Growth Marketing Analyst, MX

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Catch Co.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🛍️ eCommerce

🛒 Retail

⚽ Sports

eCommerce • Retail • Sports

Catch Co. is the company behind Mystery Tackle Box, an e-commerce retailer and subscription-box service focused on fishing tackle, gear, and accessories. It targets recreational anglers and outdoor enthusiasts by offering curated monthly tackle boxes, standalone product sales, and customer support (support@mysterytacklebox. com) to help users explore and develop their fishing passion.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Flexible work arrangements