Manager, DTC Analytics

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. No Job ID. Remove boilerplate. Preserve all substantive info. We need to parse the posting: It includes sections: About Lume And Mando (company description), About The Team, About The Role, Here's What You'll Accomplish (list of responsibilities), This May Describe You (requirements/qualifications/skills), Who You Will Work With (maybe not needed), Benefits And Perks (benefits), salary range (Pay), working model (Schedule? maybe schedule info: in-office Tue-Thu). Also mention flexible time off and working hours. We need to map to headings: About the role (maybe combine About The Role description). Responsibilities: list from "Here's What You'll Accomplish". Requirements/Qualifications/Skills: from "This May Describe You". Benefits: from "Benefits And Perks". Pay: salary range. Schedule: maybe "The Mammoth Brands' working model is in-office Tuesday, Wednesday, and Thursday." Also mention flexible time off and working hours. We must not include filler like "commensurate with experience". Not present. We need to output only HTML fragment, no markdown fences. We'll create sections:

About the role

with paragraph(s) summarizing About The Role description (maybe combine with About The Team? but only About the role). Use the text: "As the Analytics Manager for DTC, you'll build and drive the reporting and diagnostic analytics that advance our strategy - and turn that analysis into a point of view. You'll design and report on DTC KPIs and analyses spanning the user journey from acquisition through conversion, post-purchase engagement and retention, subscriptions, distribution, and site experimentation. When a stakeholder brings you a question, they should walk away with a recommendation, not just a chart or data point - that means connecting the dots across data sources, business priorities, and customer signal, and knowing which questions are worth chasing and which aren't. We need someone with strong business acumen, excellent storytelling skills, a passion for consumer empathy, a robust technical toolkit, and the confidence to share a strong point of view, even with people more senior than you. You'll work with key decision-makers throughout the DTC organization, and share your insights and recommendations - and defend them - with all levels of the business." That's fine. Responsibilities: list from "Here's What You'll Accomplish". Each bullet as

. Need to preserve all points. Let's extract bullet points: - 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 We need to ensure each bullet is a separate

. Some sentences have parentheses; keep them. Requirements/Qualifications/Skills: from "This May Describe You". It lists several bullet-like sentences but not bullet list. We can convert each line into

. Let's extract: - 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. - 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. - 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 We could group into Requirements, Qualifications, Skills sections but instruction says prefer few substantive sections over many thin ones. Could combine into one section "Requirements" containing all. Or separate Qualifications and Skills. But we need to follow instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can include multiple of those if they have content. We have content for Requirements, Qualifications, Skills maybe overlapping. Could put all under Requirements. But we could also separate: Requirements (experience), Qualifications (education? none), Skills (technical). However we lack explicit qualifications like degree. Might be better to have Requirements and Skills sections. Let's decide: Use Requirements for experience and business acumen etc. Use Skills for technical skills (SQL, BI tools, AI). Use Qualifications maybe for education? Not present. Could omit Qualifications if no specific content. But we must not emit heading with filler. So we omit Qualifications if no content. Thus sections: About the role, Responsibilities, Requirements, Skills, Benefits, Pay, Schedule. Now Benefits: from "Benefits And Perks". List items: - 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. We need to separate schedule info maybe later. But benefits list includes flexible time off and working hours, sabbatical, parental leave, events, free products. The office description and schedule could go to Schedule section. Pay: salary range: "The base salary hiring range for this position is $132,000-$150,000, but the final compensation offer will ultimately be based on the candidate’s location, skill level and experience." Schedule: from "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." Also mention flexible time off and working hours already in benefits; but schedule could be just the in-office days. We'll put schedule: in-office Tue-Thu, office details. Now produce HTML. We must not include any extra text. Just HTML fragment. Let's craft.

About the role

As the Analytics Manager for DTC, you'll build and drive the reporting and diagnostic analytics that advance our strategy - and turn that analysis into a point of view. You'll design and report on DTC KPIs and analyses spanning the user journey from acquisition through conversion, post-purchase engagement and retention, subscriptions, distribution, and site experimentation. When a stakeholder brings you a question, they should walk away with a recommendation, not just a chart or data point - that means connecting the dots across data sources, business priorities, and customer signal, and knowing which questions are worth chasing and which aren't. We need someone with strong business acumen, excellent storytelling skills, a passion for consumer empathy, a robust technical toolkit, and the confidence to share a strong point of view, even with people more senior than you. You'll work with key decision-makers throughout the DTC organization, and share your insights and recommendations - and defend them - with all levels of the business.

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