Data Analysis Consultant III

ESRhealthcare and EXEC STAFF RECRUITERS•Newport Beach, CA

1d•Remote

About The Position

The Data Analysis Consultant III will assess the organization’s current operational data, reporting, and measurement capabilities and recommend improvements. The role will examine the completeness, consistency, and integrity of operational data and metric definitions; identify gaps in workload visibility; and evaluate data accessibility, reporting capabilities, metric governance, and the organizational capacity supporting operational data and reporting. The consultant will assess data needs for staffing models, capacity planning, forecasting, productivity measurement, automation, and operational planning. They will identify opportunities to simplify and standardize reporting, then develop a prioritized roadmap with recommendations, dependencies, sequencing, estimated effort, and quick wins. The role will also recommend a sustainable governance model for operational metrics and improvements to team structure, role alignment, capacity, and skills. Deliverables include a current-state assessment, gap analysis, prioritized roadmap, measurement governance recommendations, staffing model and operational planning data recommendations, and an executive summary presentation. Recommendations should be practical, actionable, phased appropriately, and focused on simplifying measurement, increasing confidence in metrics, reducing complexity, and establishing sustainable practices that support business decisions and future growth.

Requirements

10+ years of experience; the specific type of experience is not stated in the posting.
Strong knowledge of data visualization and business intelligence tools such as Power BI, Tableau, or similar platforms.
Leadership and consultant mindset, with the ability to study the current data landscape and recommend the as-is state.

Responsibilities

Review current operational reports, dashboards, data sources, and reporting capabilities.
Evaluate the completeness, consistency, and integrity of operational data and metric definitions.
Identify gaps in workload visibility, including work outside core workflow platforms, rework, manual activities, and outsourced operations.
Assess current data accessibility and reporting capabilities needed to manage the business effectively.
Evaluate governance of operational metrics, including ownership, accountability, standard definitions, and cross-functional alignment across Operations, Technology, Data Intelligence, and Finance.
Assess data needs for staffing models, capacity planning, forecasting, productivity measurement, automation, and operational planning.
Identify opportunities to simplify, standardize, and strengthen operational reporting and measurement capabilities.
Develop a prioritized roadmap covering recommendations, dependencies, sequencing, estimated effort, and quick-win opportunities.
Recommend a sustainable governance model to maintain the integrity and consistency of operational metrics.
Evaluate the effectiveness of the organizational structure, role alignment, capacity, and skill sets supporting operational data and reporting, and recommend improvements.
Deliver a current-state assessment, gap analysis, prioritized roadmap, measurement governance recommendations, staffing model and operational planning data recommendations, and an executive summary presentation.