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Marketing Analytics Jobs in Ohio (NOW HIRING)

The Marketing Analytics Manager will lead the measurement, insights, and data strategy that power marketing effectiveness and customer growth. This role is responsible for turning complex customer ...

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Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

Any other reasonable activity as directed by the Pricing and Marketing Analytics Manager. * QUALIFICATIONS * Bachelor's degree in marketing, quantitative discipline, or business related field * 2+ ...

Any other reasonable activity as directed by the Pricing and Marketing Analytics Manager. * QUALIFICATIONS * Bachelor's degree in marketing, quantitative discipline, or business related field * 2+ ...

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Marketing Analytics information

See Ohio salary details

$34.7K

$90.1K

$136.4K

How much do marketing analytics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for marketing analytics in Ohio is $90,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,300.00 and $105,500.00 per year, depending on experience, location, and employer.

What is marketing analytics?

A Marketing Analytics job involves collecting, analyzing, and interpreting data to measure the effectiveness of marketing campaigns and strategies. Professionals in this role use tools like Google Analytics, SQL, and data visualization platforms to track key performance metrics. Their insights help businesses optimize marketing efforts, improve customer targeting, and increase ROI. They often collaborate with marketing, sales, and product teams to drive data-driven decision-making. Skills in data analysis, statistics, and predictive modeling are highly valuable in this role.

What does a marketing analytics professional do?

In a Marketing Analytics role, your daily responsibilities may include collecting and analyzing marketing data, tracking campaign performance, building and updating dashboards, and generating reports to support decision-making. You’ll regularly collaborate with marketing, sales, and product teams to interpret results and provide actionable recommendations. Additionally, you may be involved in A/B testing, customer segmentation, and identifying market trends to help optimize marketing strategies. The role often requires balancing both short-term campaign analysis and long-term strategic reporting.

What are the key skills and qualifications needed for marketing analytics?

To thrive in Marketing Analytics, you need a strong analytical mindset, expertise in statistical methods, and a relevant degree such as marketing, statistics, or business. Proficiency in data analysis tools like Google Analytics, Tableau, SQL, and knowledge of marketing automation platforms is highly valued, and certifications in analytics or digital marketing can be advantageous. Strong communication, teamwork, and the ability to translate complex data into actionable insights are important soft skills for this role. These skills enable you to drive data-informed marketing strategies that improve campaign effectiveness and business outcomes.

Is marketing analytics a good job?

Marketing analytics is a growing field that involves analyzing data to improve marketing strategies and decision-making. It typically requires skills in data analysis, statistics, and tools like Excel, SQL, or Tableau. The role offers opportunities for advancement and often involves a collaborative work environment, making it a valuable career choice for those interested in data-driven marketing.

What can you do with a marketing analytics degree?

A marketing analytics degree prepares individuals for roles such as marketing analyst, data analyst, or digital marketing specialist. Graduates can analyze consumer data, measure campaign performance, and use tools like Excel, SQL, and marketing platforms to inform strategic decisions. These roles often require strong analytical skills and knowledge of data visualization and reporting.

What are the most commonly searched types of Marketing Analytics jobs in Ohio?

The most popular types of Marketing Analytics jobs in Ohio are:

What cities in Ohio are hiring for Marketing Analytics jobs?

Cities in Ohio with the most Marketing Analytics job openings:

Infographic showing various Marketing Analytics job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 87% In-person, 5% Hybrid, and 8% Remote job distribution, with an average salary of $90,133 per year, or $43.3 per hour.

Marketing Analytics Manager

Boston Heights, OH • On-site


Arhaus
Retail • 1 - 5K employees

7.9

Company rating: 7.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

10th of 63 rated furniture retailers

People enjoy working here

Good employer

Recommended by parents


Other

This job post has expired today. Applications are no longer accepted.


Job description

Arhaus was founded in 1986 on a simple idea: Furniture and décor should be sustainably sourced, lovingly made, and built to last. Today, we partner with artisans around the world who share our vision, creating beautiful, heirloom-quality pieces that can be used—and loved—for generations.


