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Maritime Data Analytics Jobs (NOW HIRING)

Curtin Maritime, Corp

Data Engineer

Long Beach, CA · Remote

$125K - $150K/yr

At Curtin Maritime, these core values are the framework for safe performance and operational ... Partner with business analysts to expose curated data throughPower BI,leveragingthe existing SQL ...

Tocaro Blue

Associate Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Associate Data Analyst Looking for an opportunity to make an impact at a fast growing, investor ... Tocaro Blue is transforming maritime technology by modernizing legacy marine radar systems through ...

Hadrian Automation

People Data Analyst

Los Angeles, CA · On-site

$150K - $180K/yr

We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand ... This is a build-from-the-ground-up opportunity: you won't inherit a mature analytics function with ...

Hadrian Automation, Inc

People Data Analyst

Los Angeles, CA · On-site

$150K - $180K/yr

We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand ... This is a build-from-the-ground-up opportunity: you won't inherit a mature analytics function with ...

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How much do maritime data analytics jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for maritime data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Maritime Data Analyst, and why are they important?

To thrive as a Maritime Data Analyst, you need strong analytical skills, knowledge of maritime operations, and a background in statistics or data science, often supported by a relevant degree. Proficiency with data analysis tools such as Python, R, SQL, and maritime-specific platforms like AIS data systems is typically required. Exceptional attention to detail, problem-solving ability, and effective communication make someone stand out in this role. These skills and qualities are crucial for interpreting complex maritime data, optimizing operations, and supporting data-driven decision-making in the industry.

What is the difference between Maritime Data Analytics vs Maritime Data Analyst?

AspectMaritime Data AnalyticsMaritime Data Analyst
Primary FocusAnalyzing maritime data to optimize operations and decision-makingCollecting, processing, and interpreting maritime data
Skills RequiredData analysis, maritime industry knowledge, statistical toolsData collection, basic analysis, reporting skills
Work EnvironmentData teams, maritime companies, logistics firmsOperational teams, maritime companies, ports
CertificationsData analysis certifications, maritime industry credentialsData analysis certifications, maritime safety or operations credentials

Maritime Data Analytics involves strategic analysis to improve maritime operations, while Maritime Data Analysts focus on collecting and interpreting data. Both roles require data skills and maritime industry knowledge, but Analytics professionals typically work on higher-level insights and decision support.

What is the salary of maritime data analyst?

The average salary for a maritime data analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in data analytics tools and maritime systems may earn higher salaries, especially with certifications or advanced degrees.

What does a maritime analyst do?

A maritime analyst collects, interprets, and analyzes data related to shipping, port operations, and maritime logistics to support decision-making and optimize maritime activities. They often use data analytics tools, geographic information systems (GIS), and industry knowledge to identify trends, improve efficiency, and ensure compliance within the maritime sector.

How does a Maritime Data Analytics professional typically collaborate with other departments within a shipping company?

Maritime Data Analytics professionals frequently collaborate with operations, logistics, and engineering teams to analyze vessel performance, optimize shipping routes, and enhance fuel efficiency. They often translate complex data insights into actionable recommendations, working closely with fleet managers and port operators to support decision-making. Collaboration is key, as data analysts must communicate findings clearly to non-technical stakeholders and ensure that data-driven solutions align with business goals.

What is maritime data analytics?

Maritime data analytics involves collecting, processing, and analyzing data related to shipping, port operations, vessel movements, and maritime logistics. Professionals in this field use tools like data visualization and statistical analysis to improve efficiency, safety, and decision-making in maritime environments. Skills in data management, programming, and knowledge of maritime systems are essential for this role.

What is the highest paying maritime job?

The highest paying maritime jobs are typically senior positions such as ship captains or chief engineers, with captains earning salaries often exceeding $150,000 annually. These roles require extensive experience, certifications, and leadership skills, and often involve long periods at sea and responsibility for vessel safety and operations.
More about Maritime Data Analytics jobs
What cities are hiring for Maritime Data Analytics jobs? Cities with the most Maritime Data Analytics job openings:
What states have the most Maritime Data Analytics jobs? States with the most job openings for Maritime Data Analytics jobs include:
What job categories do people searching Maritime Data Analytics jobs look for? The top searched job categories for Maritime Data Analytics jobs are:
Maritime Data Analytics jobs near you
Infographic showing various Maritime Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Data Engineer

