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Data Analyst

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Delhi, India

Job Type

Part Time

Workspace

Remote

About the Role

Data Collection and Management: Collect and organize data related to imports, exports, and logistics from various sources, ensuring data accuracy and completeness.

Data Analysis: Analyze data sets to identify trends, patterns, and anomalies, providing insights that can inform strategic decisions and improve operational efficiency.

Reporting: Create and maintain regular and ad-hoc reports, dashboards, and data visualizations to communicate findings and key performance indicators to stakeholders.

Forecasting: Utilize statistical and data modeling techniques to forecast demand, supply chain needs, and market trends.

Performance Metrics: Develop and maintain key performance indicators (KPIs) to evaluate and improve logistics and supply chain operations.

Process Optimization: Identify opportunities to optimize logistics processes, reduce costs, and enhance productivity through data-driven recommendations.

Market Analysis: Conduct market research and analysis to assess market opportunities, competition, and potential risks in North America, the Middle East, and the Far East.

Data Integrity: Ensure data accuracy, consistency, and security by implementing data quality and data governance best practices.

Collaboration: Work closely with cross-functional teams, including logistics, procurement, sales, and finance, to align data analysis with organizational objectives.

Data Technology: Utilize data analysis tools, software, and database systems for effective data management and reporting.

Regulatory Compliance: Stay informed about changes in international trade regulations, tariffs, and compliance requirements and incorporate this knowledge into data analysis.

Requirements

  • Bachelor's degree in a related field, such as data science, statistics, business analytics, or a similar discipline.

  • Proven experience as a data analyst, with a minimum of 5 years in a similar role.

  • Proficiency in data analysis and visualization tools such as Excel, Tableau, Power BI, or similar platforms.

  • Strong statistical and data modeling skills.

  • Experience with databases and data management systems.

  • Exceptional analytical and problem-solving abilities.

  • Excellent communication and presentation skills to convey complex data findings to non-technical stakeholders.

  • Familiarity with logistics and international trade concepts is a plus.

  • Multilingual abilities may be preferred for communication with partners in different regions.

  • Attention to detail, time management, and organizational skills.

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