Role Description We’re hiring a Head of Growth – Retail to lead our expansion into mass retail and specialty pet channels across Europe. - Own and execute Barkyn’s offline retail growth strategy - Lead expansion into mass market and specialty pet retail across Europe - Manage relationships with category managers and key buyers - Build retail playbooks for listing, activation, and performance - Define pricing, promotion, and go-to-market tactics per geography - Work cross-functionally with ops, marketing, product, and finance to align execution Qualifications - 7+ years of experience in retail and offline sales - Experience scaling a pet brand in retail, from launch to multi-million revenue - Deep knowledge of mass market and specialized pet retail channels - Existing relationships or direct experience with category managers - Successfully operated in at least two European geographies - Strong negotiation, retail activation, and margin management skills Requirements - Multi-country go-to-market experience (Bonus) - Experience launching retail from a D2C base (Bonus) - Familiarity with supply chain and retail operations tooling (Bonus) Benefits - This is a rare chance to join a company in a pivotal growth phase - Work closely with top leadership - Be at the center of how we build and scale - If you’re hungry to learn, ready to own projects, and excited by speed — we want to talk

Now hiring across all U.S. states — 100% Remote 100% Remote | Fast Interview Process Looking for a real work-from-home opportunity that actually pays and grows with you? We’re expanding fast and hiring motivated individuals immediately for a fully remote position with training provided, flexible hours, and uncapped earning potential. Spots are limited — candidates are being scheduled for interviews within 24 hours. Apply now to secure yours. Position Details - Role: Entry-Level Remote Associate - Location: 100% Remote (U.S. Only) - Schedule: Full-Time or Part-Time - Start Date: ASAP (Fast-track hiring process) Why This Opportunity Stands Out - Work 100% from home — no commute, no dress code - No experience required — full training provided - Flexible schedule — build your own work-life balance - Rapid advancement — performance-based promotions - Supportive team culture + mentorship - Quick hiring process — start earning within days What You’ll Be Doing - Connect with clients via phone, text, email, and Zoom - Help individuals understand benefit options - Maintain simple digital records (training provided) - Follow a proven system to meet daily/weekly goals - Work independently while supported by a team What We’re Looking For - No experience needed — just a strong work ethic - Good communication skills - Coachable, reliable, and self-motivated - Comfortable with basic tech (Zoom, email, etc.) - Must be 18+ and authorized to work in the U.S. - Willing to obtain a Life & Health License (we help you) Ready to Start? Click APPLY NOW Our team will contact you within 24–48 hours to schedule a quick virtual interview. Don’t wait — positions are filling fast. Start your remote career this week. Keywords (Boost Visibility) Remote Jobs, Work From Home, Hiring Immediately, No Experience Needed, Entry-Level Remote, Weekly Pay, Flexible Schedule, Remote Career, Virtual Job, Apply Now, Start ASAP, High Paying Remote

Growth Marketing Analyst (Full-Time, Remote) About the Company We’re CatchCo, makers of Mystery Tackle Box — the original fishing subscription box since 2012. Our mission is to Rescue Humanity From the Indoors. Today, we help millions get outside with products sold at Walmart, Dick’s Sporting Goods, Amazon, and our website. We’ve moved past the venture-backed hype and are now under new ownership, building a lean, profitable, and lasting business. If you believe in getting people outdoors and doing work that matters, you’ll fit right in. Position Overview Investigate, reconcile, and build the data infrastructure for a subscription ecommerce company (Mystery Tackle Box / Catch Co) that is rebuilding its growth marketing function from scratch. The data environment spans multiple platforms with known quality issues, conflicting sources, and no unified reporting layer. This role is equal parts detective work and system building. Core Responsibilities - Investigate and reconcile data across Recharge (subscription management), Shopify (ecommerce), Klaviyo (email/SMS), Source Medium (analytics reporting), Snowflake (warehouse), and paid ad platforms (Meta, Google) - Surface data quality problems proactively. The current environment has known discrepancies across platforms that require investigation and resolution. - Build cohort level retention and LTV analysis from raw transactional data, segmented by acquisition channel, subscriber tier, and plan type - Develop and maintain a channel level payback model connecting acquisition costs to downstream subscription revenue, churn, and lifetime value - Support financial model updates by providing clean, segmented inputs (tier weighted COGS, gift vs paid subscriber separation, adjusted churn rates) - Validate and extend the existing Snowflake ETL pipeline from Recharge, backfill historical data where gaps exist, and work toward a single source of truth - Produce channel level performance reporting for recurring business reviews and leadership reporting packages. - Support A/B test design and statistical analysis for landing pages, email flows, and ad creative. What Makes You the Right Fit - You're a data detective, not a dashboard reader. When numbers don't add up across platforms, you dig until you find out why—and you document what you found so it doesn't happen again. - You're comfortable with ambiguity. Messy data, missing join keys, and conflicting sources don't stop you—they're the job, and you know how to work through them systematically. - You build for permanence. You don't just answer the question in front of you; you build the model, pipeline, or framework that answers the next ten questions too. - You surface problems before being asked. If something looks off, you flag it—with context, a hypothesis, and ideally a fix. - You translate data into decisions. Your output isn't a spreadsheet; it's a clear narrative that non-technical stakeholders can act on. - You use AI tools as a force multiplier. You reach for LLMs, code interpreters, and AI assisted analysis when they can accelerate your work. Not as a crutch, but as a way to move faster through data cleaning, hypothesis generation, and exploratory analysis. Required Skills - SQL proficiency (writing queries against warehouse data, not just using a GUI) - Excel/Google Sheets at an advanced level (pivot tables, lookups, data modeling, large dataset manipulation) - Demonstrated comfort using AI/LLM tools (Claude, ChatGPT, Copilot, or similar) for data exploration, code generation, and analytical workflows - Demonstrated ability to reconcile conflicting data sources and determine which source to trust - Experience building cohort retention curves and LTV models from raw transactional data - Experience working with ecommerce or subscription data (Shopify, Recharge, Stripe, or equivalents) - Comfortable working with messy, incomplete, or conflicting data where clean join keys do not exist - Self directed problem solver who surfaces issues before being asked. This is not a ticket driven reporting role. - Strong written communication in English for presenting findings to non technical stakeholders Preferred Skills - Experience with Snowflake or similar data warehouses, including pipeline validation and data engineering - Experience with ad platform data (Meta Ads Manager, Google Ads) and understanding of attribution models - Experience with Klaviyo or similar email/SMS marketing platforms - Experience building AI-assisted analytical workflows (e.g., using LLMs for data reconciliation, anomaly detection, or automated reporting) - Experience with Source Medium or similar analytics reporting tools - Python or R for data manipulation and automation - Financial modeling experience (LTV, payback period, contribution margin) - Experience in a subscription box or D2C subscription business

