Senior Reporting and Data Analysis Engineer
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Key skills for this role
About the Role
Develop, maintain, and standardize PMC reports, dashboards, and KPIs. Consolidate project data into clear portfolio-level reports and executive summaries. Prepare regular (e.
Key Skills for This Role
Responsibilities
- Develop, maintain, and standardize PMC reports, dashboards, and KPIs.
- Consolidate project data into clear portfolio level reports and executive summaries.
- Prepare regular (e.g., weekly, monthly/quarterly) performance and status reports, plus ad hoc analyses.
- Ensure alignment of reporting with project controls processes (schedule, cost, risk, change).
- Coordinate with project controls team to ensure integrated, consistent data.
- Manage and enhance reporting tools and systems.
- Develop and improve automated data models and dashboards to reduce manual effort.
- Define and enforce data quality standards, including validation, completeness, and timeliness.
- Act as the focal point for PMC reporting, communicating key trends, risks, and issues to leadership.
- Train and support project teams on reporting standards, tools, and best practices.
- Drive continuous improvement in reporting processes, cycle time, and insight quality.
Requirements
- Experience in developing and maintaining reports, dashboards, and KPIs
- Strong data analysis and data modeling skills
- Knowledge of project controls processes (schedule, cost, risk, change)
- Ability to train and support project teams on reporting standards
Full Job Posting
Key Responsibilities
- Develop, maintain, and standardize PMC reports, dashboards, and KPIs.
- Consolidate project data into clear portfolio level reports and executive summaries.
- Prepare regular (e.g., weekly, monthly/quarterly) performance and status reports, plus ad hoc analyses.
- Ensure alignment of reporting with project controls processes (schedule, cost, risk, change).
- Coordinate with project controls team to ensure integrated, consistent data.
- Manage and enhance reporting tools and systems.
- Develop and improve automated data models and dashboards to reduce manual effort.
- Define and enforce data quality standards, including validation, completeness, and timeliness.
- Act as the focal point for PMC reporting, communicating key trends, risks, and issues to leadership.
- Train and support project teams on reporting standards, tools, and best practices.
- Drive continuous improvement in reporting processes, cycle time, and insight quality.
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