Founded in 2013, Shippo is a logistics and supply company that provides shipping services to retailers, ecommerce platforms, marketplaces, and more. Operating f
Senior Analytics Engineer
Location
Nevada + 1 moreAll locations: Nevada | Canada
Posted
51 days ago
Salary
0
Seniority
Senior
Job Description
Senior Analytics Engineer
Shippo
Role Description - Shipping & handling responsibilities - Partner with leadership to drive strategy - Collaborate with product, operations, and go-to-market leaders to identify impactful problems 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 for analytics - Create self-service dashboards and reporting tools in Looker/Databricks - Establish data quality standards and monitoring - Operationalize analytical workflows that scale beyond one-time analyses - Own high-impact analytical initiatives, which may include: - App: Design and analyze growth experiments, build fraud detection models, optimize conversion funnels, and measure product feature adoption - API: Create partner health scorecards, analyze API usage patterns, monitor integration reliability, and identify expansion opportunities - Carrier Operations: Develop carrier variance and cost attribution models, track SLA performance, identify margin leakage, and improve operational efficiency - Be a multiplier for your team by reducing ad-hoc data requests and mentoring product managers and operators - Contribute to Data Platform initiatives that improve analytical capabilities company-wide - Share knowledge and best practices across the analytics community at Shippo Qualifications - 6+ years of experience in analytics engineering, data engineering, data science, product analytics, or related roles - Expert SQL skills with complex, performant queries and a deep understanding of data modeling principles - Analytics engineering expertise with proven experience building and maintaining data transformation pipelines with dbt or similar tools - Data visualization proficiency with strong experience in Looker or similar BI platforms - Modern data stack knowledge with hands-on experience in cloud data warehouses such as Databricks - Business acumen and communication skills to translate technical findings into clear narratives - Proven impact with clear examples of analytical work leading to measurable business outcomes - Strategic thinking with a proactive approach to identifying opportunities - Autonomy and ownership in managing ambiguity and complex projects Requirements - Bonus: Experience with Python for statistical analysis and data manipulation - 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 Benefits - Inclusivity and equal access to opportunities for individuals from all backgrounds - Remote-first program, “Shippos Everywhere”, allowing roles to be based anywhere in the US (except specific states) and many roles internationally - Assistance and reasonable accommodations during the application and recruiting process
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