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.