Data Analyst

Portcast

Data Analyst owning data quality for Portcast’s predictive logistics and real-time supply-chain visibility platform. Automating analytics, investigating anomalies, and improving customer-facing predictions and dashboards.

Posted 8/7/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and visualization, utilizing Python and SQL to automate processes and enhance data accuracy. Collaborates effectively across teams to identify system anomalies and deliver actionable insights for product improvement.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData VisualizationRoot-Cause AnalysisAI Tool Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData AutomationPerformance Review AutomationSystem Anomaly IdentificationMachine Learning Understanding

Soft Skills

CuriosityEmpathyClear CommunicationOwnership MindsetCollaboration

Tools & Technologies

Data DashboardsReporting ToolsData SourcesAI Tools

Industry Keywords

Lean StartupProduct-Based EnvironmentCross-Cultural TeamsQA Process-Flow

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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