Growth Marketing Analyst (Full-Time, Remote) About the Company We’re CatchCo, makers of Mystery Tackle Box — the original fishing subscription box since 2012. Our mission is to Rescue Humanity From the Indoors. Today, we help millions get outside with products sold at Walmart, Dick’s Sporting Goods, Amazon, and our website. We’ve moved past the venture-backed hype and are now under new ownership, building a lean, profitable, and lasting business. If you believe in getting people outdoors and doing work that matters, you’ll fit right in. Position Overview Investigate, reconcile, and build the data infrastructure for a subscription ecommerce company (Mystery Tackle Box / Catch Co) that is rebuilding its growth marketing function from scratch. The data environment spans multiple platforms with known quality issues, conflicting sources, and no unified reporting layer. This role is equal parts detective work and system building. Core Responsibilities - Investigate and reconcile data across Recharge (subscription management), Shopify (ecommerce), Klaviyo (email/SMS), Source Medium (analytics reporting), Snowflake (warehouse), and paid ad platforms (Meta, Google) - Surface data quality problems proactively. The current environment has known discrepancies across platforms that require investigation and resolution. - Build cohort level retention and LTV analysis from raw transactional data, segmented by acquisition channel, subscriber tier, and plan type - Develop and maintain a channel level payback model connecting acquisition costs to downstream subscription revenue, churn, and lifetime value - Support financial model updates by providing clean, segmented inputs (tier weighted COGS, gift vs paid subscriber separation, adjusted churn rates) - Validate and extend the existing Snowflake ETL pipeline from Recharge, backfill historical data where gaps exist, and work toward a single source of truth - Produce channel level performance reporting for recurring business reviews and leadership reporting packages. - Support A/B test design and statistical analysis for landing pages, email flows, and ad creative. What Makes You the Right Fit - You're a data detective, not a dashboard reader. When numbers don't add up across platforms, you dig until you find out why—and you document what you found so it doesn't happen again. - You're comfortable with ambiguity. Messy data, missing join keys, and conflicting sources don't stop you—they're the job, and you know how to work through them systematically. - You build for permanence. You don't just answer the question in front of you; you build the model, pipeline, or framework that answers the next ten questions too. - You surface problems before being asked. If something looks off, you flag it—with context, a hypothesis, and ideally a fix. - You translate data into decisions. Your output isn't a spreadsheet; it's a clear narrative that non-technical stakeholders can act on. - You use AI tools as a force multiplier. You reach for LLMs, code interpreters, and AI assisted analysis when they can accelerate your work. Not as a crutch, but as a way to move faster through data cleaning, hypothesis generation, and exploratory analysis. Required Skills - SQL proficiency (writing queries against warehouse data, not just using a GUI) - Excel/Google Sheets at an advanced level (pivot tables, lookups, data modeling, large dataset manipulation) - Demonstrated comfort using AI/LLM tools (Claude, ChatGPT, Copilot, or similar) for data exploration, code generation, and analytical workflows - Demonstrated ability to reconcile conflicting data sources and determine which source to trust - Experience building cohort retention curves and LTV models from raw transactional data - Experience working with ecommerce or subscription data (Shopify, Recharge, Stripe, or equivalents) - Comfortable working with messy, incomplete, or conflicting data where clean join keys do not exist - Self directed problem solver who surfaces issues before being asked. This is not a ticket driven reporting role. - Strong written communication in English for presenting findings to non technical stakeholders Preferred Skills - Experience with Snowflake or similar data warehouses, including pipeline validation and data engineering - Experience with ad platform data (Meta Ads Manager, Google Ads) and understanding of attribution models - Experience with Klaviyo or similar email/SMS marketing platforms - Experience building AI-assisted analytical workflows (e.g., using LLMs for data reconciliation, anomaly detection, or automated reporting) - Experience with Source Medium or similar analytics reporting tools - Python or R for data manipulation and automation - Financial modeling experience (LTV, payback period, contribution margin) - Experience in a subscription box or D2C subscription business