Loop's modern audit and pay platform uses our domain-driven AI to harness the complexity of supply chain data and documentation. We improve transportation spend visibility so companies can control their costs and power profit. That is why industry leaders like J.P. Morgan Chase, Great Dane, Emerge, and Loadsmart work with Loop.
Our investors include J.P. Morgan, Index Ventures, Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, Rakuten, and long-standing industry leaders like C.H. Robinson.
About Role As the first dedicated Analytics Engineer at Loop, you will play a pivotal role in shaping the data organization from the ground up. 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, 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, Mode).Ability to manage, optimize, and scale data infrastructure.Nice to Have: Previous experience setting up a data stack in a startup from scratch.Interest or experience in working with cutting-edge open-source data tools.Proven ability to convert ad-hoc data requests into scalable, automated pipelines.Who You Will Work With: EPDD (Engineering, Product, Design, and Data): Become the data expert within the EPDD organization, empowering data-driven decisions across product development and iterations.Product Delivery: Enable product delivery teams (solutioning, analyst) to deliver value to customers through tools and frameworks.Finance: Collaborate with the finance team on cost tracking and management, ensuring data supports financial decision-making.IT & Compliance: Ensure data systems are compliant with regulatory requirements and optimize infrastructure for security and cost.Compensation Base pay 120k - 190kPremium Medical, Dental, and Vision Insurance plansInsurance premiums covered 100% for youUnlimited PTOFireside chats with industry leading keynote speakersOff-sites in locales such as Napa and TahoeGenerous professional development budget to feed your curiosityPhysical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships
#J-18808-Ljbffr