Omnichannel Marketing Analyst

Benefit Cosmetics•San Francisco, CA

8d•$90,000 - $138,000•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

familiarity with statistical modeling and A/B testing a bonus.

Responsibilities

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.