
Project Controls Analytics Consultant
- London
- Permanent
- Full-time
- Develop and manage dashboards and reports that provide insights into project health across cost, schedule, and risk performance.
- Monitor key project performance indicators and identify trends, deviations, and improvement opportunities.
- Present clear and actionable insights to stakeholders to enable effective project control decisions.
- Develop predictive analytics models to assess potential project outcomes based on current data and trends.
- Conduct root-cause analyses of project variances and propose mitigation strategies to support project continuity.
- Collaborate with the risk management team to incorporate data-driven risk models into the controls process.
- Quantify and integrate risk impacts into forecasts and contingency planning to provide a holistic view of project performance.
- Work closely with project teams to understand requirements and deliver tailored analytics solutions.
- Communicate complex analytics insights and recommendations in a clear and accessible manner to both technical and non-technical stakeholders.
- Ensure that all controls analytics methodologies and practices adhere to industry standards and regulatory guidelines.
- Stay updated on advancements in analytics tools, techniques, and best practices within project management.
- Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling.
- Experience with data integration and ETL processes, and familiarity with project management systems like PRISM or Primavera.
- Strong ability to interpret complex data sets, identify issues, and generate actionable insights.
- Skilled in analytical problem-solving, with attention to detail in monitoring, reporting, and decision support.
- Exceptional skills in conveying insights and analytics results to stakeholders through presentations and reporting.
- Familiarity with project controls disciplines such as cost control, scheduling, and risk management.
- Understanding of Earned Value Management (EVM) and techniques like cost forecasting, variance analysis, and benchmarking.
- Bachelor's degree in data science, Engineering, Project Controls, Finance, or a related discipline.
- Professional certifications (e.g., AACE, PMI-PMP) are a plus.
- 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.
- Knowledge of data visualisation tools (e.g., Power BI, Tableau) and advanced Excel.
- Proficiency with cost and schedule analytics tools and familiarity with statistical analysis and data modelling techniques.