Senior Data Analyst (0012 Jan 2026)

Royal Ocean Marine

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Singapore, Singapore, Singapore on site Until 8/21/2026 3+ years exp First posted January 29, 2026 Last posted January 29, 2026
Job description

Royal Ocean Marine is looking for a detail-oriented and experienced Senior Data Analyst to join our client's a shipping company dynamic team. In this role, you will leverage your analytical skills to analyze complex data sets, deriving insights that will drive strategic decisions for our clients in the maritime industry.

As a Senior Data Analyst, you will be responsible for collecting, processing, and analyzing quantitative data from various sources. You will also create visualizations and reports that effectively communicate findings to stakeholders, and collaborate with other departments to ensure data-driven decision-making.

Key Responsibilities

  • Data Strategy & ETL: Oversee the extraction, transformation, and loading (ETL) of data from various sources into our client's core systems. Ensure SQL databases are optimized and reliable.
  • Actionable Intelligence: Transform raw market data into high-value research insights and intelligence reports to support the client team’s strategic goals.
  • Commercial Enablement: Provide real-time operational support to the brokerage and commercial desks, offering data-backed confidence during contract negotiations and "fixing" processes.
  • Forecasting & Trends: Build and maintain sophisticated models to forecast market volumes and identify emerging trends.
  • Reporting Excellence: Manage the delivery of daily/weekly reports and interactive dashboards, ensuring 100% data integrity and relevance to current market conditions.
  • Stakeholder Briefings: Support the client team by preparing presentation materials and delivering clear, concise market updates to external partners.

What Our Client is Looking For

  • Coding Advantage: Basic knowledge of Python or other programming languages is highly advantageous.
  • Analytical Depth: A proven ability to process information independently and provide a "big picture" view of the market.
  • Communication: A customer-oriented professional who is articulate and comfortable presenting findings to a sophisticated audience.
  • Industry Preference: * Direct experience in shipping or shipbrokering will be a significant added advantage.
  • Familiarity with international trade and commodities is a strong plus.

Why Join This Team? Our client offers a fast-paced, intellectually stimulating environment where data is at the heart of their commercial success. This is an excellent opportunity for an analyst who wants their work to be seen and utilized in real-time by senior stakeholders.

Requirements

  • Bachelor's degree in Data Science, Statistics, Mathematics, Maritime or a related field; Master's degree preferred.
  • 3 to 5+ years of experience as a Data Analyst or similar role.
  • Proficient in data analysis tools and languages such as Python, R, or SQL will be advantageous
  • Experience with data visualization tools such as Tableau or Power BI. will be advantageous
  • Strong analytical and critical thinking skills.
  • Excellent communication skills, with the ability to present complex information clearly.
  • Experience in the maritime industry is a plus but not mandatory.
  • Strong attention to detail and ability to work independently on multiple projects.

Benefits

Chan Chee Meng
EA 07C3069
R1110620

About this role

Summary

Analyze complex data, create reports, support strategic decisions, and build forecast models in maritime industry.

Job title

Senior Data Analyst

Experience level

3+ years

Minimum experience

3+ years exp

Industry

maritime

Location requirements

On-site in Singapore, no remote work allowed

Salary

Not specified

Management role

No

Skills & keywords

Required skills

PythonSQLdata analysisreportingvisualization

Preferred skills

RPower BImaritime industry experience

Specializations

ETLforecastingvisualizationSQLPython
Locations

Structured locations inferred from the posting.

Singapore

On-site City
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