A Marketing Analytics Manager oversees and implements all automated marketing campaigns for a company. Establishes analytics to understand how inbound marketing activity converts into sales or customer retention. Establishes strategies to understand and solve complex marketing problems by the interrogating large data sets, analyzing the results, and gaining insight. May manage a team of analysts.
Marketing Analytics Manager at Arhaus Marketing Analytics Manager at Arhaus in Peninsula, Ohio Posted in 3 days ago.
Type:
full-time
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.
