
51 - 200 funcionários
Fundada em 2012
🛍️ Comércio Eletrônico
🛒 Varejo
⚽ Esportes
eCommerce • Retail • Sports
A Catch Co. é a empresa por trás da Mystery Tackle Box, um varejista de comércio eletrônico e serviço de assinatura focado em iscas de pesca, equipamentos e acessórios. Ela tem como público-alvo pescadores recreativos e entusiastas do ar livre, oferecendo caixas de iscas mensais selecionadas, vendas de produtos avulsos e suporte ao cliente (support@mysterytacklebox. com) para ajudar os usuários a explorar e desenvolver sua paixão pela pesca.
🕒 Julho 27
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2012
🛍️ Comércio Eletrônico
🛒 Varejo
⚽ Esportes
eCommerce • Retail • Sports
A Catch Co. é a empresa por trás da Mystery Tackle Box, um varejista de comércio eletrônico e serviço de assinatura focado em iscas de pesca, equipamentos e acessórios. Ela tem como público-alvo pescadores recreativos e entusiastas do ar livre, oferecendo caixas de iscas mensais selecionadas, vendas de produtos avulsos e suporte ao cliente (support@mysterytacklebox. com) para ajudar os usuários a explorar e desenvolver sua paixão pela pesca.
• 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.
• 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.
• Flexible work arrangements
Candidatar-se🕒 Abril 1
Marketing Data Analyst managing strategies for customer retention and analytics solutions. Collaborating on business growth initiatives at one of the largest insurance groups.
🗣️🇺🇸🇬🇧 Inglês obrigatório