About BlueCargo
BlueCargo provides real-time information for trucking companies that move cargo from marine ports to first warehouses. We are building a platform that will be a one-stop shop for truckers to dispatch, schedule their workload and move containers efficiently
Our startup was founded by two female entrepreneurs, graduated from Y Combinator (2018 batch), and has raised a 15 millions total. We are at the beginning of an exciting growth phase where we have already developed product-market fit, a working platform, and hundreds of daily active users.
If working to bring technology to the logistics industry sounds exciting, then we’d like to connect with you!
About the role
Skills: Python, SQLAbout the company
Blue Cargo is a pioneering technology company in the logistics and supply chain industry. We are at the forefront with our innovative freight audit solutions and lead the industry in tracking container data. Our platform aggregates data from multiple sources, providing a single, streamlined interface for superior logistics management. This comprehensive approach ensures accuracy, transparency, and efficiency in freight cost management and cargo tracking. Our commitment to innovation and sustainability drives us to continually transform the logistics landscape, making it more reliable and accessible for businesses globally.
Founded by two female entrepreneurs who graduated from the Y Combinator 2018 batch, Blue Cargo has successfully raised a Series A in 2022. We are at the beginning of an exciting growth phase, having already developed product-market fit, a working platform, and hundreds of daily active users.
About the team
At Blue Cargo, you will be joining a small, dedicated data team responsible for:
- Analytics: Building and monitoring metrics to deliver insights to improve data quality across the features we develop.
- Machine Learning Algorithms: Developing, maintaining, and enhancing machine learning algorithms integrated into our pipelines to ensure optimal performance and innovation.
The data team collaborates closely with all other engineering teams, providing crucial support, making this position exciting as you get to work on many different projects.
What will you do?
As a Data analyst at Blue Cargo, you will play a crucial role in building the platform technology and infrastructure that drives our product delivery. Your responsibilities will include:
- Develop and maintain metrics and dashboards to provide actionable insights.
- Identify key insights to drive improvements in our processes and systems.
- Monitor system performance and ensure data integrity.
- Detect, prioritize, and resolve systemic issues to improve data quality.
What are we looking for?
We are on the lookout for a talented Junior / Mid-Level Data Analyst who can bring their analytical expertise to our complex systems. The ideal candidate is smart, meticulous, and highly precise, with a passion for uncovering insights and driving improvements in a supply-chain software.
Requirements:
- Proficiency in Python and SQL
- Experience with analytics software such as Tableau, Power BI, or similar tools.
- Ability to work independently and great communication skills
- Proven ability to work independently with minimal supervision and oversee complex tasks while prioritizing multiple projects based on strategic goals.
Nice to have:
- Interest or experience in logistics and/or supply chain management.
- Startup experience.
- Basic understanding of machine learning techniques.
- Experience in data engineering (PySpark, Glue …)
Compensation
- Salary: $90k - $130k (salary ranges are determined by role, level, and location).
- Perks: Comprehensive medical benefits and unlimited PTO.
- Fun perks:
- A flexible, international, fun and dynamic work environment.
- Exciting on-site team events and activities.
- Support/Community: Proud to be a Y Combinator-backed company.
Technology
Our current tech:
Stack: Python/Django (Backend), React/JS (Frontend), AWS services (Lambda, RDS, S3), PostgreSQL (Database), Node-Red, CircleCI and other continuous integration toolsTeam: 3 engineers
