Senior Analytics Engineer

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.