Client Data Analyst

Position Summary

The Senior BI & Data Quality Analyst will serve as the primary steward of data quality, governance, and reporting integrity for the Verizon Value business. This role is responsible for ensuring that data used internally and shared with Verizon stakeholders is accurate, consistent, timely, and trusted across all reporting and analytical deliverables.
The position will partner with Client Services, Analytics, Data Engineering, Operations, and Verizon stakeholders to establish reporting standards, validate data sources, investigate discrepancies, and develop scalable business intelligence solutions. The role will play a critical part in maintaining confidence in performance reporting while reducing manual effort through automation, standardization, and quality assurance processes.

Data Quality & Governance

• Own data quality, reporting accuracy, and KPI governance for Verizon Value.
• Develop and maintain validation, reconciliation, and quality assurance processes.
• Investigate and resolve data discrepancies across source systems, dashboards, and client reporting.
• Establish and document KPI definitions, business rules, and calculation methodologies.
• Monitor reporting outputs and proactively identify issues before they impact business decisions or client deliverables.
• Serve as the primary point of contact for reporting accuracy and data-related inquiries.
  

Business Intelligence & Reporting

• Develop and maintain Verizon Value dashboards, scorecards, and executive reporting.
• Build and support Power BI datasets, semantic models, and reporting automation solutions.
• Create standardized reporting templates and reusable BI assets.
• Improve reporting efficiency through automation and process optimization.
• Support ad hoc analytical requests and executive-level reporting needs.
  

Analytics Enablement

• Partner with analysts to ensure trusted, high-quality data is available for insights and storytelling.
• Collaborate with Data Engineering on data pipeline enhancements and issue resolution.
• Support the adoption of reporting standards and best practices across the organization.
  

Success Measures

Data Trust

• Reduction in data discrepancies identified by Verizon or internal stakeholders.
• Reduction in reporting rework and manual validation effort.
• Improved data quality and reporting accuracy metrics.
• Increased stakeholder confidence in reported results.

Operational Efficiency

• Reduction in manual reporting effort through automation.
• Faster report production and dashboard deployment.
• Increased adoption of standardized KPIs and reporting methodologies.

Client Impact

• Consistent on-time delivery of Verizon Value reporting.
• High client satisfaction with reporting quality and accuracy.
• Increased utilization of analytics for business decision-making.