Project Performance Analyst

4 days ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Al Nahiya Group Full time
PMO Job Description

We are seeking a skilled PMO analyst to join our team at Al Nahiya Group. The successful candidate will be responsible for collecting, analyzing, and interpreting project data to inform business decisions.

Key Responsibilities:
  1. Data Collection and Analysis: Gather and clean project data from various sources, using statistical methods to track metrics such as budget, timelines, and resources.
  2. Performance Metrics: Develop automated models for real-time performance monitoring and agile decision-making, identifying inefficiencies and bottlenecks, and providing insights to enhance project delivery and outcomes.
  3. Dashboards and Reporting: Create dashboards and reports to track key project metrics for senior management, conducting regular analysis to identify trends, risks, and optimization opportunities.
  4. Trend Analysis and Forecasting: Analyze historical data to inform predictive models for future performance, using forecasting techniques to predict resource needs, budget, and risks for better strategic planning.
  5. Risk Assessment and Mitigation: Assess risks by analyzing past performance and market conditions, developing and recommending strategies to mitigate risks, and integrating risk assessments into project plans for effective risk management.
Requirements:
  • 7-13 years of data analysis experience in a PMO or project-based environment with a strong grasp of project structures, KPIs, and reporting.
  • Proven background in industries where project data supports strategic decision-making, such as construction, engineering, or IT.
  • Engineering Knowledge: Strong understanding of engineering principles for contextualizing data in complex projects.
  • Advanced Excel Skills: Proficient in Excel with advanced functions, Power Query, pivot tables, and macros for efficient analysis and reporting.
  • Data Visualization: Skilled in Power BI for creating interactive dashboards and reports.
  • SQL and Python: Experienced in SQL for querying datasets; Python preferred for advanced analysis, automation, and scripting.


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