Data Gathering, Cleansing, and Validation
-Work with different teams, departments, and stakeholders to collect data from various sources.
-Clean data to correct errors, remove inconcsistencies, and ensure reliability.
-Conduct regular audits to maintain data accuracy and adherence to standards.
Advanced Data Analysis for Performance Metrics
-Analyze project data using statistical methods to track metrics like budget, timelines, and resources.
-Create automated models for real-time performance monitoring and agile decision-making.
-Identify inefficiencies and bottlenecks, and provide insights to enhance project delivery and outcomes.
Tracking and Reporting on Project Performance
-Develop dashboards and reports to track key project metrics for senior management.
-Conduct regular analysis to identify trends, risks, and optimization opportunities.
-Customize reports for various audiences to support informed decision-making.
Trend and Forecasting Analysis
-Analyze historical data to inform predictive models for future performance.
-Use forecasting techniques to predict resource needs, budget, and risks for better strategic planning.
-Collaborate with business units to align forecasts with organizational goals.
Risk Assessment and Mitigation Proposals
-Analyze past performance and market conditions to assess risks.
-Develop and recommend strategies to mitigate risks.
-Work with PMO teams to integrate risk assessments into project plans for effective risk management.
Experience
-7-13 years of data analysis experience,
preferably 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.
Technical Skills
-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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