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Project Controls Analytics Consultant
Aecom
Trusted global infrastructure consulting firm delivering engineering, design, construction management services.
Quantify and integrate risk impacts into forecasts and contingency planning to provide a holistic view of project performance, including supporting QSRA and QCRA.
Stay updated on advancements in analytics tools, techniques, associated technologies (including project controls software) and best practices within project and programme management.
Ensure that all controls analytics methodologies and practices adhere to industry standards and regulatory guidelines.
Collaborate with the risk management team to incorporate data-driven risk models into the controls process.
Develop and manage dashboards and reports that provide insights into project health across all PMO functions at project and programme level.
Present clear and actionable insights to stakeholders to enable effective project governance decisions.
Work closely with project teams to understand requirements, explore desired outcomes and deliver tailored analytics solutions.
Develop and monitor key project performance indicators and identify trends, deviations, and improvement opportunities.
Communicate complex analytics insights and recommendations in a clear and accessible manner to both technical and non-technical stakeholders.
Develop descriptive and predictive analytics models to assess potential project outcomes based on current data and trends.
What you bring
analytics tools
data modelling
certifications
data visualisation
degree
experience
Proficiency with cost and schedule analytics tools and familiarity with statistical analysis and data modelling techniques.
Professional certifications (e.g., AACE, PMI-PMP) are a plus.
Knowledge of data visualisation tools (e.g., Power BI, Tableau) and advanced Excel.
Bachelor’s degree in data science, Engineering, Project Controls, Finance, or a related discipline.
At least 5 years of experience in analytics, project controls, or financial management within infrastructure, construction, or energy sectors.
Proven experience in developing analytics solutions and driving data-led decision-making on large, complex projects.
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