Flamingo

Senior Manager, Category Analytics

Flamingo$142K — $175K *
Retail & Consumer Goods
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree with 4-7 years in an analytical, data-driven role
  • 2+ years of experience in management consulting or investment banking preferred
  • Proficiency in advanced modeling and impactful presentation creation
  • Experience in CPG industry is preferred; familiarity with Syndicated or Retailer Loyalty Data is a plus
  • Strong collaborative skills with a record of driving cross-functional consensus
  • Effective in presenting to senior leadership and partners
  • Self-starter with the ability to manage projects independently after onboarding.

Responsibilities

  • Understand key business drivers across market trends and competitive performance to inform strategy
  • Lead reporting on significant changes in business performance
  • Identify and present high-priority growth opportunities for brands
  • Drive important internal projects in collaboration with key functional leaders
  • Address pressing questions from the CMO and be an expert on market performance
  • Engage with multiple teams including sales, marketing, and operations to gather insights
  • Coach and mentor team members, acting as analytics team lead on omnichannel projects.

Benefits

  • Medical, dental, and vision coverage
  • 401k match
  • Equity in Mammoth Brands
  • Flexible time off and working hours
  • Learning and Development 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 and team building events
  • Free products from the family of brands.
Full Job Description
About the Team

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.

About the Role

As a Senior Manager on the team, you will support the Category Strategy & Analytics function for our Harry's, Flamingo, Lume, and Mando brands. While performance reporting & understanding of key business drivers will be important, you will also be a critical partner in informing how our brand comes to life, influencing how we react to the ever-changing competitive environment. You will work across nearly all teams at Mammoth Brands and have significant leadership exposure. This role will be based at our headquarters in New York. You will report into the Head of Centralized Insights & Analytics.

Responsibilities:
  • Work to understand key business drivers across macro market trends, category, shopper, and competitive performance and help to craft our strategy
  • Lead a thoughtful approach to reporting on key changes in the business
  • Bring to light high-priority growth opportunities for our brands
  • Drive high-impact internal projects with key functional leaders (strategy and implementation)
  • Answer the CMO's most pressing questions and be an expert on performance across our markets, channels, and customers
  • Engage with and learn from other teams including sales, marketing, analytics, operations, etc.
  • Serve as a team leader, providing coaching and mentorship to team members and serving as analytics team lead across omnichannel projects


This might describe you:
  • A Bachelor's degree; 4-7 years in an analytical, data-driven role (2+ years management consulting or investment banking experience preferred)
  • Experience with advanced modeling and the ability to create impactful presentations (CPG industry experience preferred, Syndicated or Retailer Loyalty Data is a plus)
  • Self-starter, confident, ability to manage projects independently once onboarded
  • Demonstrated success collaborating and driving cross-functional consensus
  • Comfortable and effective when presenting to senior leadership and partners
  • Passion for working in an entrepreneurial environment with a positive attitude


Who you'll work with:
  • Reporting into the Head of Centralized Insights & Analytics.
  • Working internally with the broader "CIA" team, including Channel Analytics, Demand Planning, Enablement (BI and Analytics Engineering), Consumer Insights, and Data Science sub-teams.
  • Partnering cross-functionally with the Brand Teams, Retail Sales Team, Digital Marketplaces Team, Demand Planning, R&D, Maker and Design teams, and Finance.

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 our family of 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 $142,400-$175,000, but the final compensation offer will ultimately be based on the candidate's location, skill level and experience.

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