Analytics Engineer for Enterprise Data & Campaigns (Remote)

GrowthLoop; United States; On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Spot bonuses for milestones

Career progression and cross‑function

Equity in GrowthLoop

Job summary

GrowthLoop is seeking an Analytics Engineer, Strategic Accounts to embed with an enterprise client’s growth team and own end-to-end data work. You’ll build audiences, edit scripts, and troubleshoot data, all while the team transitions to a new cloud environment and automates recurring tasks.

Strong SQL skills (2+ years) and experience with cloud data warehouses are essential. You’ll own data models, workflows, and client-facing technical guidance in a fast-paced, ownership‑driven role.

Qualifications

• 2+ years of hands-on SQL in a production environment.
• Experience querying cloud data warehouses (BigQuery, Snowflake, Redshift, or Databricks).
• Solid understanding of ETL/reverse ETL and data modeling.
• Excellent communication with technical and non-technical partners.
• Enjoy working across multiple disciplines with tight deadlines.

Responsibilities

• Build and edit SQL to power audience building and campaigns.
• Work directly with a single enterprise client to understand business needs and data landscape.
• Design and build scalable data models supporting analytical and operational goals.
• Improve internal workflows and tooling for efficiency and repeatability.
• Be a thought partner for client stakeholders on technical and data decisions.
• Investigate data discrepancies and analyze deltas to answer client questions.

Skills

SQL

Cloud data warehouses

Data pipelines

Stakeholder communication

Deadline-driven

Job description

GrowthLoop is seeking an Analytics Engineer, Strategic Accounts to embed with an enterprise client’s growth team and own end-to-end data work. You’ll build audiences, edit scripts, and troubleshoot data, all while the team transitions to a new cloud environment and automates recurring tasks.

Strong SQL skills (2+ years) and experience with cloud data warehouses are essential. You’ll own data models, workflows, and client-facing technical guidance in a fast-paced, ownership‑driven role.