Market Research Intern: Data, AI & Dashboards

Phillips 66

Singapore

On-site

SGD 11,000 - 20,000

Full time

3 days ago
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Job summary

Phillips 66 invites applications for a Market Research Intern in Singapore from 1 December 2026 to 30 June 2027. You will collect and manipulate data to generate reports, analyze energy markets, and track ship movements to support trading desks.

Proficiency in Excel and SQL, plus exposure to Power BI, will be essential. Join our international trading team to develop market insights, automate data workflows, and build AI-assisted analytical processes while gaining hands-on experience in energy

Qualifications

  • Internship experience in data mining, oil products ship tracking, energy commodity analysis.
  • Exposure to AI productivity tools, including the ability to craft effective prompts, minimize model errors, and design simple AI‑supported analytical workflows.

Responsibilities

  • Perform data collection and manipulation to generate reports and market insights.
  • Analyze supply, demand and trade fundamental data and update the trading team with key market developments.
  • Conduct detailed ship tracking on a regular basis, depending on the specific desk needs.
  • Automate data manipulation work processes and support the building of predictive models.
  • Build Power BI dashboards using available datasets to enhance data visualization and analysis.
  • Strong proficiency in Microsoft Excel and working knowledge of SQL.

Skills

data mining
oil products ship tracking
energy commodity analysis
AI productivity tools

Tools

Power BI
Microsoft Excel
SQL

Job description

Phillips 66 invites applications for a Market Research Intern in Singapore from 1 December 2026 to 30 June 2027. You will collect and manipulate data to generate reports, analyze energy markets, and track ship movements to support trading desks.

Proficiency in Excel and SQL, plus exposure to Power BI, will be essential. Join our international trading team to develop market insights, automate data workflows, and build AI-assisted analytical processes while gaining hands-on experience in energy

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