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Entry Level Maritime Data Analyst Jobs in Virginia

Tresume and Asta CRS

Entry Level Data Analyst

Herndon, VA · On-site

$25 - $30/hr

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

CGI Inc.

Business Analyst - Entry Level

Fairfax, VA · On-site

Do you enjoy analyzing processes, collaborating with teams, and using data and AI-enabled tools to ... As an Entry Level Business Analyst, you'll work with cross functional teams to translate business ...

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

Entry-Level Analyst U.S. citizenship required. Are you a critical thinker with acumen for problem ... Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO ...

CDIT LLC

Junior Business Process Analyst

Norfolk, VA · On-site

$25.75 - $34.25/hr

Junior Business Process Analyst Program Navy Maritime Maintenance Enterprise Solution Technical ... NMMES includes approximately 79 IT systems, applications, networks, and data centers serving over ...

JCS Solutions LLC

Entry Level Analyst

Fairfax, VA · On-site

$45K - $58K/yr

Job Summary JCS Solutions LLC is seeking an Entry-Level Analyst to support data-driven decision making across our business operations. This role is designed for an early professional who is curious ...

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Entry Level Maritime Data Analyst information

What does an entry level maritime data analyst do?

An Entry Level Maritime Data Analyst collects, processes, and analyzes data related to maritime operations, such as shipping routes, vessel performance, port activities, and cargo movements. They use statistical tools and software to interpret data, create reports, and support decision-making for shipping companies or maritime organizations. This role often involves working closely with other analysts, engineers, and operational staff to improve efficiency, safety, and compliance within the maritime industry.

What are the key skills and qualifications needed to thrive as an entry level maritime data analyst?

To thrive as an Entry Level Maritime Data Analyst, you need a solid understanding of data analysis, statistics, and maritime industry fundamentals, usually supported by a relevant degree in data science, mathematics, or maritime studies. Familiarity with tools like Excel, SQL, GIS software, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and collaborate with maritime stakeholders. These skills are crucial for providing actionable insights that support decision-making and operational efficiency in the maritime sector.

What are some common challenges an entry level maritime data analyst might face when interpreting complex shipping data?

Entry Level Maritime Data Analysts often encounter challenges such as dealing with incomplete or inconsistent data, understanding industry-specific terminology, and adapting to rapidly changing maritime regulations. Interpreting data from multiple sources—like vessel tracking systems, weather reports, and port logs—requires strong attention to detail and problem-solving skills. To overcome these challenges, analysts frequently collaborate with experienced team members, use specialized maritime analytics tools, and participate in ongoing training to stay current with industry standards.

What is the difference between Entry Level Maritime Data Analyst vs Maritime Data Coordinator?

AspectEntry Level Maritime Data AnalystMaritime Data Coordinator
Required CredentialsBachelor's in Marine Science, Data Analysis, or related field; basic data skillsBachelor's in Marine Science, Data Management, or related; some experience in data coordination
Work EnvironmentData analysis in maritime companies, ports, or shipping firmsData management and coordination in maritime operations or logistics
Employer & Industry UsageCommonly employed in shipping, ports, maritime logisticsUsed in maritime operations, port authorities, shipping companies

While both roles involve maritime data, the Entry Level Maritime Data Analyst focuses on analyzing and interpreting data, whereas the Maritime Data Coordinator handles data organization and coordination tasks. The analyst role emphasizes data analysis skills, while the coordinator role leans more toward data management and communication within maritime organizations.

What are the most commonly searched types of Maritime Data Analyst jobs in Virginia?

The most popular types of Maritime Data Analyst jobs in Virginia are:

What are popular job titles related to Entry Level Maritime Data Analyst jobs in Virginia?

For Entry Level Maritime Data Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Maritime Data Analyst jobs in Virginia look for?

The top searched job categories for Entry Level Maritime Data Analyst jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Maritime Data Analyst jobs?

Cities in Virginia with the most Entry Level Maritime Data Analyst job openings:

Entry Level Maritime Data Analyst jobs near you
Infographic showing various Entry Level Maritime Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Forward Deployed Data Engineer with Security Clearance

BOAB Ventures

Manassas, VA • On-site

$114K - $137K/yr

Other

Re-posted 3 days ago

Job description

Job Description We're seeking a skilled Forward Deployed Data Engineer to help build next-generation data management and artificial intelligence platforms supporting maritime domain awareness missions. As a forward-deployed engineer, you'll work directly with customers-writing code, integrating systems, and solving complex technical challenges in operational environments. You'll serve as both an engineer and technical advisor, taking ownership of mission outcomes. This position requires a current or active U.S. Secret clearance. This role offers the opportunity to work on real-world projects involving sensor systems, edge data collection, and large-scale maritime data processing environments that directly support operational mission success. Responsibilities • Implement real-time data pipelines using MQTT and Redpanda for stream processing. • Implement offline data pipelines using Dagster for batch processing. • Parse and process binary message formats from various data sources. • Build data warehouses using PostgreSQL, Apache Iceberg, Parquet, and S3. • Design data models that support high-performance analytical queries. • Validate and normalize diverse data sources. • Improve local development environments and CI/CD workflows using modern tooling and GitHub Actions. Required Skills Required Skills • Expertise in time-series data processing and analysis (windowing, resampling, interpolation, etc.) • Proficiency in Python and Rust for data engineering workflows • Experience with binary message parsing • Experience with row-based and columnar data formats • Experience with OLTP and OLAP databases • Knowledge of distributed systems, streaming architectures, and batch processing patterns • Hands-on experience with workflow orchestration platforms such as Dagster or Airflow • Hands-on experience with streaming platforms such as Redpanda or Kafka • Experience working with binary message formats such as Protobuf Desired Skills Required Skills • Expertise in time-series data processing and analysis (windowing, resampling, interpolation, etc.) • Proficiency in Python and Rust for data engineering workflows • Experience with binary message parsing • Experience with row-based and columnar data formats • Experience with OLTP and OLAP databases • Knowledge of distributed systems, streaming architectures, and batch processing patterns • Hands-on experience with workflow orchestration platforms such as Dagster or Airflow • Hands-on experience with streaming platforms such as Redpanda or Kafka • Experience working with binary message formats such as Protobuf

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