Your tasks and responsibilities will include: Transforming weekly performance data into concise, executive-ready performance drivers and drags that explain why sales moved and what the immediate next step should be. Trend identification: highlighting emerging consumer search patterns before they become mainstream. Analyzing Amazon Brand Analytics and profitero and Circana data to understand consumer performance and market share performance. Conducting post-event deep dives for tentpole events (e.g., Prime Day, Black Friday) to measure ROI and inform future forecasting, promo depth, and participation. Monitoring competitor pricing moves and in-market performance to highlight any action that needs to be taken. Conversion optimization: monitoring the Buy Box and Glance Views to alert the Sales team of any traffic drops or conversion leaks that require immediate action. Consumer sentiment analysis: monitoring review counts and star ratings to provide Sales with feedback on product quality or Frequently Bought Together trends. Dashboard ownership: designing and maintaining automated sales reporting frameworks using Power BI, Tableau, Excel, and any new reporting tools. KPI management: defining and monitoring critical metrics, including Topline Sales, Glance Views, Conversion Rate (CR), Subscription, Profitability, and additional priority KPIs. Standardized reporting: delivering weekly, monthly, and quarterly business reviews to sales team and key internal stakeholders, highlighting Wins and Opportunities based on sales volume and market share. New item launches: creating the Launch Blueprint for new SKUs, using historical category data to set realistic sales targets and advertising benchmarks. Tracking competitor out-of-stock events, pricing, or promotional changes to provide Sales with live-time opportunities/challenges.

To succeed in this role, you will need: A bachelor's degree in Business, Finance, Economics, Statistics, or a related analytical field. 2-4+ years of experience in e-commerce analytics, retail, or a CPG environment. Advanced Excel skills, including pivot tables, VLOOKUP/XLOOKUP, and complex data modeling. Proven experience building dashboards in Power BI or Tableau. A sales-first mindset, with the ability to see a data point and immediately translate it into a revenue-generating idea. Agility, with comfort working in a fast-paced environment where data is needed quickly. Experience with third-party Amazon tools, such as Pacvue, Helium10, CommerceIQ, Stackline, NielsenIQ, Profitero, or similar tools. Amazon fluency, with expertise in Vendor Central and familiarity with Amazon Marketing Cloud.

As an Associate Manager, Amazon Insights and Analytics, you can expect to be paid a salary of approximately $115-173k, with additional compensation possible through a bonus or incentive program. Benefits include health care, vision, dental, retirement, PTO, sick leave, and more.

If you're interested in joining our team and contributing to our mission of Health for all, Hunger for none, please apply now.

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You will also be responsible for recruiting and nurturing exceptional engineering talent, fostering an inclusive team culture and environment that encourages collaboration, technical excellence, and innovation, and making sure the team's partnerships with key stakeholders in Engineering, Design, and Product are strong.

To be successful in this role, you will need to have 5+ years of engineering management experience, with 9+ years of relevant software development industry experience in a fast-paced tech environment. You will also need to have deep expertise with backend systems and complex data modeling in large-scale consumer applications, excellent communication and presentation skills, and an end-to-end, product-oriented mentality that transcends team boundaries and helps find globally optimal solutions.

As a member of our team, you will have the opportunity to work on a wide range of projects and contribute to the development of new features and capabilities that will help us achieve our mission of making it easier for people to host on Airbnb.

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