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About the Role
The Product Marketing Analyst supports informed decision-making by delivering accurate analysis and reporting for key product categories. This role guarantees reliable data for valuable insights through strong data governance and consistent management. The analyst helps teams understand performance, identify opportunities, and improve outcomes by analyzing data, maintaining dashboards, and communicating findings. They collaborate across departments to advance analytical projects and refine reporting processes, ensuring reporting and analysis remain effective and adaptable.
Responsibilities
- Maintain, update, and refine product data classifications and taxonomy across all SKUs, including supporting new product launches, ensuring alignment with analytical needs, and collaborating with the operations team to understand system capabilities for strategic analysis.
- Oversee internal databases by conducting monthly refreshes, historical updates, and implementing data validation processes to ensure accuracy and completeness of industry and performance data.
- Implement process improvements to enhance the efficiency, accuracy, and scalability of reporting and analysis workflows.
- Execute and maintain analyses on key strategic categories and products, including monthly reporting, leveraging internal and external datasets to identify trends and support business insights.
- Support complex, ad hoc, and exploratory analyses by preparing datasets, conducting initial analyses, and developing visualizations to develop findings and identify insights.
- Pull, clean, and validate data across multiple sources, maintaining data structures and classifications, and supporting QA processes to ensure accuracy, consistency, and scalability of analysis and reporting.
- Translate data into clear insights and key findings to support recommendations and stakeholder decision-making.
- Build and maintain dashboards aligned to 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.
Requirements
- Bachelor's degree in Analytics, Statistics, Mathematics, Business, or related fields. Equivalent experience may be accepted.
- 2-3 years 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 (e.g., Power BI, Tableau, etc.).
- Experience working with cross-functional teams in a collaborative environment.
- Familiarity with data classification, basic analytical frameworks, and statistical concepts.
- Experience in retail/wholesale data or business concepts preferred; beauty industry experience a strong plus.
Skills
- Excel
- Pivot tables
- Advanced Excel functions
- Data visualization tools
- Power BI
- Tableau
- Data structures
- Data modeling
- Data warehousing
- Data classification
- Analytical frameworks
- Statistical concepts
Location
- California
Work Type
- Hybrid
- Permanent Job
Experience Level
- 2-3 years
Education Level
- Bachelor's degree
Salary/Compensations
- $90,000 - $125,000 annually
Benefits
- Annual bonus
- Comprehensive health, dental and vision plans
- 401(k) plan with employer matching
- Various paid time off programs
- Employee discounts/perks
- Life insurance
- Disability insurance
- Flexible spending accounts
About the Company
- You’re sooo Benefit!