Refined Products Analyst
Confirmed live in the last 24 hours
Kpler

201-500 employees

Data analytics firm for informed commodity trading
Company Overview
Kpler stands out as a leading data and analytics firm, providing critical insights to market professionals in dynamic and opaque markets like commodities, with a unique blend of artificial and human intelligence. The company's growth is evident in its expansion to over 40 markets, serving 4,500 users across 460 companies worldwide, and securing significant investment from top-tier private equity firms. Kpler's commitment to sustainable and efficient trade, coupled with its seamless integration into professional workflows via various platforms, positions it as a desirable workplace for those seeking to contribute to meaningful industry advancements.
AI & Machine Learning
Data & Analytics

Company Stage

Private

Total Funding

$200M

Founded

2014

Headquarters

Brussels, Belgium

Growth & Insights
Headcount

6 month growth

0%

1 year growth

7%

2 year growth

81%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
Data Structures & Algorithms
SQL
Tableau
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • At least 3-5 years of experience as a refined products analyst or other petroleum product-related background
  • Exposure to light ends or middle distillate markets
  • Experience working with large, disparate and unstructured data sets (advanced Excel and SQL skills)
  • Strong capabilities in logical thinking with attention to details
  • Excellent analytical ability, at ease with working with databases, and ability to highlight trends and use complex data to support decisions
  • Willingness to learn, team player, quick learner, and ability to work within short deadlines across multiple tasks
  • Ability to work and communicate in an international cross-cultural environment
Responsibilities
  • Own daily checks of Kpler data to ensure the reliability and accuracy of global seaborne flows, inventories and demand
  • Draft fast-response analysis to ad-hoc requests from clients (emails, chats, video calls and in-person meetings)
  • Perform specific analysis to improve product and data quality continuously
  • Collaborate with the Engineering and Product team to propose new sources to extract automatically and improvements to data processing (business rules and algorithms)
  • Monitor market news and developments, extract meaningful patterns and detect new trends
Desired Qualifications
  • Experience in using SQL, Python, R or Tableau