Data Analyst

New
P
PortcastLogistics Technology
Globally distributed, remote-first flexibility: Work with a fully distributed team across Asia and EuropeFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
2-3+ years
Required Skills
PythonSQLBusiness AnalysisData AnalysisMachine LearningData visualization

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
  • At least 2-3+ years in a Data Analyst or Business Analyst role.
  • Experience in a product-based, lean startup, preferably in logistics, ecommerce, or B2B SaaS.
  • Exceptionally skilled in Python and SQL for producing reusable and scalable code.
  • Proven experience identifying system anomalies and turning messy data into clear visualizations.
  • First Principles thinking ability to analyze trade-offs and constraints.
  • Curious mindset with the ability to dig for root causes.
  • Proficiency in utilizing AI tools like Claude or Copilot for QA, automation, and analysis while maintaining manual validation standards.
  • Strong ownership mindset with urgency in responding to customer needs.
  • Clear communication skills for brainstorming and documentation in a cross-cultural environment.
  • Basic understanding of machine learning algorithms (preferred).

Responsibilities

  • Perform documentation, reporting, and root-cause analysis of prediction issues end-to-end.
  • Analyze ingested and system-generated data for anomalies and gaps and plug those gaps.
  • Turn data into actionable insights by surfacing patterns, proposing fixes, and executing workflow changes or automation.
  • Automate performance/accuracy reviews and data visualization using Python and SQL to build reusable workflows.
  • Support Engineering and Data Science on system-level data fixes and explore feature improvements.
  • Support Customer Operations and Marketing with performance and accuracy metrics and real-time event impacts.
  • Maintain internal and customer dashboards for prediction accuracy, timeliness, coverage, and explainability.
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