Growth Marketing Analyst (CO)

<h3 style="line-height:1.38;margin-top:21px;margin-bottom:5px;"><span style="font-size:17pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:700;"><span style="font-style:normal;"><span style="text-decoration:none;">Growth Marketing Analyst (Full-Time, Remote)</span></span></span></span></span></span></h3><h3 style="line-height:1.656;text-align:justify;margin-top:19px;margin-bottom:16px;"><span style="font-size:13.999999999999998pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:700;"><span style="font-style:normal;"><span style="text-decoration:underline;"><span><span>About the Company</span></span></span></span></span></span></span></span></h3><p style="line-height:1.38;text-align:justify;margin-top:16px;margin-bottom:16px;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">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.</span></span></span></span></span></span></p><p style="line-height:1.38;margin-bottom:5px;"><span style="font-size:13.999999999999998pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:700;"><span style="font-style:normal;"><span style="text-decoration:underline;"><span><span>Position Overview</span></span></span></span></span></span></span></span></p><p style="line-height:1.38;margin-top:16px;margin-bottom:16px;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">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.</span></span></span></span></span></span></p><p style="line-height:1.38;margin-bottom:5px;"><span style="font-size:13.999999999999998pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:700;"><span style="font-style:normal;"><span style="text-decoration:underline;"><span><span>Core Responsibilities</span></span></span></span></span></span></span></span></p><ul><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">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)</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Surface data quality problems proactively. The current environment has known discrepancies across platforms that require investigation and resolution.</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Build cohort level retention and LTV analysis from raw transactional data, segmented by acquisition channel, subscriber tier, and plan type</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Develop and maintain a channel level payback model connecting acquisition costs to downstream subscription revenue, churn, and lifetime value</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Support financial model updates by providing clean, segmented inputs (tier weighted COGS, gift vs paid subscriber separation, adjusted churn rates)</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Validate and extend the existing Snowflake ETL pipeline from Recharge, backfill historical data where gaps exist, and work toward a single source of truth</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Produce channel level performance reporting for recurring business reviews and leadership reporting packages.</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Support A/B test design and statistical analysis for landing pages, email flows, and ad creative.</span></span></span></span></span></span></li></ul> <h3 style="line-height:1.656;text-align:justify;margin-top:19px;margin-bottom:16px;"><span style="font-size:13.999999999999998pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:700;"><span style="font-style:normal;"><span style="text-decoration:underline;"><span><span>What Makes You the Right Fit</span></span></span></span></span></span></span></span></h3><ul><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">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.</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">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.</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">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.</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">You surface problems before being asked. If something looks off, you flag it—with context, a hypothesis, and ideally a fix.</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">You translate data into decisions. Your output isn't a spreadsheet; it's a clear narrative that non-technical stakeholders can act on.</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">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.</span></span></span></span></span></span></li></ul><p style="line-height:1.38;margin-bottom:5px;"><span style="font-size:13.999999999999998pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:700;"><span style="font-style:normal;"><span style="text-decoration:underline;"><span><span>Required Skills</span></span></span></span></span></span></span></span></p><ul><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">SQL proficiency (writing queries against warehouse data, not just using a GUI)</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Excel/Google Sheets at an advanced level (pivot tables, lookups, data modeling, large dataset manipulation)</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Demonstrated comfort using AI/LLM tools (Claude, ChatGPT, Copilot, or similar) for data exploration, code generation, and analytical workflows</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Demonstrated ability to reconcile conflicting data sources and determine which source to trust</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Experience building cohort retention curves and LTV models from raw transactional data</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Experience working with ecommerce or subscription data (Shopify, Recharge, Stripe, or equivalents)</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Comfortable working with messy, incomplete, or conflicting data where clean join keys do not exist</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Self directed problem solver who surfaces issues before being asked. This is not a ticket driven reporting role.</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Strong written communication in English for presenting findings to non technical stakeholders</span></span></span></span></span></span></li></ul><p style="line-height:1.38;margin-bottom:5px;"><span style="font-size:13.999999999999998pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:700;"><span style="font-style:normal;"><span style="text-decoration:underline;"><span><span>Preferred Skills</span></span></span></span></span></span></span></span></p><ul><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Experience with Snowflake or similar data warehouses, including pipeline validation and data engineering</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Experience with ad platform data (Meta Ads Manager, Google Ads) and understanding of attribution models</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Experience with Klaviyo or similar email/SMS marketing platforms</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Experience building AI-assisted analytical workflows (e.g., using LLMs for data reconciliation, anomaly detection, or automated reporting)</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Experience with Source Medium or similar analytics reporting tools</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Python or R for data manipulation and automation</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Financial modeling experience (LTV, payback period, contribution margin)</span></span></span></span></span></span></li><li style="list-style-type:disc;"><span style="font-size:11pt;font-variant:normal;white-space:pre-wrap;"><span style="font-family:Arial, sans-serif;"><span style="color:#000000;"><span style="font-weight:400;"><span style="font-style:normal;"><span style="text-decoration:none;">Experience in a subscription box or D2C subscription business</span></span></span></span></span></span></li></ul>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...