The Marketing Analytics Manager will lead the measurement, insights, and data strategy that power marketing effectiveness and customer growth. This role is responsible for turning complex customer, media, and sales data into clear insights that drive smarter marketing investment, improved customer experiences, and profitable omnichannel growth.


Essential Duties & Responsibilities:


Marketing Analytics & Measurement

  • Own marketing measurement strategy across paid media, owned channels, retail, and e-commerce
  • Develop and maintain attribution models, incrementality testing, and marketing mix modeling to guide media investment decisions
  • Analyze campaign performance across channels to optimize spend, creative, and audience strategy
  • Define and track core marketing KPIs including ROAS, CAC, conversion, traffic, and channel efficiency
  • Build executive-ready dashboards and reporting that clearly link marketing activity to revenue and profit


Customer Analytics & Insights

  • Lead customer analytics strategy including segmentation, cohort analysis, and predictive modeling
  • Develop a deep understanding of customer behavior across POS, e-commerce, CRM, loyalty, and digital touchpoints
  • Identify insights that inform customer acquisition, retention, cross-sell, and repeat purchase strategies
  • Apply analytics to improve the customer journey for considered, high-value purchases typical of furniture retail
  • Serve as the voice of the customer by translating data into actionable recommendations for marketing, merchandising, and store experience


Experimentation & Optimization

  • Establish a rigorous test-and-learn framework including A/B testing, holdout testing, and personalization experiments
  • Measure and optimize lifecycle marketing programs (email, SMS, CRM, loyalty)
  • Evaluate new channels, tactics, and technologies through structured experimentation and performance analysis


Data Strategy, Tools & Governance

  • Partner with IT and Data teams to ensure clean, reliable, and integrated data across marketing, POS, and e-commerce systems
  • Own analytics tools, including BI platforms, attribution tools, and CRM/CDP analytics capabilities
  • Improve data accessibility and self-service analytics while maintaining strong governance and data quality standards


Leadership & Collaboration

  • Lead, mentor, and develop a high-performing team of marketing and customer analysts
  • Collaborate closely with Growth Marketing, Brand, E-commerce, Retail, and Merchandising teams
  • Present insights, performance trends, and strategic recommendations to senior leadership and executive stakeholders


Requirements:

  • 5-8 years of experience in marketing analytics, customer analytics, or data leadership roles
  • Strong background in omnichannel retail analytics, preferably in furniture, home goods, or other considered-purchase categories
  • Deep expertise in marketing measurement, attribution, experimentation, and customer analytics
  • Hands-on experience with tools such as Google Analytics, BI platforms (Tableau, Looker, Power BI, Qlik), CRM/CDP systems, and POS/e-commerce data
  • Strong business acumen with the ability to translate data into clear, actionable insights
  • Excellent communication and storytelling skills, comfortable influencing senior leaders
  • This role is required to be on site 4 days per week in our Boston Heights, OH office.


Arhaus is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Arhaus is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Arhaus are based on business needs, job requirements, and individual qualifications, without regard to race, color, sex, sexual orientation, gender identity, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Arhaus will not tolerate discrimination or harassment based on any of these characteristics. Arhaus encourages applicants of all ages.


AI Code of Conduct

At Arhaus, we believe great hiring starts with authentic human connection. Throughout your candidate experience, you will be engaging with real recruiters, hiring managers, and interviewers who are focused on getting to know you, your experiences, skills, perspectives, and potential. We encourage candidates to use AI to support resume refinement, interview preparation, brainstorming, and communication. All application materials, assessments, and interview responses must accurately reflect your own experiences, qualifications, and capabilities. We ask that you participate in phone and virtual interviews without using AI to develop your responses. To protect the integrity of our hiring process and the confidentiality of information shared during interviews, candidates may not record, transcribe, or use AI-powered note-taking tools during interviews. We expect all candidates to participate in the hiring process with honesty and integrity. For take-home assignments or role-specific assessments where AI use is permitted, we request transparency on which specific tools were used and how the tools were used and expect an explanation of your approach, contributions, and decision-making.



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