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Data Analyst - Oil & Gas Operations
Remote / Online - Candidates ideally in
South Africa
Listed on 2026-10-09
South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-10-09
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager
Job Description & How to Apply Below
Our client is seeking a skilled Data Analyst to join their operations team, working remotely from anywhere in South Africa . This role will focus on analyzing vast datasets generated from oil and gas exploration, production, and operational activities. You will translate complex data into actionable insights, identify trends, and support decision-making processes to enhance efficiency and performance across the organization.
This is an excellent opportunity for a data-driven professional to leverage their analytical expertise in a critical sector, driving strategic improvements through informed insights.
- Collect, clean, and organize large datasets from various oil and gas operational sources.
- Develop and implement data analysis models to identify performance trends and anomalies.
- Create dashboards and reports to visualize key performance indicators (KPIs) for management.
- Collaborate with engineering and operations teams to interpret data and provide insights.
- Utilize statistical methods and data mining techniques to uncover patterns and insights.
- Ensure data accuracy, integrity, and security in all analytical processes.
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
- Proven experience as a Data Analyst, preferably within the oil and gas industry.
- Proficiency in data analysis tools such as SQL, Python (Pandas, Num Py), or R.
- Experience with data visualization tools like Tableau or Power BI.
- Strong understanding of statistical analysis and data modeling.
- Excellent communication and presentation skills for conveying findings remotely.
- Competitive salary and performance-based incentives.
- Fully remote work arrangement, offering flexibility and work-life balance.
- Comprehensive health, dental, and vision insurance.
- Generous annual leave and paid sick days.
- Opportunities for continuous learning and professional development in data analytics.
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