Data Engineer

Description: In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Systems Architecture Review and analyze complex multi-faceted, larger scale or longer-term Systems Architect challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables Strategically collaborate and consult with Client personnel Required Qualifications: 5+ years of Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education

Position Overview
We are seeking an experienced Senior Power BI & GCP Data Analytics Consultant to support enterprise analytics, reporting, process intelligence, and Human-in-the-Loop (HITL) initiatives. This contractor will play a critical role in designing scalable data pipelines, developing executive dashboards, implementing KPI frameworks, and operationalizing Statistical Process Control (SPC) reporting across business and technology functions.
The ideal candidate combines deep expertise in Power BI, Google Cloud Platform (GCP), data engineering, business intelligence, and statistical analytics to deliver solutions that improve transparency, operational performance, process control, and executive decision-making.
This role requires collaboration with business stakeholders, data engineers, product owners, process intelligence teams, and senior leadership to transform data into actionable insights.

Required Qualifications/ Must Have
• 5+ years of hands-on experience developing Power BI solutions.
• 3+ years of experience working within Google Cloud Platform (GCP).
• Experience building executive dashboards and enterprise reporting solutions.
• Strong understanding of dimensional modeling and business intelligence best practices.
• Experience working with large-scale datasets and enterprise environments.
• Strong analytical, problem-solving, and communication skills

Key Responsibilities
Power BI Reporting & Dashboard Development
• Design, develop, and maintain enterprise-grade Power BI dashboards, scorecards, and reporting solutions.
• Build executive, operational, and strategic reporting that enables data-driven decision making.
• Develop complex data models, semantic layers, KPIs, calculations, and DAX measures.
• Create interactive visualizations highlighting trends, risks, performance, and opportunities.
• Optimize dashboard performance, refresh schedules, and user experience.
• Collaborate with business stakeholders to gather requirements and translate them into reporting solutions.
• Establish reporting standards, governance, and documentation.
GCP Data Ingestion & Data Engineering
• Design, build, and optimize data ingestion pipelines into Google Cloud Platform (GCP).
• Develop ETL/ELT processes to ingest data from enterprise applications, APIs, operational systems, and third-party sources.
• Work with BigQuery and cloud-native services to support scalable analytics solutions.
• Support data transformation, data quality validation, and reconciliation processes.
• Develop automated ingestion and monitoring capabilities to support operational and analytical use cases.
• Optimize data processing and storage architectures for performance and scalability.
• Collaborate with enterprise architecture and platform teams to align with cloud standards and best practices.
KPI Development & Performance Analytics
• Partner with business teams to define, document, and operationalize KPI frameworks.
• Develop executive scorecards and operational performance reporting.
• Create leading and lagging indicators to measure:
o Productivity, Quality, Throughput, Cycle Time, SLA Performance, Exception Rates, Process Efficiency, Operational Risk
• Design KPI governance processes, metric definitions, thresholds, and reporting standards.
• Deliver monthly and quarterly business performance reporting packages.
Statistical Process Control (SPC) & e-HITL Analytics
• Develop and maintain Statistical Process Control reporting for Human-in-the-Loop (HITL) and operational process management programs.
• Design and implement SPC visualizations and performance monitoring capabilities including:
o X-Bar Charts, Moving Range Charts, P-Charts, C-Charts, U-Charts, Control Limit Monitoring, Process Capability Analysis, Performance Trend Analysis, Outlier Detection, Variance Analysis
• Monitor process stability and identify common cause and special cause variation.
• Establish automated alerting and threshold monitoring based on control limits and performance targets.
• Support continuous improvement initiatives through data-driven root cause analysis and trend identification.
• Partner with process owners and control teams to evaluate control effectiveness and operational health.
Advanced Analytics & Insights
• Perform trend analysis, forecasting, statistical analysis, and operational assessments.
• Identify emerging risks, process bottlenecks, and optimization opportunities.
• Develop executive narratives and data-driven recommendations for leadership teams.
• Support process intelligence, observability, automation, AI, and analytics initiatives.
• Participate in Agile ceremonies including sprint planning, backlog grooming, and delivery reviews.

Deliverables
The consultant will be expected to deliver:
• Executive Power BI dashboards and scorecards
• Operational and KPI reporting solutions
• Automated GCP data ingestion pipelines
• Curated analytical data sets and reporting marts
• e-HITL Performance Management Dashboards
• Statistical Process Control (SPC) Monitoring Suite
• Control Chart and Threshold Monitoring Frameworks
• Data Quality and Reconciliation Reporting
• Executive Monthly Business Review (MBR) Reporting Packages
• Technical Documentation and Knowledge Transfer Materials