Data Analyst (Reporting & Analytics)

Published
March 23, 2026
Location
BONNY ISLAND, Nigeria
Category
Others  
Job Type
Job Nature
STANDARD
Date of Expiry
23rd April 2026

Description

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

Job Requirement

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
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