About Shippo

At Shippo, our vision is bold and clear: we are the shipping layer of the internet. Our mission is to make every merchant successful through excellent shipping, delivering world-class logistics technology and infrastructure. We’re building the backbone of global e-commerce — connecting merchants to carriers worldwide through a single API and intuitive dashboard.

As a remote-first and globally distributed team, we believe flexibility fuels trust, autonomy, and performance. Our diverse perspectives — across continents, cultures, and time zones — drive our innovation and enable us to build solutions used by businesses everywhere. We invest in modern, scalable technology so our teams can build, ship, and iterate with confidence.

Your impact starts here: every person at Shippo plays a direct role in shaping the infrastructure that powers global commerce and makes shipping simpler for businesses around the world.

How we will deliver success together:

At Shippo, data isn't just a byproduct; it is our product. As we scale our operations for growth, we're building a Hub & Spoke Analytics model that embeds dedicated analytical thought partners within our business units while maintaining centralized alignment on tooling, metrics, and governance. This structure enables fast, domain-specific insights on top of a unified data foundation; delivering speed at the edge and consistency at the core.

As a member of our Data Platform team, the Analytics Engineer will be embedded within one of Shippo's critical business units (App, API, or Carrier Operations) serving as a strategic analytical thought partner. You'll own the full data lifecycle: from defining metrics and building data models to creating self-service tools and influencing business decisions. You won't just build dashboards; you will architect the data foundations that power our products and services that enable our internal teams and external customers. You'll work autonomously on high-impact projects while collaborating closely with leaders across Product, Engineering, Operations, and Finance.

This role offers the opportunity to work at the intersection of data engineering, analytics, and business strategy, ensuring our data capabilities accelerate Shippo's mission to be the shipping layer of the internet.

Shipping & handling responsibilities

Partner with leadership to drive strategy

Collaborate with product, operations, and go-to-market leaders to identify the most impactful problems to solve and translate ambiguous business questions into structured analytical frameworks
Present insights and recommendations to executives and influence strategic decisions across your business unit
Develop a deep understanding of your domain's challenges, competitive landscape, and growth opportunities
Own key business metrics and KPIs: defining, instrumenting, and evangelizing them across stakeholders

Build scalable data infrastructure

Design, build, and maintain dimensional data models using dbt that serve as the foundation for analytics across your domain
Create self-service dashboards and reporting tools in Looker/Databricks that empower teams to answer their own questions
Establish data quality standards and monitoring to ensure stakeholders can trust the data
Operationalize analytical workflows that scale beyond one-time analyses—building reusable frameworks, automated monitoring, and sustainable data products

Own high-impact analytical initiatives

Depending on your business unit, you might:
App: Design and analyze growth experiments, build fraud detection models, optimize conversion funnels, and measure product feature adoption to drive user growth and reduce losses
API: Create partner health scorecards, analyze API usage patterns, monitor integration reliability, and identify expansion opportunities to strengthen partnerships and operational visibility
Carrier Operations: Develop carrier variance and cost attribution models, track SLA performance, identify margin leakage, and improve operational efficiency to recover costs and drive accountability

Be a multiplier for your team

Reduce ad-hoc data requests by building reusable data products and clear documentation that enable self-service
Mentor product managers and operators on analytical thinking and data literacy
Contribute to Data Platform initiatives that improve analytical capabilities company-wide
Share knowledge and best practices across the analytics community at Shippo

Your shipping requirements

6+ years of experience in analytics engineering, data engineering, data science, product analytics, or related roles with increasing scope and impact
Expert SQL skills: You write complex, performant queries and deeply understand data modeling principles and optimization techniques
Analytics engineering expertise: Proven experience building and maintaining data transformation pipelines with dbt or similar tools.
Data visualization proficiency: Strong experience with Looker or similar BI platforms (Tableau, Mode, Hex) creating dashboards that drive action, not just display data.
Modern data stack knowledge: Hands-on experience with cloud data warehouses such as Databricks and relevant AWS technologies for big data & analytics.
Business acumen and communication: You translate technical findings into clear narratives that resonate with both technical and non-technical audiences. You can influence without authority and build trust across functions
Proven impact: Clear examples of analytical work that led to measurable business outcomes (e.g revenue growth, cost savings, improved conversion rates, or operational efficiency gains)
Strategic thinking: You don't just execute requests; you proactively identify opportunities, ask clarifying questions, and recommend the best path forward
Autonomy and ownership: You're comfortable working independently, managing ambiguity, and seeing complex projects through from conception to adoption

Bonus

Experience with Python for statistical analysis, data manipulation, and light scripting
Background working with product, growth, or operations teams in high-growth tech companies or startups
Domain knowledge in shipping, logistics, marketplaces, payments, or API-first products
Experience with experimentation and A/B testing frameworks
Familiarity with fraud detection, risk modeling, or anomaly detection
Previous experience in a "hub and spoke" or embedded analytics model
Hands-on experience building customer-facing or internal data products

Sail through the process:

Here at Shippo, we celebrate inclusivity and are committed to creating equal access to opportunities for people from all backgrounds, perspectives and geographies. These values define who we are and everything we do. All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at accommodations@goshippo.com

Shippos in the wild:

Our people, much like the packages we help ship, are all over the world. This means, through our remote-first program, “Shippos Everywhere”, our roles can be based anywhere in the US with the exception of Delaware, Nevada, Ohio, Oregon, Hawaii, New Mexico and West Virginia and many roles can be based internationally.

For locations outside of the US and Ireland, the employment contracts are powered by Rippling.com.

Senior Analytics Engineer