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Systems Architect

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Randstad Digital
Full Time position
Listed on 2026-08-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Engineering
Salary/Wage Range or Industry Benchmark: 64.54 - 69.54 USD Hourly USD 64.54 69.54 HOUR
Job Description & How to Apply Below
job summary:

Randstad Digital is hiring and we're looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit  to view and apply.

location:
Charlotte, North Carolina

job type:
Contract

salary: $64.54 - 69.54 per hour

work hours: 8am to 5pm

education:
Bachelors

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.

Google Cloud Platform Data Ingestion & Data Engineering

  • Design, build, and optimize data ingestion pipelines into Google Cloud Platform (Google Cloud Platform).
  • Develop ETL/ELT processes to ingest data from enterprise applications, APIs, operational systems, and third-party sources.
  • Work with Big Query 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:
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:
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.
qualifications:

Required Qualifications

5+ years of hands-on experience developing Power BI solutions.

3+ years of experience working within Google Cloud Platform (Google Cloud Platform).

Advanced experience with:

o Power BI Desktop

o Power BI Service

o DAX

o Power Query (M)

o SQL

o Data Modeling

o Big Query

o ETL/ELT Development

o Data Integration and Transformation

Experience building executive dashboards and enterprise reporting solutions.

robust understanding of dimensional modeling and business intelligence best practices.

Experience working with large-scale datasets and enterprise environments.

robust analytical, problem-solving, and communication skills.

Preferred Qualifications

- Experience supporting Human-in-the-Loop (HITL), AI Operations, Process Intelligence, Automation, or Digital Transformation programs.

- Experience implementing Statistical Process Control (SPC) methodologies.

- Knowledge of Lean, Six Sigma, Operational Excellence, or Continuous Improvement frameworks.

- Experience developing KPI scorecards and operational health dashboards.

- Proficiency with:

o Python

o APIs

o Git-based source control

o Agile/Scrum methodologies

o Data Governance and Metadata Management

Experience with process mining, observability, automation, or workflow analytics platforms.

Financial services or highly regulated industry experience…

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