Data Analyst
Confirmed live in the last 24 hours
Automated logistics technology for real-time freight tracking
Company Overview
Kargo is a logistics technology company that is redefining the industry by integrating freight and data in real-time, using a machine vision system to optimize shipping and receiving at every loading dock. The company's automated data capture system eliminates manual effort, providing real-time updates to existing inventory systems and offering unparalleled visibility into the logistics process. With its ability to flag discrepancies, verify shipments, and provide actionable data, Kargo empowers businesses to make informed decisions, streamline operations, and maintain strong customer relationships.
Industrial & Manufacturing
Data & Analytics
Hardware
B2B
Company Stage
Series A
Total Funding
$31M
Founded
2019
Headquarters
San Francisco, California
Growth & Insights
Headcount
6 month growth
↑ 52%1 year growth
↑ 8%2 year growth
↑ 190%Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
BigQuery
Data Analysis
Airflow
R
SQL
Tableau
Python
CategoriesNew
Data & Analytics
Requirements
- 3+ years of work experience in a data analytics role
- Proficiency in querying and manipulating complex raw datasets for analysis using SQL, Python, and/or R
- Experience with big data analytics platforms and tools such as Bigquery, Airflow, etc
- Experience creating dashboards using Tableau (or similar) visualization tools
- Ability to drive strategic discussions and convert strategy to action. Experience explaining technical concepts and analysis implications clearly to varied audiences and can translate business objectives into actionable analysis
- Degree in Data Analytics, Economics, Computer Science, Operations Research, Math, or Statistics, with a quantitative focus
Responsibilities
- Quantitative analysis - including clustering, regression, pattern recognition, or descriptive and inferential statistics
- Communicate the results of analysis to product, engineer, and leadership teams to influence strategy
- Partner with Product, Operations and Engineering teams to solve problems and identify trends, risks and opportunities
- Provide analytics on user behaviors and market research to support more informed product decisions
Desired Qualifications
- Advanced degree with a quantitative focus (Data Analytics, Economics, Computer Science, Operations Research, Math, Statistics)
- Knowledge of logistics, warehousing, and supply chain is a plus
- Knowledge of computer vision or machine learning