Data Analyst

Job Type: Full Time
Experience: 4 years
Location: Lagos

Company: Pipeline Infrastructure Nigeria Limited

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.

Method of Application

Interested candidates should submit their CV to: hr@pipeline-infrastructureng.com