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Data Analyst (Reporting & Analytics) at Amaiden Energy Nigeria

Amaiden Energy NigeriaRivers, Nigeria Data and Artificial Intelligence
Contract
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. Amaiden Energy Nigeria Limited services portfolio includes; Outsourcing and Technical Staffing Services (TSS), Technical Inspection Services (TIS), Expediting and Status Reporting, Consultancy, Training and Procurement Services. In September 2014, the company became a fully owned Nigerian company and changed name to Amaiden Energy Nigeria Limited. Today’s major engineering and construction projects are increasingly more complex and demanding with sourcing materials from numerous locations around the world and from an increasing number of manufacturers. By having the right professional resource as contact and on the ground at the right time Amaiden Energy Nigeria Limited provides a one stop solution to supports our clients to ensure quality requirements and on-time delivery are met. Amaiden Energy was awarded the NIS ISO 9001:2008 by the Standard Organization of Nigeria (SON) in September 2014, our commitment to continuous improvement of our quality management system, consistent monitoring, evaluation of processes, products and service guarantees the provision of our various services in line with global best practices to meet and exceed customers’ expectations.

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.

Method of Application

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