Senior Data Analyst

Join the Platform R&D Group at the project, where we leverage data to drive real impact in the maritime world. Our core mission is to become the intelligence authority of the oceans - mission-grade maritime AI that brings action-ready clarity across the global seas.

• 5+ years of experience in data analysis, demonstrating deep proficiency in writing Python code.
• Bachelor's degree in Computer Science, Industrial Engineering, Mathematics, Statistics, Economics, or a related technical field.
• Fluency in English, written and spoken.
• Demonstrated proficiency in utilizing Generative AI tools and an AI-first approach to data research, analysis, and innovation.
• Extensive experience with statistical analysis in enterprise or research environments.
• Expertise in querying databases and using the Python data analysis and visualization stack (e.g., Pandas, NumPy, PySpark, Plotly, Matplotlib, etc.).
• Experience using monitoring and visualization tools (such as Grafana or Redash).
• Strong analytical mindset and problem-solving skills.
• Ability to work independently and manage complex research tasks with high autonomy.
• Excellent communication and interpersonal skills, with an emphasis on proactively communicating project dependencies and status to stakeholders.
• Demonstrated commitment to being a proactive team player, collaborating effectively with R&D peers and cross-functional partners to achieve shared goals.

Nice to have:

• Experience working with geospatial datasets.
• Prior experience working with an Israeli company.

• Conduct end-to-end research to create and improve our core-data algorithms.
• Leverage Generative AI tools for deep research, data analysis, and coding to accelerate insights.
• Analyze large datasets to uncover trends, patterns, and anomalies, applying domain knowledge to interpret data and provide valuable insights for the maritime industry.
• Write Python code to extract and analyze data from various sources (including Postgres, MongoDB, SingleStore, and S3).
• Maintain and ensure data quality and integrity, conducting thorough checks to monitor, identify, and resolve inconsistencies, and taking accountability for critical data and infrastructure.
• Visualize findings, use data storytelling, and document research in technical papers and logs to understand and communicate actionable insights effectively to stakeholders.
• Collaborate effectively with cross-functional teams (including domain and technical experts) to address research challenges and optimize data processes.
• Join the Data Analysts technical guild to help grow Windward’s data analysts professional community.