Amaiden Energy Nigeria Limited (formerly Moody International Nigeria Limited) was established in 1996 as a partnership between Moody International Group and Nigerian investors. Since commencing operations in March 1997 the company continues to grow and exerts its presence in numerous Projects in the Nigeria Oil and Gas Industry.

Job Summary

• We are seeking a highly skilled and results-driven Senior Data Analyst to support data-driven decision-making through advanced analytics, reporting, and dashboard development.
• The ideal candidate will have strong experience in data extraction, transformation, and visualization, with a solid background in working with enterprise systems (e.g., CMMS, SAP) and delivering insights that improve operational efficiency and asset performance.

Key Responsibilities

• Extract, transform, and load (ETL) data from multiple sources including CMMS platforms (e.g., SAP-PM, PACER)
• Analyze large and complex datasets to identify trends, anomalies, and opportunities for performance improvement
• Develop and maintain interactive dashboards and reports using Power BI, Excel, and other visualization tools
• Perform advanced data analysis using SQL, DAX, and Python (NumPy, Pandas)
• Monitor and ensure data quality, integrity, and consistency across systems
• Support internal and external audits by providing accurate data and reporting documentation
• Prepare and present periodic reports (e.g., Asset Integrity Reports, Operational Performance Reports)
• Collaborate with cross-functional teams (Planners, Schedulers, Technicians, and Management) to define data needs and reporting requirements
• Automate data processes and reporting workflows to improve efficiency
• Design and develop data-driven tools (Excel, Access, Power Apps) to enhance productivity
• Provide training and support to end-users on data tools, dashboards, and CMMS systems.

Requirements & Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field
• 5 - 8 years of experience in data analysis, reporting, or business intelligence roles
• Strong experience with SQL and database management (MySQL, MS Access, MongoDB, etc.)
• Proficiency in Power BI, Microsoft Excel (advanced), and Microsoft Power Platform
• Hands-on experience with Python for data analysis (NumPy, Pandas, Jupyter Notebook)
• Familiarity with enterprise systems such as SAP-PM or other CMMS tools
• Experience in data visualization and dashboard design
• Knowledge of ETL processes and data warehousing concepts
• Strong understanding of KPIs, performance metrics, and reporting frameworks
• Excellent problem-solving, analytical, and critical thinking skills
• Strong communication and stakeholder engagement skills.