Data Analyst

About SailPlan

SailPlan is a cutting-edge technology company that is dedicated to transforming the future of maritime transportation. Founded in 2019, the company is on a mission to make shipping more sustainable by reducing its carbon footprint and ensuring that it becomes NetZero. SailPlan offers a range of innovative solutions and services that enable its clients to optimize their operations and reduce their environmental impact.

SailPlan works with some of the most important names in the shipping industry to deliver a cleaner future for the world. SailPlan’s team comprises of experts with a diverse range of skills and experience, including naval architects, data scientists, and software engineers. The company’s collaborative and dynamic work culture fosters innovation and creativity, allowing the team to develop cutting-edge solutions that drive the industry forward. By combining state-of-the-art technology and a commitment to sustainability, SailPlan is leading the way towards a greener and more efficient maritime industry.

At SailPlan, you will be part of a fast-growing team, will wear many hats and have ownership over building key aspects of our platform. You will work within a collaborative environment to build the next generation of technology for the maritime industry.

If you think you have the right stuff, we are looking for YOU.

Location

Role Description and Responsibilities

Role Overview:

We are seeking a proactive and skilled Data Analyst to join our data science team. In this role, you will collaborate closely with sensor/instrumentation engineers and report directly to the data science tech lead. You will play a critical role in analyzing sensor data, extracting actionable insights, and creating visualizations that empower decision-making. Your ability to ask the right questions, engage with cross-functional teams, and deliver impactful analyses and dashboards will be key to your success.

Key Responsibilities:

• Data Analysis & Processing:
  • Pull, clean, and analyze data from BigQuery and other data sources using Python
  • Identify patterns, trends, and actionable insights from sensor data and other relevant datasets
  • Utilize the existing ELT pipeline to create useful data transformations that will be implemented in client-facing dashboards
• Collaboration:
  • Work closely with the sensor/instrumentation engineers to understand data collection mechanisms and ensure accurate analysis
  • Engage with the data science tech lead to align analyses with broader business and technical objectives
  • Liaise with the product team to gather requirements for dashboards and visualizations
• Dashboard Development:
  • Design and develop intuitive dashboards and visualizations using tools like Looker
  • Translate business needs into scalable, maintainable analysis dashboards
• Stakeholder Communication:
  • Present findings clearly and effectively to technical and non-technical stakeholders
  • Proactively ask questions to refine analyses, uncover hidden insights, and improve data quality
• Best Practices:
  • Ensure data integrity, accuracy, and completeness throughout all stages of analysis
  • Document processes, workflows, and methodologies for team-wide knowledge sharing

Core Requirements and Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field
• Proficiency in SQL for querying and managing large datasets in BigQuery
• Strong Python skills for data analysis and manipulation (e.g., pandas, NumPy, matplotlib, seaborn)
• Experience creating dashboards and visualizations using Looker, Tableau, Power BI, or similar tools
• Strong analytical skills and attention to detail, with the ability to ask the right questions to refine analysis and outcomes

Preferred Qualifications

• Familiarity with the maritime/shipping industry or an understanding of related datasets and challenges
• Experience working with GCP tools, particularly Looker and LookML
• Knowledge of data pipelines and ETL processes
• Strong communication skills to effectively convey insights to diverse stakeholders

Other information or Special Requirements

This is a full time position. US citizen or work permit required.