Manager, DTC Analytics

Flamingo is an award-winning body, hair, and care brand within Mammoth Brands. The Analytics Manager for DTC will lead reporting and diagnostic analytics across the ecommerce customer journey, build and maintain dashboards, analyze performance drivers, and turn data into actionable recommendations for stakeholders. The role will also improve experimentation reporting, automate analytics processes, and serve as a strategic thought partner across the DTC organization.

Responsibilities

• Synthesizing data on a regular basis to provide the DTC team with brand-level insights on business health - and a clear recommendation on what to do about it, not just the numbers
• Leverage our BI tool Omni to build, maintain, and own dashboards that empower the business to interpret and act quickly. (e.g., track inventory issues across retailers and build actionable alerting.)
• Become an expert on existing DTC reporting and drive towards improvement
• Plan, design, and implement reports that highlight key performance indicators
• Enhance our A/B testing reporting suite
• Track new feature launches by Product & Engagement teams and build/manage the reporting for how they perform
• Work closely with the teams in our DTC Org to drive value for the business
• Gain a strong understanding of their data problems and use our Analytics toolkit to find a solution (What data do we need, how can we get it, and how can we automate reporting?)
• Driving deep analysis of the whats and whys of key drivers to surface hypotheses for action
• Be a strong, trusted voice and thought leader for the brands you support - bringing a well-reasoned point of view to the table, and comfortable sharing it with stakeholders at all levels
• Enable your stakeholders and leaders to get sharper and smarter on the data, the business, and how we tackle our biggest questions just by working alongside you
• Bring a strong, well-reasoned point of view and advocate for the brands you support, comfortable doing so with people more senior than you
• Your impact and influence comes from how much smarter you make the people around you and your strong perspective
• Help define how we measure and report out on performance on ecommerce across key KPIs, set up dashboarding capability, and regularly track and share the overall performance of the business to drive strategic planning
• Identify analytics pain points and inefficiencies, and develop new tools and automated processes to optimize and streamline. AI is integral to the work, not an afterthought
• Be a data-evangelist and sparring partner across the organization, sharing best practices and insights and willing to challenge the status quo with cross-functional teams and stakeholders at every level

Preferred

• Proficient Technical Skill – Fluent in SQL (Python or R a plus), with the ability to query, manipulate, and analyze data end-to-end to accelerate the business
• SQL
• Python
• R
• Data Querying
• Data Manipulation
• Data Analysis

Benefits

• If visa sponsorship is required for work authorization, please note that Mammoth Brands in collaboration with immigration counsel will manage and submit all necessary legal filings on behalf of the candidate.
• 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
• Bagels on Wednesdays and lunch on Thursdays
• Fully stocked kitchens with snacks, coffee, and drinks everyday

Company

• Women's body, hair, and shave care products
• New York, New York, USA
• https://www.shopflamingo.com/en/us/
• Founded in 2018
• 11-50 employees

Qualifications

• 5+ years in data analytics or a similarly analytical field, using data to drive decision-making and narrative development in a fast-moving, cross-functional environment, with a strong understanding of the role analytics plays in a cross-disciplinary digital product development lifecycle
• BI Tool Fluency – Hands-on experience building and maintaining dashboards and models in a modern BI platform. We currently run in Omni; prior experience with Looker, Tableau, or Power BI will be an enabler
• AI-Forward – You use AI tools to speed up your own analysis, and you're comfortable helping others on the team build that same fluency
• Business Acumen & Judgment – You connect the dots across data sources, business priorities, and customer signal, and you have a nose for which questions are worth chasing - so you spend your time on the highest-impact problems, not just the interesting ones
• Engaged Thought Partner – When someone brings you a question, they leave with a recommendation and a point of view, not just an analysis plan. You can point to specific insights that changed a real decision, not just reports you've shipped
• Clear, Confident Communicator – You explain complex ideas simply, and you're as comfortable challenging a room full of senior stakeholders as you are presenting to them
• You thrive on direct, honest, and supportive communication and feedback
• You are infectiously optimistic and curious - To you, there's nothing more exciting than a new challenge. Hard things are hard, but you don't let that get in the way
• Proficient Technical Skill – Fluent in SQL (Python or R a plus), with the ability to query, manipulate, and analyze data end-to-end to accelerate the business
• 5+ years in data analytics or a similarly analytical field, using data to drive decision-making and narrative development in a fast-moving, cross-functional environment, with a strong understanding of the role analytics plays in a cross-disciplinary digital product development lifecycle.

Required skills

• Data Analytics, SQL, Omni, Dashboard Development, A/B Testing, Ecommerce Analytics, Analytics Automation, Data Storytelling

Experience

• 5+ years