Virtual Economist Amazon Jobs (NOW HIRING)

The Centralized Insights & Analytics team at Mammoth Brands works cross-functionally to understand our performance within the context of all that we do - our retail & digital tactics, the marketing investments we make, and how we ultimately serve our customers. The team is focused on providing objective reporting & guidance for the Harry's, Flamingo, Lume, and Mando brands.

As Manager, Digital Analytics - Amazon supporting Harry's and Flamingo, you will serve as the embedded, day-to-day analytics partner for our Amazon 1P (Vendor Central) business-proactively monitoring performance, diagnosing key drivers of change, and translating data into clear, actionable narratives that answer "what happened, why, and what we should do next." You will lead performance reporting, deep dives, test-and-learn measurement, and planning/forecasting support to surface opportunities and risks early, working closely with the cross-functional teams to turn insights into prioritized actions that shape channel strategy and accelerate growth.This role will be based at our headquarters in New York, and reports to the Senior Manager, Digital Analytics - Amazon and partners closely with the Harry's/Flamingo Amazon 1P team.

• Serve as a primary day-to-day analytics partner to the Harry's/Flamingo Amazon 1P team
• Own weekly and monthly performance reporting (Vendor Central) and translate to clear "what/why/now what" narratives.
• Diagnose performance shifts using driver-based analysis
• Lead product/category deep dives and competitive analyses to inform prioritization and growth strategy.
• Support test-and-learn measurement by defining success metrics, evaluating results, and documenting learnings.
• Assist in forecasting and business planning efforts by analyzing historical data, seasonality, and performance trends.
• Build and foster strong cross-functional relationships with Brand and Media teams to translate insights into actions and track outcomes.
  

• Bachelor's degree in Business, Economics, Analytics, Marketing, or a related field.
• 2-4 years of experience in eCommerce analytics, CPG analytics, or a related data-focused role.
• Ability to translate complex data into clear, digestible insights, narratives, and recommendations to a variety of audiences
• General familiarity with Amazon Vendor Central and eCommerce performance metrics
• Strong attention to detail, organization, and ability to manage multiple priorities in a fast-paced environment.
• Self-starter, confident, ability to manage projects independently once onboarded
• Passion for working in an entrepreneurial environment with a positive attitude

Benefits and perks

• Medical, dental, and vision coverage
• 401k match
• Equity in Mammoth Brands 
• Flexible time off and working hours
• L&D stipend
• 4 weeks sabbatical after 5 years, 6 weeks after 10 years, and 8 weeks after 15 years 
• 20 fully paid weeks off for parents who give birth, or 16 fully paid weeks off for all other paths to parenthood
• Fun IRL and virtual events including happy hours, team building events, and parties on our rooftop
• Free products from all of our brands

The Mammoth Brands working model is in-office Tuesday, Wednesday, and Thursday. Our beautiful 70,000 square foot SoHo office is decked out with bagels on Wednesdays and lunch on Thursdays, and fully stocked kitchens with snacks, coffee, and drinks everyday.  Can't forget the free products and the opportunity to have some meetings without Zoom!

We can't quantify all of the intangible things we think you'll love about working at Mammoth Brands, like the exciting challenges we tackle, the smart and humble team you'll get to work with, and our supportive and inclusive culture. That said, our salary ranges are based on paying competitively for our size and industry, and are one part of our total rewards package, which also includes a comprehensive set of benefits and our equity program. The base salary hiring range for this position is $120,400-$150,000, but the final compensation offer will ultimately be based on the candidate's location, skill level and experience.