Data Engineer

Curtin Maritime, Corp

Long Beach, CA • Remote

$125K - $150K/yr

Full-time

Posted 5 days ago

Job description

Efficiency. Innovation. Integrity. These are our 3 Pillars. At Curtin Maritime, these core values are the framework for safe performance and operational excellence; proof of these pillars is evident in our people and our fleet. For 25 years, Curtin Maritime has been an industry leader in quality maritime solutions. We are a dynamic Marine Construction and Marine Transportation company experiencing rapid growth. Our team provides customers with a complete suite of maritime solutions, allowing us the incredible opportunity to work on unique projects in some of the most amazing places on earth.


The business operateson a portfolio of specialized systems covering operations, payroll, procurement, accounting, and CRM. Integrating these systems into a unified data layer is a strategic, ongoing initiative.



About the Role

TheData Engineer helpsmaintainand extend the integration platform that connects our core business systems, including HELM Connect, Dayforce, Procurify, QuickBooks Online, and Dynamics CRM. The platform is built on mainstream Microsoft data technologies and supports operations, payroll, procurement, finance, and reporting across the organization.

This rolereports totheSenior Data Engineeron day-to-day development as well as longer-term initiatives - including the continued evolution of the company's unified project data layer and the expansion of Power BI as the primary self-service analytics platform.

This is a hands-on technical position suited to someone who enjoys solvingrealoperational and financial business problems with clean, well-structured data engineering.


Key Responsibilities

  • Develop andmaintainintegration pipelines inAzure Data Factorythat move and transform data between SaaS platforms and the company's data layer.
  • Write, optimize, andmaintainT-SQLcode - stored procedures, views, functions, and triggers - supporting both integration logic and downstream reporting.
  • Design andmaintainnormalized relational data modelsin Azure SQL Database and SQL Server.
  • Build andmaintainintegrations with vendor REST APIs, including authentication, pagination, retry logic, and structured error handling.
  • Support and extend SQL Server components used for real-time and complex-payload integration scenarios, including C# / CLR stored procedure modules.
  • Partner with business analysts to expose curated data throughPower BI,leveragingthe existing SQL layer (views, functions, semantic models) in a sustainable client/server model.
  • Monitor pipelines and integrations for reliability, performance, and data quality; investigate and resolve issues as they arise.
  • Document data flows, data models, and integration interfaces.
  • Participate in code reviews, technical discussions, and small-team planning.


Required Qualifications

  • 3+ years of professional experience in a data engineering or database development role.
  • AdvancedT-SQLskills: complex queries, stored procedures, performance tuning, indexing strategies.
  • Solid experience withAzure SQL Databaseand / or MicrosoftSQL Server.
  • Hands-on experience withAzure Data Factory, or an equivalent ETL / orchestration platform (SSIS, Informatica, Talend,Fivetran, etc.).
  • Working knowledge of relational data modeling, including normalized OLTP design.
  • Experience integrating withREST APIsandODataservices, including OAuth 2.0 / API key authentication, pagination, and error handling.
  • Strong written and verbal communication skills, with the ability to translate business requirements into data structures.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.


Preferred Qualifications

  • Experience withC# / .NET, particularly in the context of SQLServerCLR assemblies.
  • Experience developingPower BIdatasets and reports against SQL Server / Azure SQL sources, includingDirectQueryand composite models.
  • Familiarity withMicrosoft Entra ID(Azure Active Directory) for authentication and authorization.
  • Exposure to industries with significant operational complexity - maritime, construction, energy, orlogistics.
  • Experience integrating with HR / payroll, ERP, or operations platforms such as Dayforce, QuickBooks Online, Procurify, HELM Connect, or Dynamics CRM.


What You Will Work On

  • Extending the company's project data model so operational, financial, and labor data can be reliably attributed to specific projects, vessels, and phases.
  • Building new integrations asadditionalvendor systems are introduced.
  • Supporting the company's transition to Power BI as the primary analytics platform.
  • Improving monitoring, alerting, and documentation across the integration layer.


Who You Will Work With

You will work directly with theSenior Data Engineeron technical direction and day-to-day priorities, and partner closely with business analysts and stakeholders in accounting, payroll, operations, and project management. The team is small, the work hasdirectand visible impact on how the business runs, and there is meaningful room to grow.


Curtin Maritimeis an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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