Bachelor's degree in Marketing, Analytics, Statistics, Mathematics, Business, or related fields (equivalent experience accepted).
2-3 years in data analysis, customer insights, research, or business intelligence, with a focus on marketing analytics.
Strong proficiency in Excel, including pivot tables and advanced functions.
Experience with qualitative analysis; familiarity with statistical modeling and A/B testing preferred.
Working knowledge of data modeling, data structures, and data warehousing.
Experience with data visualization tools (e.g., Power BI, Tableau).
Experience in retail/wholesale data preferred; beauty industry experience is a strong plus.
Responsibilities
Conduct market research, segmentation, and social listening to identify beauty trends and consumer behaviors.
Analyze marketing campaigns and initiatives; evaluate metrics, creative outputs, and cross-channel activation to derive insights.
Prepare monthly reports on customer behavior, social performance, and competitive analysis, integrating financial data for guidance.
Monitor KPIs to detect performance shifts and inform optimization efforts.
Design measurement frameworks to assess brand impact and marketing effectiveness, including testing strategies and benchmarks.
Develop scalable dashboards; collaborate with technical teams to automate reporting and validate data accuracy.
Translate data findings into actionable insights to inform decision-making across teams.
Benefits
Comprehensive health, dental, and vision plans.
401(k) plan with employer matching.
Various paid time off programs.
Employee discounts and perks.
Life insurance and disability insurance.
Flexible spending accounts.
Full Job Description
The Omnichannel Marketing Analyst drives data-informed decision-making across OmniChannel marketing through KPI tracking, advanced analytics, and actionable insights. It leads cross-channel performance analysis to evaluate effectiveness, understand customer behavior, and identify opportunities to improve marketing impact, efficiency, and brand love. The role develops and enhances dashboards, research, and reporting to deliver accurate, timely, and actionable performance visibility for global and local teams. Through cross-functional collaboration, it translates data into clear recommendations that inform strategy, optimize performance, and address key business needs.
What You'll Do:
Help work on market research, segmentation and social listening analysis to understand the latest beauty trends, media consumptions, and consumer behaviors.
Execute analysis of marketing campaigns and strategic initiatives across key channels; evaluate performance metrics, creative outputs, cross-channel activation, and consumer trends to surface insights and support recommendations.
Deliver monthly reports on customer behavior, social performance, and the competitive landscape, incorporating financial data to support decision-making.
Regularly monitor key KPIs to track performance shifts and inform optimization.
Support the design of measurement frameworks to assess brand impact and marketing effectiveness, including testing strategies, learning agendas, and benchmarks.
Build and maintain scalable self-service dashboards; partner with technical teams to automate reporting and ensure data accuracy.
Translate data into clear insights and key findings to support recommendations and stakeholder decision-making.
Support data collection, validation, and QA to ensure accurate, reliable reporting.
Leverage tools (e.g., BigQuery) to build automated, scalable data processes and anomaly detection.
Maintain data structures and categorization for consistent analysis.
Support cross-functional analytical initiatives by coordinating timelines, aligning inputs across teams, and tracking deliverables.
Keep teams updated on current digital, consumer, and analytics trends.
Qualifications:
Bachelor's degree in Marketing, Analytics, Statistics, Mathematics, Business, or related fields. Equivalent experience may be accepted.
2-3 years in data analysis, customer insights, research, or business intelligence, specifically in marketing analytics.
Strong proficiency in Excel, including pivot tables and advanced functions.
Experienced with qualitative analysis; familiarity with statistical modeling and A/B testing a bonus.
Working knowledge of data modeling, data structures, and data warehousing.
Experience with data visualization tools (e.g., Power BI, Tableau).
Experience working with cross-functional teams in a collaborative environment.
Experience in retail/wholesale data preferred; beauty industry experience a strong plus.
Schedule:
Hybrid - requires weekly presence at a Benefit Office
The target salary range for this position is $90,000-$138,000 annually. The actual salary offered is based on market location and will depend on a variety of factors, which may include, as applicable, years of relevant experience; certifications or other professional licenses held; other legitimate, non-discriminatory business factors specific to the position; and the geographic location in which the applicant lives and/or from which they will perform the job. This position is eligible to earn an annual bonus. This position is also eligible for the following benefits, including but not limited to: comprehensive health, dental and vision plans; a 401(k) plan with employer matching, various paid time off programs; employee discounts/perks; life insurance; disability insurance; flexible spending accounts.
