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GrowthLoop

Analytics Engineer, Strategic Accounts

Posted 8 Days Ago
Remote
3 Locations
Mid level
Remote
3 Locations
Mid level
Design and optimize data models for client businesses, handle data ingestion into cloud warehouses, and enhance internal workflows.
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About GrowthLoop 

GrowthLoop is a pioneer in AI-powered marketing on the data cloud, featured on G2 by its customers as a momentum leader with the best ROI for enterprise. Founded and led by former Google executives, GrowthLoop helps innovative companies transform how they market and drive business impact.

The GrowthLoop Compound Marketing Engine drives compound growth by accelerating the marketing cycle, using Agentic AI on top of your data cloud. Growth Agents propose audiences and journeys, activate campaigns across channels, and ultimately streamline execution by continuously analyzing performance data to optimize campaigns.
Thousands of marketers at enterprises like Google, Indeed, and Priceline rely on GrowthLoop to grow faster with agentic AI, drive measurable campaign results, and maximize marketing ROI—compounding growth with every experiment, iteration, and campaign.

We apply best-in-class architecture and technology to build a system for marketing teams that is both functional and user-friendly.

Our Mission

GrowthLoop aspires to unleash the growth potential of the world’s most innovative brands with our compound marketing engine, closing the loop between people, data, and AI. 

How We Work 
  • We bring a Learner’s mindset to everything we do.
  • We encourage the exploration of new technologies and ownership to drive them.
  • We believe in the power of collaboration, innovation, and gratitude. 
  • Our love for our customers drives us to go the extra mile and build the best products for them.
  • We ship with urgency and extreme ownership.
  • Our culture and people are our greatest strength.
The Opportunity

In this role, you will be embedded with a single enterprise client, acting as a key technical partner in their data transformation journey. You'll gain deep knowledge of their business, collaborating closely to design efficient and accessible data models that unlock real business value. This role offers the unique opportunity to make a significant impact on a high-priority, strategic initiative.

You're passionate about clean data architecture, skilled at breaking down complex problems into manageable parts, and you appreciate the long-term value of scalable tooling and repeatable processes. If you thrive in a fast-paced environment with autonomy, growth potential, and purpose-driven work—this role is for you.

What You’ll Do
  • Engineer and optimize the ingestion of large volumes of data into cloud data warehouses
  • 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
What We Look For
  • 2+ years of experience in SQL
  • 2+ years of experience in Python
  • Hands-on experience with the design, development, and maintenance of cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
  • Strong understanding of relational databases and data warehousing fundamentals
  • Strong analytical and problem-solving skills
  • Self-starter who thrives with autonomy and responsibility
  • Intellectual curiosity and the drive to continuously learn and apply new technologies
Nice to Have
  • Experience with transformation orchestration tools such as dbt or Google Cloud Dataform
  • Experience with orchestration platforms like Airflow
  • Experience with Machine Learning workflows—model development, training, deployment, or productionization
  • Prior experience working with or within large enterprise organizations

We are a collaborative, growth-minded team that believes in taking the learner's mindset into everything we do. This role offers the opportunity to expand into machine learning and AI, applying modern data science techniques to solve meaningful business problems.

The estimated base salary for this role is $110,000-$120,000. 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.

What We Offer 

Rewards

  • See your work impact some of the most important businesses in the world, including Google, Priceline, and Indeed. 
  • Spot bonuses for major milestones and product feature graduations
  • Opportunities for career progression and dynamic collaboration across teams 
  • Equity incentives for employees making an impact

Flexible Work Style

  • Remote-First Culture 
  • Flexible schedules and goal-based work style
  • Unbounded PTO
  • Monthly Recharge Days

Competitive Benefits

  • Free Platinum Health Insurance with Aetna
  • 401(k) Program with Generous Company Match

Learn and Grow

  • Quarterly Hackathons to focus on team passion projects
  • Education Stipend towards your professional development
  • Work closely with our world-class executive team
  • Learners’ mindset culture

GrowthLoop is an Equal Opportunity Employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.


Top Skills

Airflow
BigQuery
Dbt
Google Cloud Dataform
Python
Redshift
Snowflake
SQL

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