Loop

Analytics Engineer

Loop$135K — $155K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years experience building analytical products (system, dashboard, models)
  • Strong proficiency in SQL and Python for data transformations and automation
  • Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Dagster, Airflow, Looker)
  • Excellent business communication skills to translate data insights into actionable business strategies
  • Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode)
  • Ability to manage, optimize, and scale data infrastructure

Responsibilities

  • Design, build, and maintain Loop's core data models and ETL processes
  • Establish and govern key business metrics for consistency across teams
  • Ensure data accuracy and reliability with strong SLAs
  • Convert ad-hoc data requests into scalable, repeatable pipelines
  • Manage and optimize data infrastructure for performance, cost, and compliance
  • Create data-driven solutions and embedded analytics to support business and product teams

Benefits

  • Eligible for health, dental, and vision insurance
  • 401(k) plan
  • Paid time off and holidays
  • Parental leave
  • Other company-sponsored benefits
Full Job Description
About Role

As an Analytics Engineer at Loop, you will play a pivotal role in maturing the data organization. You'll work cross-functionally to design, build, and own the core infrastructure and data models. These systems will enable both internal and client facing analytics, accelerating data-driven decision-making throughout the company and our clients.

What you will do
  • Own Core Data Models and ETL Pipelines: Design, build, and maintain Loop's core data models and ETL processes.
  • Define Metrics and Governance: Establish and govern key business metrics for consistency across teams.
  • Maintain Data Quality and Uptime: Ensure data accuracy and reliability with strong SLAs.
  • Automate Data Requests: Convert ad-hoc data requests into scalable, repeatable pipelines.
  • Optimize Data Infrastructure: Manage and optimize data infrastructure for performance, cost, and compliance.
  • Develop Data Products: Create data-driven solutions and embedded analytics to support business and product teams.

Qualifications:
  • 2+ years experience building analytical products (system, dashboard, models).
  • Strong proficiency in SQL and Python for data transformations and automation.
  • Hands-on experience with modern data stack tools (e.g., Snowflake, dbt, Dagster, Airflow, Looker).
  • Excellent business communication skills to translate data insights into actionable business strategies.
  • Experience with data dashboarding and visualization tools (e.g., Tableau, Looker, Superset, Mode).
  • Ability to manage, optimize, and scale data infrastructure.

Nice to Have:
  • Global supply chain experience in transportation and logistics.
  • Previous experience setting up a data stack in a startup from scratch.
  • Interest or experience in working with cutting-edge open-source data tool.
  • Proven ability to convert ad-hoc data requests into scalable, automated pipelines.
  • Experience working in the logistics domain.

Who You Will Work With:
  • EPD (Engineering, Product, and Design): Become the data expert within the EPD organization, empowering data-driven decisions across product development and iterations
  • Strategy and Operations: Enable product delivery teams (solutions, analyst) to deliver value to customers through actionable dashboards, metrics, and self-service reports
  • AI Platform: Expedite the development of new models and training of existing models by simplifying the necessary data cleansing and preparation

Compensation
  • Base pay 135k - 155k

Benefits & Perks
  • This role is eligible for Loop's health insurance, dental insurance, vision insurance, 401(k) plan, paid time off, paid holidays, parental leave, and other company-sponsored benefits.

Why you should join Loop? - https://whyyoushouldjoin.substack.com/p/loop

About Loop

Loop is a cloud-based platform that provides a range of tools and services for managing customer feedback and engagement. The company was founded in 2016 and is headquartered in Seattle, Washington. Loop's platform is designed to help businesses improve customer satisfaction and loyalty by providing a seamless and personalized experience across all channels. The platform includes features such as surveys, reviews, messaging, and analytics, and can be integrated with a variety of other tools and systems. Loop serves a wide range of industries, including retail, hospitality, healthcare, and financial services.
Learn more about Loop
Size
50 employees
Industry
Founded
2016

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