
11 - 50 employees
đŚ Logistics
đź Consulting
đ Transport
Logistics ⢠Consulting ⢠Transport
Portcast is a technology company providing real-time transportation visibility and predictive insights to enhance supply chain efficiency. Their platform offers advanced solutions such as container tracking, ocean vessel tracking, air cargo tracking, port congestion tracking, and shipping analytics. Portcast facilitates the automation of logistics operations through predictive ETAs, real-time data access, and analytics for logistics service providers, manufacturers, and technology companies, empowering them to optimize their supply chains and reduce costs.
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11 - 50 employees
đŚ Logistics
đź Consulting
đ Transport
Logistics ⢠Consulting ⢠Transport
Portcast is a technology company providing real-time transportation visibility and predictive insights to enhance supply chain efficiency. Their platform offers advanced solutions such as container tracking, ocean vessel tracking, air cargo tracking, port congestion tracking, and shipping analytics. Portcast facilitates the automation of logistics operations through predictive ETAs, real-time data access, and analytics for logistics service providers, manufacturers, and technology companies, empowering them to optimize their supply chains and reduce costs.
⢠Own documentation, reporting, and root-cause analysis of prediction issues end to end ⢠Analyze ingested and system-generated data for anomalies and gaps, using various data sources to plug gaps ⢠Surface patterns behind issues, propose QA process-flow changes and/or automation, and own execution ⢠Automate performance and accuracy reviews, report generation, and data visualization using Python and SQL ⢠Support Engineering and Data Science with system-level data fixes and improvements to data and features ⢠Support Customer Operations and Marketing with performance, accuracy, and real-time-event insights ⢠Maintain internal and customer dashboards covering prediction accuracy, timeliness, coverage, and explainability ⢠Report directly to the Analytics Manager and collaborate with Data Science, Engineering, Product, and Commercial teams
⢠Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field ⢠At least 3+ years in a Data Analyst or Business Analyst role, preferably in a product-based, lean startup environment ⢠Exceptional proficiency in Python and SQL, producing reusable and highly scalable code ⢠Ability to identify system anomalies and turn messy data into clear visualizations ⢠First-principles thinking, including articulating constraints, alternatives, trade-offs, and decisions ⢠Curiosity and ability to investigate root causes beyond stated instructions ⢠Experience using and validating AI tools such as Claude and Copilot for QA, automation, and analysis ⢠Empathy and urgency in responding to customer needs and delivering on time ⢠Ability to communicate nuanced ideas clearly in remote brainstorming and writing ⢠Experience working in diverse, dynamic, cross-cultural teams with an ownership mindset, efficiency, and data-driven approach ⢠Basic understanding of machine learning algorithms is good to have
⢠Globally distributed, remote-first flexibility ⢠Work with a fully distributed team across Asia and Europe ⢠Data-first team ⢠Accelerated growth and learning opportunities ⢠Opportunity to own data quality and analytics from day one ⢠Direct, visible impact in a lean structure
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đŽđł India â Remote
đ° $66M Series F on 2021-10
â° Full Time
đĄ Mid-level
đ Senior
đ Data Analyst