For logistics to meet demand, the world needs infrastructure that doesn’t exist yet. Kargo is building that infrastructure.

Our work advances the farthest edge of logistics technology, aligning freight and data in real time.

With Kargo’s machine vision system, you can optimize shipping and receiving at every loading dock for network effects across supply chains.

👀 VERIFY SHIPMENT ACCURACY WITH COMPUTER VISION

As freight is loaded and unloaded, Kargo Towers capture the action, translating any label or mark into data you can use on the Kargo Platform and your own ERP, WMS, TMS, and YMS.

Towers flag discrepancies right at the loading dock so you can stop exceptions in their tracks. Images and videos give context to any shipment.

🚀 AUTOMATE SHIPPING AND RECEIVING

Extend your capabilities with automated data capture at every step:

• Eliminate hand-scanning
• Sync with partners
• Simplify check-in and out
• Access data instantly

Kargo sees and validates multiple freight attributes as forklifts load and unload trucks. Integrations let you connect shipping and receiving end to end.

📈 UNLOCK NETWORK EFFECTS

As Kargo Towers capture data across facilities, you can surface trends and gain insights into operations and partnerships.

Embrace continuous improvements and discover how Kargo helps build accuracy and efficiency across logistics.

Kargo is looking for an Analyst with a strong data analytics background to join the Analytics team. The successful candidate will work closely with different business units across the organization and help provide analytics intelligence solutions and analysis for business stakeholders. We are looking for someone who is passionate about data and can take ownership of building insightful data deliverables including supporting analysis deep dives on operational challenges, A/B testing with functional groups, and building visualizations. This person will also be able to provide analysis to business stakeholders to assess business problems in a data-driven manner.

What You'll Do:

• You will work closely with various teams to answer any questions about our datasets for business stakeholders
• You will know where to pull the right data from and build the right visualization solutions to satisfy all business reporting needs
• You will lead conversations with different business and product stakeholders and own any analysis deliverables
• You will collaborate with data engineers and product to ensure upstream data is being reported correctly and consistently for business users
• You will perform ad-hoc analyses as needed
• You will help educate and train our in-house users to build dashboards and use features to answer any key business questions and needs

Who You Are:

• You will have experience working in a fast-paced, high growth company
• 1+ years of experience working in a data engineering, analytics, or technical data analytics role
• 1+ years of experience working with Looker (or equivalent)
• Solid understanding of data warehousing, orchestration, pipeline and visualization solutions
• Strong experience with SQL using Snowflake, BigQuery (or equivalent)
• 1+ years of Python experience (Pandas, Python Standard Library, SQL Drivers)
• Excellent communication skills, particularly when explaining technical or complex matters to less technical co-workers
• Media company experience preferred