Analytics Engineer

About the company

GrowthLoop provides an agentic AI-powered, composable customer data platform that lets enterprise marketers activate first-party data from their cloud environments in real time.

About this role

<p>&nbsp;</p> <h1>Analytics Engineer, Strategic Accounts&nbsp;</h1> <h3>Customer Solutions Group&nbsp; ·&nbsp; Full-Time&nbsp; ·&nbsp; Remote, United States&nbsp;</h3> <p>You'll embed with one enterprise client's growth team as a key technical partner. The work is hands-on SQL: building audiences, editing scripts, digging into data discrepancies, and supporting live email and direct mail campaigns.&nbsp;</p> <p>You'll learn their business deeply and own the data work end to end, with room to make it yours:&nbsp;</p> <p>The team is moving to a new cloud environment this fall, so you can rebuild the recurring work from scratch: automate the manual steps, clean up the pipelines, and design the processes the way they should be. What starts as running the day-to-day can grow into owning how the whole system works.</p> <p>This work and team moves fast, running on weekly recurring deadlines, with quick turnarounds. If you like significant ownership and steady pressure over a slow, tidy queue, you'll do well here.</p> <h3>What You'll Do</h3> <ul> <li>Build and edit SQL to power audience building and email and direct mail campaigns.</li> <li>Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks.</li> <li>Design and build scalable data models that support the client's analytical and operational goals.</li> <li>Drive improvements to internal workflows and tooling to increase efficiency and repeatability.</li> <li>Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions.</li> <li>Investigate data discrepancies, analyze deltas between tables, and get into the weeds to answer real questions for the client.&nbsp;</li> </ul> <h3>What You Bring</h3> <ul> <li>You are excellent at SQL, with 2+ years of hands-on experience in a production environment. This is the most important skill for the role, so you write, read, and debug complex queries with ease every day.</li> <li>You have hands-on experience querying cloud data warehouses (BigQuery, Snowflake, Redshift, or Databricks)</li> <li>You have a solid understanding of data pipelines and data engineering concepts (ETL/reverse ETL, event streaming, data modeling).</li> <li>You communicate well with both technical and non-technical partners, and you enjoy working across both.</li> <li>You stay responsive and calm under tight, recurring deadlines. Quick turnarounds and shifting priorities energize you rather than wear you down.</li> </ul> <h3>About GrowthLoop</h3> <p>GrowthLoop built the first composable CDP, helping marketers leverage live, first-party data from their cloud warehouse to launch highly targeted campaigns. That composable foundation gave way to the Compound Marketing Engine, an evolution of the composable CDP that drives compound growth by using agentic AI to accelerate the marketing cycle.&nbsp;</p> <p>Now, we’re building what comes next: an agentic system that uses causality data to find the actions that actually improve customer outcomes and gets smarter with every campaign cycle.&nbsp;</p> <p>Founder-led, we’re partnering with the world’s most innovative brands to close the loop between people, data, and AI. Enterprise marketing teams at Google, Costco, Ford, and Whirlpool (to name a few) choose GrowthLoop to launch smarter, more personalized marketing programs that compound growth with every campaign.</p> <h3>About You</h3> <ul> <li>Moving at our pace brings change, complexity, ambiguity, and a little chaos. You're comfortable being uncomfortable, and you'd rather own a hard problem than wait for a clean one.&nbsp;</li> <li>You have high agency: you find the gap and close it, and you turn decisions into outcomes, not more meetings.</li> <li>You measure your work by whether the customer actually wins, and you'd rather prove impact than claim it. You make the people around you sharper, and the team winning matters more to you than being right.&nbsp;</li> <li>You give direct, honest feedback (kindly), and you're curious about damn near everything, because time not spent learning feels wasted.</li> <li>You treat your part of the work like an owner, deliver reliably, build skills fast, and pitch in beyond your lane when it moves things forward.</li> </ul> <h3>Compensation &amp; Details&nbsp;</h3> <p>The on-target-earnings for this role are $110,000 to $120,000 USD. Total compensation includes<strong> </strong>equity and additional opportunities for variable compensation - we came up bootstrapped and have scaled with discipline, and we share that ownership with those helping us build.&nbsp;</p> <p>Please note that we can only consider candidates for the Analytics Engineer role who are based in the United States and authorized to work without visa sponsorship. Final base salary decisions will be based on a variety of non-discriminatory factors unique to each candidate, such as the individual’s skill set, depth of experience, and qualifications.</p> <p><strong>What We Offer&nbsp;</strong></p> <p>Rewards</p> <ul> <li>Spot bonuses for major milestones and product feature launches</li> <li>Clear opportunities for career progression and cross-functional collaboration</li> <li>Equity in GrowthLoop, so you share in the value you help create.</li> </ul> <p>Flexible, Remote-First Work</p> <ul> <li>Remote-first culture with team members and leaders across North America and beyond, with strong communities in New York, San Francisco, and Toronto.</li> <li>Flexible, goal-based work style</li> <li>Flexible Time off</li> <li>Monthly, company-wide Recharge Days to truly unplug</li> <li>Annual home office stipend to support your workspace</li> </ul> <p>Comprehensive Benefits</p> <ul> <li>100% company-paid medical coverage for individual employees with strong dependent contributions, including dental &amp; vision coverage</li> <li>Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid)&nbsp;</li> <li>401(k) or RRSP (Ca