Amazon Beauty, Sales & eCommerce Analytics Manager - Remote but must be local in Connecticut

We are seeking a Manager, Sales Analytics – Amazon Beauty. This role will analyze Amazon sales performance, identify growth opportunities, and deliver actionable insights to support business strategy and decision-making across BaBylissPRO.
The ideal candidate brings strong analytical capabilities, hands-on experience with Amazon eCommerce data, and the ability to translate complex datasets into clear business recommendations. This individual will quickly take ownership of established reporting and work closely with cross-functional partners to evaluate performance and drive growth.
Key Responsibilities
Sales Performance & Reporting

• Own Amazon Beauty performance reporting, including weekly, monthly, and quarterly business reviews.
• Monitor retail sales, units, traffic, conversion, ASP, market share, and digital shelf performance to identify
• business drivers and risks.
• Maintain dashboards and scorecards; translate results into concise insights for business stakeholders.
• Support Sales and Category Management with performance tracking, trend analysis, and inputs to forecasting and business planning.

Market Share & Competitive Intelligence

• Analyze category and subcategory performance, competitive dynamics, and opportunities to gain market
• share.
• Monitor competitors across pricing, promotions, assortment, innovation, and market share.
• Identify and quantify growth opportunities, translating share gaps and competitive trends into business priorities.

Promotional & Performance Optimization

• Evaluate tentpole events, and other promotions, including incremental sales, promotional penetration,
• share movement, and post-event performance.
• Partner with Sales and Category Management to assess promotional effectiveness and recommend
• improvements.
• Diagnose the impact of traffic, conversion, pricing, and product mix on business results.

Product Performance & Innovation

• Analyze ASIN-level performance and new product launches against business expectations and competitive
• benchmarks.
• Identify underperforming products and opportunities across traffic, conversion, pricing, organic visibility,
• and competitive positioning.
• Partner with cross-functional teams to prioritize opportunities and recommend actions.

Cross-Functional Collaboration & Strategic Insights

• Partner with Amazon Sales, Category Management, Marketing, Content, and other teams to support
• commercial priorities.
• Develop clear, insight-driven narratives explaining performance, key drivers, and recommended actions.
• Proactively surface emerging trends, business risks, and growth opportunities for leadership.

Reporting Automation & Process Improvement

• Streamline recurring reporting, strengthen data quality, and improve analytical efficiency.
• Use established analytics platforms and partner with BI/Data teams on reporting enhancements and data validation.

Qualifications
Education & Experience

• Bachelor’s degree in Business, Marketing, Analytics, Finance, or a related field.
• 4–6+ years in sales analytics, eCommerce analytics, business intelligence, or a related function.
• Experience analyzing Amazon eCommerce performance; consumer products or beauty experience
• preferred.
• Experience with syndicated eCommerce data (e.g., Stackline, Circana) and familiarity with Amazon Vendor Central preferred.

Technical & Analytical Skills

• Advanced Excel skills, including large datasets, pivot tables, and analytical models.
• Experience with Power BI, Tableau, or similar tools; Power BI preferred.
• Strong understanding of Amazon sales, traffic, conversion, share, pricing, and promotional metrics.
• Ability to turn complex analysis into practical recommendations and compelling PowerPoint presentations.

Mindset & Collaboration

• Proactive, curious, detail-oriented, and results-driven.
• Strong communication and stakeholder management skills.
• Able to independently prioritize work, meet deadlines, and quickly assume ownership of established deliverables in a fast-paced environment.