Project Performance Data Analyst

A company in the Information Technology sector is hiring a Project Performance Data Analyst. This opportunity is ideal for professionals with extensive experience in data analysis, statistical and operational reporting, particularly within the context of engineering and infrastructure projects.

The Project Performance Data Analyst plays a vital role in supporting strategic and operational decision-making by transforming raw data into actionable insights. This role requires a deep understanding of Key Performance Indicators (KPIs) and the ability to design and develop interactive dashboards and comprehensive reports that contribute to improving project efficiency and monitoring progress.

Responsibilities:
• Analyze operational and technical data, extracting indicators and results to support administrative and technical decisions.
• Prepare and design interactive dashboards and graphical reports using data analysis tools such as Power BI.
• Collect, organize, clean, and verify the accuracy of data from multiple sources before conducting analyses.
• Prepare periodic reports related to Key Performance Indicators (KPIs), achievement levels, and operational efficiency for projects.
• Develop and update project monitoring dashboards, including completion rates, quality, performance, cost, and timeline indicators.
• Analyze variances between actual and target performance and provide appropriate recommendations to address deviations.
• Prepare administrative and executive reports and presentations for senior management and clients.

Job details:
📍 Work Location: Not specified
💼 Job Type: Full-time
🏢 Workplace Type: Onsite
🎓 Experience Level: 5+ years of experience

🔹 High university degree in Computer Science, Information Systems, Information Technology, Data Analysis, or a related field from an accredited university.
🔹 Minimum of 5 years of practical experience in data analysis, statistical and operational reporting, and dashboard creation.
🔹 Ability to analyze operational and technical data and extract indicators and results that support administrative and technical decision-making.
🔹 Experience in preparing and designing interactive dashboards and graphical reports using data analysis tools.
🔹 Proficiency in Microsoft Power BI or similar Business Intelligence tools for preparing visual reports and analyses.
🔹 Advanced proficiency in Microsoft Excel, including Pivot Tables, advanced functions, data analysis, and chart creation.
🔹 Ability to collect, organize, clean, and verify the accuracy of data from multiple sources before conducting analyses.
🔹 Experience in preparing periodic reports related to Key Performance Indicators (KPIs), achievement levels, and operational efficiency.
🔹 Previous experience in engineering supervision projects or project management related to the National Water Company (NWC) is preferred.
🔹 Knowledge of the nature of infrastructure projects, water and sanitation networks, and performance monitoring mechanisms in engineering projects is an added advantage.
🔹 Ability to design analytical models and reports that help monitor project progress, identify deviations, and operational risks.
🔹 Knowledge of databases and SQL language for data extraction and analysis is an added advantage.
🔹 Familiarity with data processing tools such as Power Query and DAX to enhance analysis efficiency and dashboard preparation.
🔹 Ability to present complex data in a simplified and clear manner through interactive charts, indicators, and executive reports.
🔹 Strong analytical skills and high accuracy in dealing with data, numbers, and technical information.
🔹 Ability to develop and update project monitoring dashboards, including completion percentages, quality, performance, cost, and timeline indicators.
🔹 Experience in preparing daily, weekly, and monthly reports related to project performance and operational processes.
🔹 Ability to analyze discrepancies between actual and target performance and provide appropriate recommendations to address deviations.
🔹 Familiarity with Data Governance, Data Quality, and information database management concepts.
🔹 Ability to develop standardized models for data collection from project teams and various departments.
🔹 Experience in preparing administrative and executive reports and presentations for senior management and clients.
🔹 Ability to monitor the performance indicators of contractors, consultants, and projects according to the requirements of the owning entities.
🔹 Knowledge of performance indicators related to engineering projects, such as work progress, productivity, adherence to schedules, and quality of execution.
🔹 Ability to automate recurring reports, improve data collection and update mechanisms, and reduce manual errors.
🔹 Familiarity with statistical analysis basics, trend analysis, and forecasting future indicators is an added advantage.
🔹 Knowledge of using Python or statistical analysis tools for data processing and advanced analysis is an added advantage.
🔹 Ability to handle large, multi-source databases and transform them into usable information.
🔹 Experience in preparing performance reports for government projects or public utility projects is an added advantage.
🔹 Ability to coordinate with project managers, engineers, and planning and follow-up teams to ensure data accuracy and report integration.
🔹 Good skills in using Microsoft PowerPoint for preparing presentations and executive reports.
🔹 Ability to analyze data-related problems, identify causes of variance, and propose corrective actions.
🔹 Advanced organizational skills and the ability to manage priorities and adhere to deadlines for report delivery.
🔹 Ability to maintain the confidentiality of data and information related to projects, clients, and owning entities.
🔹 Effective communication skills and the ability to present analytical results and recommendations professionally and clearly.
🔹 Ability to work within multidisciplinary teams and contribute to the development of monitoring systems and institutional performance efficiency.
🔹 Commitment to accuracy, professionalism, and quality in preparing reports and analyses, with the ability to support data-driven decision-making.