Data Analyst

1 week, 2 days ago
Full-time
Mid Level
Data Science and Analytics
Portcast

Portcast

Portcast is a real-time and predictive transportation visibility platform that enhances supply chain efficiency and sustainability through AI-driven predictive data and accurate container tracking.

Professional Services
11-50
Founded 2017
$3M raised

Description

  • Document, report, investigate, and resolve prediction issues through end-to-end root-cause analysis.
  • Analyze ingested and system-generated data to identify anomalies and gaps, using multiple data sources to resolve them.
  • Identify data patterns, recommend QA workflow improvements or automation, and own implementation plans.
  • Automate performance and accuracy reviews, reporting, and data visualizations using Python and SQL.
  • Partner with Engineering and Data Science on system-level data fixes, new data sources, and feature improvements.
  • Provide performance, accuracy, and real-time event insights to Customer Operations and Marketing.
  • Build, maintain, and own internal and customer dashboards for prediction accuracy, timeliness, coverage, and explainability.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • 2–3+ years of experience as a Data Analyst or Business Analyst, preferably in a product-led startup or data-heavy logistics, ecommerce, or B2B SaaS environment.
  • Exceptional Python and SQL skills, with the ability to develop reusable, scalable code.
  • Experience identifying anomalies, investigating root causes, and turning messy data into clear visualizations.
  • Ability to apply first-principles thinking and evaluate constraints and trade-offs when solving problems.
  • Experience using and validating AI tools such as Claude or Copilot for QA, automation, and analysis.
  • Strong customer focus, urgency, ownership, and ability to deliver reliably to deadlines.
  • Clear written and verbal communication skills, including explaining nuanced data decisions to cross-functional stakeholders.
  • Experience collaborating in diverse, dynamic, cross-cultural teams.
  • Basic understanding of machine learning algorithms (preferred).

Benefits

  • Remote-first flexibility with a globally distributed team across Asia and Europe.
  • Opportunity to own data quality and analytics from day one and accelerate professional growth.
  • Direct, visible impact in a lean organization where ideas and decisions influence the business.
  • Collaborative data-first team focused on solving complex problems with analytics.

Interested in this position?

Apply directly on the company website

Apply Now

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