Data Analyst at Pipeline Infrastructure Nigeria Limited

Pipeline Infrastructure Nigeria Limited (PINL) is a wholly Nigerian company incorporated in 2019 to render various services to Operators and Key Players in the Nigerian oil and gas sector. PINL is committed to providing excellent services in Engineering, Procurement, Construction, Maintenance and Security Services that consistently meet local and international standards. We provide innovative solutions that are proven cost-effective through the deployment of state-of-the-art technology and modern-day equipment to deliver our projects.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Port Harcourt, Rivers
Employment Type: Contract

Job Summary

• We are seeking a highly analytical and detail-oriented Data Analyst to join our team in the oil and gas sector.
• The ideal candidate will be responsible for collecting, processing, and analyzing complex datasets to support data-driven decision-making. 
• This role requires strong data visualization skills, statistical analysis capabilities, and industry-specific knowledge to optimize operations and business performance.

Key Responsibilities

• Collect, clean, and analyze large datasets related to production, operations, and market trends in the oil and gas sector.
• Develop and maintain dashboards, reports, and data models to support business intelligence and strategic planning.
• Provide insights and recommendations based on data analysis to improve efficiency and reduce costs.
• Work closely with engineering, finance, and operations teams to identify data needs and drive analytical solutions.
• Utilize predictive analytics and machine learning models to forecast trends and enhance decision-making.
• Ensure data integrity, accuracy, and compliance with industry regulations.
• Present findings to management and stakeholders through clear reports and visualizations.

Qualifications & Experience

• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or a related field.
• Minimum of 4 years of experience in data analysis, preferably in the oil and gas industry.
• Proficiency in SQL, Python, R, or other data analysis tools.
• Strong experience with data visualization tools such as Power BI, Tableau, or similar.
• Knowledge of oil and gas industry metrics, production data, and market trends.
• Experience in working with large datasets and database management.
• Strong problem-solving skills and attention to detail.

Preferred Skills:

• Experience with geospatial data and GIS tools.
• Familiarity with industry-specific software and databases.
• Knowledge of predictive modeling and machine learning techniques.

Application Closing Date
10th March, 2025.

How to Apply
Interested candidates should submit their CV to: [email protected] using the Job Title as the subject of the email.