Manager, DTC Analytics

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use

for each heading. Only include sections where posting has real specific content. Need to extract content. First, identify sections: - About the role: The posting has "About The Role" paragraph. So include that as

About the role

with

containing that paragraph. - Responsibilities: There's "Here's What You'll Accomplish" bullet list. That's responsibilities. So

Responsibilities

with

• each bullet. - Requirements: There's "This May Describe You" list of qualifications/experience. Could be considered Requirements. Also "You will report to..." maybe not. We'll treat "This May Describe You" as Requirements (or Qualifications). The instruction says we can have Requirements, Qualifications, Skills sections. We need to decide which to include based on content. We have: - Technical skills: SQL, Python/R, BI tool fluency, AI-forward, Business acumen, Engaged thought partner, Clear communicator, optimistic, curious. These could be Skills. We also have "5+ years in data analytics..." etc. That's experience/requirements. We could split: Requirements: 5+ years experience, etc. Qualifications: maybe not separate. Skills: technical skill list. But we must avoid thin sections. Perhaps combine Requirements and Skills into one? But instruction: prefer few substantive sections over many thin ones. We could have sections: About the role, Responsibilities, Requirements (including experience and skills), Benefits, Pay. Schedule: we have schedule info: "The Mammoth Brands' working model is in-office Tuesday, Wednesday, and Thursday." That's schedule. So include Schedule section. Pay: we have salary range: "$132,000-$150,000". So include Pay. Benefits: list of benefits. Thus sections: About the role, Responsibilities, Requirements (maybe combine experience and skills), Benefits, Pay, Schedule. We must not repeat job title. No Job ID. We must remove boilerplate: EEO, legal, scam warning, etc. Also remove navigation, cookie, duplicated lines. We need to preserve all substantive information. Let's extract content. About Mammoth Brands intro: maybe not needed as it's not about role. The instruction: we only need to reformat job posting into semantic HTML. Likely we include all substantive info from posting, but we can omit company overview? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." So we should keep the company overview? It's part of posting. However the sections we are to use are limited to those headings. But we can still include other content as

  outside headings? The instruction says: "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use

  • for any list of duties/requirements/benefits, and

    for prose." It doesn't forbid other

    outside headings. It says output only HTML fragment, no /. So we can include a

    for company overview before headings. But they said "Do NOT repeat the job title as a heading (the page already shows it)". So we can include other paragraphs. Thus we can include a brief intro about Mammoth Brands and About The Team as prose. We need to preserve all substantive information: that includes the company description, team description, etc. Thus structure:

    About Mammoth Brands ...

    About The Team ...

    About the role

    ...

    Responsibilities

    ...

    Requirements

    ...
    maybe combine experience and skills? But we have separate lists: "This May Describe You" includes experience and skills. Could split into Requirements (experience) and Skills (technical). But to avoid thin sections, maybe combine into one Requirements section with both experience and skills. However we also have Benefits, Pay, Schedule sections. Let's extract each piece. Company description: "About Mammoth Brands Mammoth Brands (formerly Harry’s Inc.) is the modern CPG company behind brands Harry’s, Flamingo, Lume, Mando, and Coterie. We’re building a new model—and home—brands, founders, and talent looking to solve unmet needs, improve peoples’ lives, and ultimately challenge the status quo. Our mission is to “Create Things People Like More.” Simply put: everything we do should be better than what already exists. If it’s not, we don’t do it. This guides everything we do, from developing the best product experiences, to making Mammoth Brands a great place to work, to exploring innovative ways to give back to our community. We got our start in 2013 when our co-founders created Harry's. They built the brand differently—online first, prioritizing direct relationships with customers—and in the process learned they’d created something bigger: a playbook and platform that could help other brands grow and scale to their full potential, and a vision to reimagine consumer packaged goods. Today, Mammoth Brands is a growing portfolio of brands and the largest CPG company built in the last 20 years. Even as we grow, we take extra care to maintain the small, scrappy, entrepreneurial culture that helped to get us where we are today: to create a company that people like more, that better serves its customers, employees, and community. As a company, we’re also committed to making a positive impact and have donated over $20 million through our network of nonprofit partners to date. We build brands that move fast and think big — and we hire people who are curious about AI, willing to experiment with it in their day-to-day work, and excited to accelerate what's possible. We prioritize giving our team the tools, training, and space to build real fluency, so you grow alongside the technology and help shape how we use it." Team description: "About The Team The Centralized Insights & Analytics (CIA) team is a critical function that drives proactive insights-to-action within the US Personal Care organization. The CIA organization unites capabilities across data science, analytics, insights, and category management into an integrated function to translate insights into action for everyday decisions and more complex business questions, helping shape the future of our business strategy and enabling us to best serve our customers. Capabilities built by this team will meaningfully impact the business through marketing optimization, channel strategy, site optimization, selling stories, thought leadership, innovation, and overall consumer/shopper experience." About The Role paragraph: "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." Then "Here's What You'll Accomplish" list: - 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 Then "This May Describe You" list: - 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 Then "Who You Will Work With": "You will report to the Sr. Director of Omnichannel Analytics, with a dotted line to our VP of DTCWithin the broader CIA org, you'll work most closely with the other data analysts and analytics engineers on the team. Within the larger Digital org, you’ll work closely with our DTC team (Product/Engagement/CX) as well as Distribution and Finance." We could include that as part of About the role or separate? Not required heading. Could