Loop Returns is hiring a
Analytics Engineer in Worldwide

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Analytics Engineer
🏢 Loop Returns
💵 $106k-$159k
📍Worldwide
📅 Posted on Jul 11, 2024

Summary

The job is for an Analytics Engineer at Loop, a company that provides data to merchants. The role involves modeling raw data into clean datasets, collaborating with various teams, and supporting large-scale data projects. The company offers flexibility in work environment and values collaboration, growth mindset, and diversity.

Requirements

  • 3+ years of hands-on experience as an analytics engineer, data analyst, data engineer, or equivalent
  • 1+ year of hands-on experience working with dbt
  • Significant experience in data modeling and data warehouse architecture, with solid SQL experience
  • Business acumen and experience with one or more functional areas such as Product, GTM, Finance, Marketing, Customer Experience
  • Familiarity with software development best practices applied to data and analytics (DataOps), primarily related to version control, CI/CD, automation, and testing
  • Self-motivated and self-managing, with a solution-oriented mindset
  • Exceptional verbal, written and listening skills and the ability to bring consensus and communicate with a diverse audience

Responsibilities

  • Design, develop, and extend production-quality dbt code with an eye toward performance, scale, and maintainability
  • Through a DataOps lens, collect business requirements, define successful analytics outcomes, and produce scalable database designs, data models, and reusable data assets
  • Support our data analysts, data scientists, ML engineers, and other team members by building, reviewing, and approving data model changes that help us continuously deliver value back to the business
  • Collaborate with the Analytics and Data Engineering teams on data pipelines, ETL, data analysis and visualizations, etc
  • Develop and maintain documentation that increases the understanding and utilization of our data assets
  • Support the implementation of our analytics, semantic, and metrics layers
  • Support the execution of medium to large-scale data projects that have a significant impact on multiple stakeholders across Loop

Preferred Qualifications

  • Familiarity with dimensional modeling/data warehousing concepts
  • Python experience
  • Experience building and maintaining semantic layers and self-service content in Looker for non-technical end-users
  • Experience with project management
  • SaaS, e-commerce, and startups

Benefits

  • Medical, dental, and vision insurance
  • Flexible PTO
  • Company holidays
  • Sick & safe leave
  • Parental leave
  • 401k
  • Monthly wellness benefit
  • Home workstation benefit
  • Phone/internet benefit
  • Equity
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