Marketing Analytics Manager

Essense of Australia•Lenexa, KS

About The Position

Essense of Australia is an international bridal wholesaler with key offices based in Lenexa, Kansas, Perth, Australia, and Zug, Switzerland. Our organization also operates in the United Kingdom, Europe, Canada, and New Zealand. We have been a global leader in bridal fashion for over 20 years and our designs are currently sold in nearly 1,000 stores worldwide. With innovative designs and a strong customer service approach, Essense of Australia is a dynamic company that rewards excellence, drive, and collaboration. The Role At Essense, we thrive on creativity, entrepreneurial spirit, and innovation—but we balance that with the data, structure, and analytical mindset that keeps us moving forward. We’re looking for a Marketing Analytics Manager to help shape the future of data-driven marketing at Essense. The Marketing Analytics Manager plays a key role in elevating how global marketing decisions are made across the company. This is a hands-on strategic and technical leadership role responsible for advancing our analytics roadmap and driving deeper insight into the full marketing funnel—from awareness to appointment to sale. You will partner closely with Digital Ads, Social, SEO, Retail, Web Experience, and Business Intelligence teams to ensure accurate measurement, develop advanced reporting solutions, and unlock insights that enable smarter marketing investments and stronger business performance. This role requires someone who is equal parts analyst, strategist, architect, and communicator—comfortable both building the work and setting direction for others .

Requirements

Bachelor’s degree in Marketing, Data Science, Statistics, Math or a related field (or equivalent experience).
3+ years of hands-on experience in marketing analytics and performance reporting.
1+ year of team or project leadership experience (formal or informal).
Strong experience with: GA4 and Google Tag Manager Looker Studio, Tableau, Qlik or similar visualization tools Marketing performance tracking across paid media, search, social, and web journeys SQL Experience designing or analyzing A/B tests.
Familiarity with ETL concepts and working with data pipelines.
Excellent problem-solving, communication, and presentation skills.
Highly analytical with a proven ability to turn complex data into actionable insights.
A strong communicator who can clearly explain technical concepts to non-technical audiences.
Organized, proactive, and comfortable managing multiple priorities.
Curious and growth-oriented, always looking for ways to elevate our maturity in analytics.
Skilled at leading others—either directly or through influence—and nurturing a culture of data literacy.

Nice To Haves

Experience with AI/ML applications in marketing.
Experience working with global brands or multi-site retail environments.
Experience with cloud data warehouses (BigQuery, Redshift, Azure).
Experience with marketing attribution modeling.

Responsibilities

Lead and evolve the marketing analytics roadmap to support business priorities and growth goals.
Serve as a key thought partner to senior leadership, providing insights that guide budget allocation, channel strategy, and campaign optimization.
Oversee reporting across the full marketing funnel, developing KPIs and dashboards that clarify performance, attribution, and ROI.
Ensure data quality and governance across marketing platforms, proactively resolving and tracking integration issues.
Drive collaboration with social, SEO, and ads teams across both retail and wholesale businesses to evaluate channel performance and customer behavior.
Identify opportunities for improved targeting, customer journey optimization, and marketing effectiveness.
Establish best practices for reporting, documentation, dashboard development, and measurement frameworks.
Oversee marketing data sources, storage, taxonomy, and governance.
Partner with Business Intelligence to strengthen our marketing data architecture, including pipelines, data layer enhancements, access controls, and privacy compliance.
Lead the digital A/B and multivariate testing roadmap, ensuring statistical rigor and actionable outcomes.
Translate results into business impact summaries and present findings to stakeholders.
Support personalization and conversion optimization initiatives across our digital properties.
Explore and implement AI/ML opportunities to enhance targeting, segmentation, prediction, and personalization.
Pilot new technologies that elevate the sophistication of our analytics capabilities.
Partner with Dev and/or BI teams on predictive models that support audience insights and marketing decision-making.