At a Glance
- Tasks: Drive data quality and coverage for dirty petroleum products across key markets.
- Company: Join Kpler, a dynamic company transforming global trade information.
- Benefits: Inclusive culture, professional growth, and the chance to make an impact.
- Other info: Supportive environment that values diverse perspectives and experiences.
- Why this job: Be at the forefront of oil market analysis and innovation.
- Qualifications: Bachelor’s degree and 3+ years in oil markets with strong data skills.
The predicted salary is between 50000 - 70000 £ per year.
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 850 experts from 69 countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape.
Your future position as an Oil Market Data Analyst is responsible for owning and driving the quality, coverage, and development of Kpler’s dirty petroleum products (DPP) data (e.g. fuel oil, VGO, feedstocks, bitumen/asphalt) across key regions and flows. You will act as a data and market focal point, proactively identifying gaps, improving methodologies, and leading initiatives that enhance data quality and product value. This includes working cross-functionally with Product, Engineering, and Commercial teams, as well as mentoring more junior analysts.
Your mission is to:
- Own end-to-end data quality and coverage for assigned DPP markets, flows, and geographies
- Lead complex data investigations, identify root causes of discrepancies, and implement structural fixes
- Perform and oversee large-scale data validation, ingestion, and backtesting against external benchmarks
- Act as a Data Ops focal point for DPP, working closely with Data Scraping, Product, and Engineering teams
- Proactively identify gaps in data coverage and drive initiatives to improve granularity and accuracy
- Leverage market knowledge to challenge data, make informed assumptions, and guide corrections
- Contribute to cross-product alignment (Flows, Refineries, S&D, Freight), ensuring consistency and integrity
- Lead or contribute to medium-to-high complexity data/product initiatives and improvements
- Support and mentor junior analysts, raising overall team capability
- Engage with commercial teams (Sales/CS) to translate client feedback into actionable improvements
You could be a match if you have:
- Bachelor’s degree in Economics, Engineering, Energy, Data Science, or related field
- 3+ years of experience in oil markets, with strong Crude or refined oil products exposure
- Strong understanding of global trade flows, shipping, and refinery dynamics
- Proven experience working with large, complex datasets and driving data quality improvements
- Advanced data handling skills - Excel (Advanced), SQL (Intermediate), Python (Basic to intermediate)
- Deep understanding of data flows, data processing, and validation methodologies
- Strong data investigation and troubleshooting capabilities
- Ability to translate market context into data driven decisions
- Ability to operate autonomously and drive initiatives forward
Desirable:
- Market knowledge of DPP flows, arbitrage, and infrastructure
- Experience working with geospatial / satellite / vessel tracking data
- Familiarity with data pipelines, scraping, or data architecture concepts
Kpler is committed to providing a fair, inclusive and diverse work environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
Oil Market Analyst employer: Kpler
At Kpler, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and cross-functional teamwork, ensuring that every team member can thrive in their role. Located in a dynamic market environment, we provide our employees with the tools and support needed to make impactful contributions while enjoying a diverse and inclusive workplace.
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We think this is how you could land Oil Market Analyst
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We think you need these skills to ace Oil Market Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kpler. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kpler
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
