Data Analyst Intern Full Time

The Company

Founded over thirty years ago, Perenco is an independent hydrocarbon producer involved in the entire lifecycle of projects, from exploration to decommissioning. Gross production is approximately 500,000 BOEPD. The group’s strength lies in the technical ingenuity and versatility of its more than 8,500 strong team, who deliver safe and environmentally aware solutions to oil and gas fields around the world. By enhancing and developing local resources, Perenco is proud to support economic growth and social development wherever it works. Perenco operates in 12 partner countries and is based in the United Kingdom.

The Role

We are seeking a motivated Data Analyst Intern to support our global operations. This is a hands-on opportunity to work with databases, develop analytical solutions, and contribute to data-driven decision-making within petroleum operations.

You will collaborate closely with the Production Data Analyst to help maintain database integrity, contribute to application development, build Power BI dashboards, and optimize data workflows. This role offers valuable exposure to data lifecycle management, large-scale data administration, and business intelligence within an industry setting.

Tasks & responsibilities:

• Support SQL database queries for data loading and data extraction.
• Assist with data preprocessing in Python, including data cleaning, transformation, and quality control.
• Contribute to the development and maintenance of Power BI dashboards and reports.
• Support data quality checks and anomaly checks across databases.
• Collaborate with technical teams to translate geoscience requirements into effective data solutions.
• Document data processes and support ongoing database optimization initiatives.

Qualification / Experience / Specification

• Currently pursuing or recently completed a degree in Engineering, Geoscience, Data Science, or related STEM field.
• Strong SQL skills in writing complex queries (Joins, Sub-queries, CTE, etc…).
• Proficiency in Excel and Power BI (DAX, data modelling, visualization).
• Familiarity using Python for its big data capabilities (Pandas, Numpy, Scipy, etc…).
• Comfortable using Github for version control.
• Strong attention to detail and a methodical approach to work.
• Analytical mindset with solid problem-solving abilities.
• General knowledge of Snowflake and dbt is a plus.
• Interest in learning about the petroleum industry (prior O&G knowledge is advantageous but not required).