Analytics Engineer

GrowthLoop

9h•$110,000 - $120,000•Remote

About The Position

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. You'll learn their business deeply and own the data work end to end, with room to make it yours. 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. 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.

Requirements

Excellent SQL skills with 2+ years of hands-on experience in a production environment.
Hands-on experience querying cloud data warehouses (BigQuery, Snowflake, Redshift, or Databricks).
Solid understanding of data pipelines and data engineering concepts (ETL/reverse ETL, event streaming, data modeling).
Ability to communicate well with both technical and non-technical partners.
Ability to stay responsive and calm under tight, recurring deadlines.
Comfort with quick turnarounds and shifting priorities.

Nice To Haves

Comfortable being uncomfortable, and would rather own a hard problem than wait for a clean one.
High agency: finds the gap and closes it, and turns decisions into outcomes, not more meetings.
Measures work by customer success and impact.
Makes people around them sharper and prioritizes team success.
Gives direct, honest feedback kindly and is curious about learning.
Treats their part of the work like an owner, delivers reliably, builds skills fast, and pitches in beyond their lane when it moves things forward.

Responsibilities

Build and edit SQL to power audience building and email and direct mail campaigns.
Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks.
Design and build scalable data models that support the client's analytical and operational goals.
Drive improvements to internal workflows and tooling to increase efficiency and repeatability.
Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions.
Investigate data discrepancies, analyze deltas between tables, and get into the weeds to answer real questions for the client.

Benefits

Spot bonuses for major milestones and product feature launches
Clear opportunities for career progression and cross-functional collaboration
Equity in GrowthLoop
Remote-first culture
Flexible, goal-based work style
Flexible Time off
Monthly, company-wide Recharge Days
Annual home office stipend
100% company-paid medical coverage for individual employees with strong dependent contributions, including dental & vision coverage
Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid)
401(k) or RRSP (Canada) Program with Generous Company Match
Quarterly Hackathons
Annual professional development stipend
Work directly with a world-class executive team
A learners’ mindset culture