Product Marketing Analyst

Benefit Cosmetics•San Francisco, CA

7d•$90,000 - $125,000•Hybrid

About The Position

The Product Marketing Analyst supports informed decision-making by delivering accurate analysis and reporting for key product categories. The role maintains strong data governance and reliable data management to provide valuable insights. Through analysis, dashboard maintenance, and clear communication of findings, the analyst helps teams understand performance, identify opportunities, and improve outcomes. The role collaborates across departments on analytical projects and refines reporting processes to keep reporting and analysis effective and scalable. The position is hybrid and requires onsite presence three times per week at Benefit HQ.

Requirements

Bachelor’s degree in Analytics, Statistics, Mathematics, Business, or a related field; equivalent experience may be accepted.
2–3 years of experience in data analysis, customer insights, research, or business intelligence.
Working knowledge of data structures, data modeling, and data warehousing concepts.
Strong proficiency in Excel, including pivot tables and advanced functions.
Experience with data visualization tools such as Power BI or Tableau.
Experience working collaboratively with cross-functional teams.
Familiarity with data classification, basic analytical frameworks, and statistical concepts.

Nice To Haves

Experience with retail or wholesale data or business concepts.
Beauty industry experience.

Responsibilities

Maintain, update, and refine product data classifications and taxonomy across all SKUs, including supporting new product launches and aligning classifications with analytical needs.
Collaborate with the operations team to understand system capabilities for strategic analysis.
Oversee internal databases through monthly refreshes, historical updates, and data validation processes to ensure data accuracy and completeness.
Improve the efficiency, accuracy, and scalability of reporting and analysis workflows.
Execute and maintain analyses and monthly reporting on strategic categories and products using internal and external datasets, including sales, NPD, and market share data.
Support complex, ad hoc, and exploratory analyses by preparing datasets, conducting initial analyses, and developing visualizations.
Pull, clean, and validate data from multiple sources; maintain data structures and classifications; and support quality assurance processes.
Translate data into clear insights and findings to support recommendations and stakeholder decision-making.
Build and maintain dashboards aligned with established frameworks, collaborating with technical teams to ensure data accuracy and timely delivery.
Support cross-functional analytical initiatives by coordinating timelines, aligning inputs across teams, and tracking deliverables.