Overview
Role: Project Analyst
Skills: Agile Waterfall, Excel, Power BI, Supply Chain Management, WMS
Duration: 6 months
Experience: 5+ years
Position Purpose
The Project Analyst provides analytical, reporting, and governance support to ensure projects are delivered effectively. This role focuses on data‐driven insights, performance tracking, and compliance with organizational standards.
Key Responsibilities & Mandates
* Data Analysis & Reporting: Collect, analyze, and present project data (status, risks, costs, timelines).
* Performance Tracking: Monitor KPIs and project health metrics; identify variances and trends.
* Financial Analysis: Support budgeting, forecasting, and cost tracking for projects.
* Risk & Issue Management: Maintain risk registers and assist in mitigation planning.
* Governance Support: Ensure compliance with PMO standards and reporting requirements.
* Documentation: Prepare dashboards, reports, and presentations for stakeholders.
* Tool Management: Maintain accurate data in project management tools (e.g., Jira, MS Project, Power BI).
* Process Improvement: Identify opportunities to streamline reporting and analysis processes.
* Stakeholder Support: Provide insights and recommendations based on data analysis.
* Change Impact Analysis: Assess implications of scope changes on timelines and budgets.
Skills & Competencies
* Strong analytical and problem‐solving skills.
* Proficiency in Excel, Power BI, and project management tools.
* Understanding of project management frameworks (Agile, Waterfall).
* Excellent attention to detail and ability to interpret complex data.
* Effective communication and presentation skills.
Key Performance Indicators (KPIs)
* Accuracy of Reports: % of reports delivered error‐free and on time.
* Timeliness: Adherence to reporting deadlines and governance schedules.
* Stakeholder Satisfaction: Positive feedback on insights and support provided.
* Data Integrity: Accuracy and completeness of data in project management tools.
* Risk Management: Timely identification and escalation of risks/issues.
* Financial Accuracy: Variance between forecasted and actual costs.
* Process Efficiency: Reduction in reporting cycle time through improvements.
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