Senior Global Inventory Analyst — Refined Products

Kpler

Moffat

On-site

GBP 70,000 - 90,000

Full time

7 days ago
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Job summary

Kpler is seeking a Senior Refined Products Inventory Analyst to power storage intelligence and extend our regional hub data to global coverage. You will map terminal infrastructure, validate satellite imagery, and optimize data workflows in collaboration with engineering and data operations teams to maintain high data integrity.

Ideal candidates bring 5+ years in inventory analytics, strong data handling skills (SQL/Python/Excel), and a track record of expanding datasets across regions while

Qualifications

  • 5+ years in inventory intelligence, terminal logistics, or oil market data analytics.
  • Experience with satellite/aerial/thermal imagery for validation.
  • Strong data handling with Excel, SQL, Python for auditing complex datasets.
  • Ability to build workflows autonomously and work remotely.

Responsibilities

  • Map and classify terminal infrastructure for refined products.
  • Validate satellite imagery to estimate capacities and detect anomalies.
  • Design scalable data onboarding and QA procedures with engineering teams.
  • Apply refinery storage and transport knowledge to maintain data integrity.
  • Lead data rollout from European and North American hubs to global coverage.
  • Collaborate with research, commercial, and product teams to share methodology.
  • Respond to ad-hoc client data requests with structured analysis.

Skills

Inventory analysis
Satellite imagery
Data handling
Remote work
Cross-functional collaboration

Tools

SQL
Python
Excel

Job description

Kpler is seeking a Senior Refined Products Inventory Analyst to power storage intelligence and extend our regional hub data to global coverage. You will map terminal infrastructure, validate satellite imagery, and optimize data workflows in collaboration with engineering and data operations teams to maintain high data integrity.

Ideal candidates bring 5+ years in inventory analytics, strong data handling skills (SQL/Python/Excel), and a track record of expanding datasets across regions while

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