Marketing jobs in Ohio?

For Data Analytics Marketing jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Data Analytics Marketing job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,010 per year, or $44.7 per hour.

Manager, Digital Analytics - Marketing Integrations

Victoria's Secret

Reynoldsburg, OH • On-site

$112K - $153K/yr

Full-time

Re-posted 22 days ago


Key responsibilities

  • Own digital analytics for marketing and media integrations, ensuring data capture strategy, implementation quality, and production stability.

  • Serve as the primary liaison to Marketing, Media, and Growth teams to translate campaign strategies into measurement and instrumentation plans, and partner with implementation teams to execute these requirements.

  • Lead and oversee the execution of analytics initiatives within a global delivery model, ensuring quality, prioritization, and accountability across workstreams.


Victoria's Secret rating

6.3

Company rating: 6.3 out of 10

Based on 400 frontline employees who took The Breakroom Quiz

43rd of 104 rated fashion retailers


Job description

Your Role
We are seeking a Manager, Digital Analytics to join our Global Digital Analytics team, owning marketing integrations and digital data strategy across the business. This is a U.S.-based, hybrid role with direct and indirect team leadership and end-to-end technical ownership.
This role serves as the single-threaded owner of digital analytics for marketing and media integrations-accountable for data capture strategy, implementation quality, and production stability. This leader sets direction, makes critical decisions, and ensures seamless execution across internal teams and external partners.
As the primary liaison to Marketing, Media, and Growth teams, you will translate campaign strategies and business objectives into scalable, accurate data capture and measurement frameworks. In parallel, you will partner closely with engineering and implementation teams to ensure those requirements are executed with precision.
This role operates within a global delivery model, with direct or indirect ownership of offshore (BLR) resources responsible for execution. While work may be distributed, accountability sits fully with this role to ensure consistency, quality, and operational rigor.
This role is ideal for a technically deep, business-oriented analytics leader who can operate as both strategic partner and technical authority, driving impact at the intersection of data, marketing, and customer experience.
Your Impact
Technical Ownership & Business Integration Leadership
• Serve as the single accountable owner for digital analytics across marketing and media integrations
• Act as the primary liaison to Marketing, Media, and Growth teams, ensuring campaign strategies are translated into clear, scalable measurement and instrumentation plans
• Define and evolve data capture requirements to support paid media, lifecycle marketing, attribution, and personalization use cases
• Partner with implementation teams (internal + external) to translate business needs into technical execution, ensuring accuracy and consistency
• Own decision-making related to production health, release risk, and issue resolution, including overseeing urgent fixes or rollbacks as needed
• Lead and oversee execution through a global delivery model (including BLR team), ensuring quality, prioritization, and accountability across all workstreams
Adobe Experience Cloud Leadership
• Own and evolve marketing analytics strategy and implementation across:
o Adobe Web SDK and App SDK
o Adobe Tags (Adobe Launch) and Adobe Data Collection
o Adobe Analytics, Adobe Experience Platform (AEP), and Customer Journey Analytics (CJA)
o Adobe Edge Network and Real-Time CDP event forwarding
• Maintain deep expertise in libraries, dependencies, publishing cadences, and version control, with a clear understanding of downstream impacts
Instrumentation, Integration, and Debugging
• Lead front-end pixel implementations with strong JavaScript expertise
• Partner with engineering teams on back-end Conversion API (CAPI) integrations
• Ensure accurate, scalable instrumentation through strong command of data layers and XDM schemas
• Validate, triage, and debug analytics implementations across web and mobile apps
• Diagnose and resolve discrepancies across platforms, vendors, and datasets
Analytics Operations and Governance
• Establish and enforce operational standards, including:
o Tagging documentation
o Data QA and validation frameworks
o Release management and version control practices
• Lead initiatives such as tagging audits, dashboard migrations, and analytics tool rollouts
• Own intake and triage processes for analytics requests, ensuring visibility, prioritization, and alignment to business goals
Strategy, Insights, and Stakeholder Partnership
• Serve as the voice of analytics to marketing and media stakeholders, shaping measurement strategy and enabling campaign optimization
• Translate complex analytics concepts into clear business implications to influence decision-making
• Partner with Marketing, eCommerce, and CX teams to ensure data capture aligns to critical business objectives and KPIs
• Drive alignment between business strategy, measurement frameworks, and technical execution
• Represent analytics in leadership forums as the owner of marketing data strategy and performance integrity
• Maintain strong vendor relationships and guide external integration partners
People Leadership and Development
• Directly manage and coach analysts, fostering growth in analytical thinking and business context
• Conduct performance reviews, career development planning, and continuous upskilling
• Encourage root-cause analysis and elevate work beyond reporting into insight generation
• Establish structured approaches for delivering clear, compelling data narratives
• Lead a distributed team model (including BLR resources), driving accountability and consistent ways of working across geographies
Click here for benefit details related to this position.
• High curiosity, strong problem-solving skills, and passion for digital analytics
• 7-9 years experience in digital analytics or quantitative analysis for digital products
• 4+ years of hands-on experience with Adobe Analytics
• 4+ years of experience with tag management platforms (Adobe Launch, Tealium, etc.)
• Deep expertise in Adobe Experience Cloud (Web SDK, App SDK, AEP, CJA, Data Collection)
• Strong understanding of:
o Web analytics and tag management ecosystems
o Front-end pixel implementation and JavaScript
o Back-end Conversion APIs (CAPI)
o Data layers, XDM schemas, and event-based architecture
• Proven experience acting as a technical owner in a production analytics environment
• Demonstrated ability to make independent, risk-aware decisions under pressure
• Experience managing teams and influencing cross-functional stakeholders
• Strong familiarity with eCommerce KPIs and digital marketing ecosystems
• Excellent communication skills (technical and business translation)
• Experience with JIRA and Agile / DevOps environments
• Product Management experience in Agile or DevOps environments
• B2C eCommerce experience (retail, beauty, fashion, apparel)
• Experience leading global or distributed analytics teams
• Proven ability to mature analytics operations and measurement frameworks
We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws. Please see links: California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Philadelphia Fair Chance Law, San Francisco Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance
An equal opportunity employer, we do not discriminate in hiring or terms and conditions of employment because of an individual's race, color, religion, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, marital status or any other protected category recognized by state, federal or local laws. We only hire individuals authorized for employment in the United States.

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