Maritime Data Analyst — Remote-First, SQL & Python

Willow Pacific Inc.; Miami (FL); Hybrid; USD 70,000 - 95,000; Full time

Benefits offered by this job

Health insurance with medical, dental,

Retirement plan with company match

Tuition reimbursement

Mentorship programs

Access to industry conferences

Job summary

Willow Pacific Inc. in Miami, FL is seeking a Data Analyst to join our team. This full-time role offers a negotiable salary and entails analyzing data to support maritime industry solutions, creating reports, identifying trends, and providing insights to improve efficiency and sustainability.

You will collaborate with a close-knit team in our Miami office in a remote-first environment that still emphasizes in-person workshops and meetings for knowledge sharing and collaboration.

Qualifications

• Bachelor's degree in data science, statistics, CS, or related field.
• 2+ years of data analysis experience.
• Proficiency in SQL, Python, and R.
• Experience with Tableau or Power BI.

Responsibilities

• Analyze large datasets to identify trends and insights that can inform business decisions.
• Develop and maintain data models and algorithms to support our maritime data solutions.
• Create visualizations and dashboards to communicate data insights to stakeholders.
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions.
• Stay up-to-date with the latest data analytics tools and techniques, and mentor team members on best practices.

Skills

SQL

Python

R

Data analysis

Education

Bachelor's degree in Data Science, Statistics, Computer Science, or related field

Tools

Tableau

Power BI

Job description

Willow Pacific Inc. in Miami, FL is seeking a Data Analyst to join our team. This full-time role offers a negotiable salary and entails analyzing data to support maritime industry solutions, creating reports, identifying trends, and providing insights to improve efficiency and sustainability.

You will collaborate with a close-knit team in our Miami office in a remote-first environment that still emphasizes in-person workshops and meetings for knowledge sharing and collaboration.