Analytics Engineer, Loop
$120-190k
Logistics payments platform
Be an early applicant
Logistics payments platform
21-100 employees
Be an early applicant
$120-190k
21-100 employees
Company mission
To simplify logistics payments.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
- 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
Our take
In the complex landscape of global supply chains, outdated financial infrastructure and manual processes have created a significant challenge for businesses in the logistics sector. Legacy systems often rely on labor-intensive methods for recording crucial shipping documents, leading to poor auditing practices and a lack of a single, reliable "source of truth" for payment transactions.
Loop, an audit and payment platform, is actively addressing these challenges with its AI-driven approach to transportation financial data. The company's platform consolidates and analyzes information, providing real-time insights into costs, improving accuracy, and unlocking savings for its users.
In a 2023 milestone, Loop raised $35 million in a Series B funding round. This investment attests to the growing recognition of its value proposition, and its potential to transform the way money moves through the supply chain. With an expanding customer base (that in 2024 grew to include Saudi Arabia through a partnership with Mastercard) and over $3 billion in booked total payment volume to date, Loop is poised for further growth and innovation.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2023
$35m
SERIES B
Jan 2022
$24m
SERIES A
Total funding: $65m
Company benefits
- Premium Medical, Dental, and Vision Insurance plans, premiums covered 100% for you
- 401k plan
- Unlimited PTO
- Generous professional development budget to feed your curiosity
- Physical and Mental fitness subsidies for yoga, meditation, gym, or ski membership
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Matt McKinney
(Co-Founder & CEO)Previously worked as a Data Scientist at Uber and MakerSights and as an Analyst at Platform Science and Datalot. Also founded 171 Design Group.
Shaosu Liu
(Co-Founder & CTO)Previously a Software Engineer at Turn, Uber, and Uber Freight.
Chase Ellsworth
(Co-Founder)Previously a Software Engineer at Earnest. Prior to that they served as a Private Equity Associate at Sorenson Capital and as an Associate Consultant at Bain & Company.
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