Data Analyst (Reporting & Analytics)

Job title : Data Analyst (Reporting & Analytics) Job Location : Rivers Deadline : April 24, 2026 Quick Recommended Links

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.