Top Analysis Reporting Jobs in Nashville, TN

Defines and executes enterprise data strategy and architecture, transitioning legacy integrations to domain-driven data products. Establishes systems of record, governance standards, data ownership, and modernization roadmaps. Leads adoption of scalable, event-driven and real-time data patterns, evaluates platforms and integration technologies, and aligns executives across business and technology teams. Provides architectural mentorship and drives enterprise-wide migration, data quality, compliance, and adoption without direct reports.

Lead and grow a data engineering team to build a trusted, fast, composable, and self-serve data platform. Define architecture and roadmap for ingestion, transformation, governance, and analytics; ensure reliability, observability, and security; partner cross-functionally with Product, Analytics, Security, and Engineering; be a hands-on player-coach delivering scalable data systems using Snowflake, dbt, and self-serve analytics.

Leads operational reporting, analytics, quality monitoring, and data improvement for Government Savings Operations. Manages analysts, oversees KPI and SLA reporting, identifies trends and data-quality issues, and delivers actionable recommendations to leadership. The role drives reporting automation using Power BI and AI-enabled tools, reduces manual data preparation, supports forecasting and capacity planning, maintains controls and documentation, and partners with operations and technology teams on continuous improvement and regulatory compliance.

Analyzes call center operational data from ITSM, telephony, and workforce management systems. Develops dashboards, scorecards, recurring reports, and customer-facing performance deliverables. Monitors trends, SLA compliance, quality metrics, and staffing data; performs root cause analysis and recommends improvements. Maintains data governance standards, reporting infrastructure, and documentation; supports operational reviews and stakeholder briefings. Mentors junior analysts and responds to ad hoc reporting requests.

Analyzes business data to identify trends, anomalies, and opportunities; fulfills reporting requests; maintains and builds Tableau dashboards; writes SQL queries; uses Excel and AI tools for analysis; validates data quality; and communicates actionable insights to stakeholders. The role also documents reporting processes, manages competing priorities, and partners with teams to translate business questions into dashboards and analyses.

Support Items Master Data Management by collecting, cleansing, and analyzing supply chain product, contract, and pricing data. Build SQL-based reports and dashboards, ensure data quality and governance, support system implementations and migrations, and collaborate cross-functionally to drive standardization and operational improvements.

Analyzes clinical and operational data to develop reports, dashboards, scorecards, and recommendations that improve nurse triage quality, efficiency, staffing, and patient care. The role applies statistical methods, validates and reconciles complex data, supports quality audits, evaluates interventions, maintains metric definitions, and communicates evidence-based findings to clinical and business leaders.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Leads enterprise-scale data engineering and architecture using Databricks and Azure. Designs lakehouse solutions, builds high-performance pipelines, establishes engineering standards, mentors engineers, embeds with teams to accelerate critical projects, manages technical risks, and advises stakeholders on data strategies, governance, scalability, security, and cost efficiency.

Own and evolve the enterprise Microsoft Fabric data lake, including architecture, pipelines, transformations, data models, reliability, cost, and DevOps. Lead data governance, quality, lineage, metadata, master data, access controls, and certified metrics. Build Power BI models supporting reporting and AI applications, write production code, transition platform ownership from a vendor, and lead two developers. Partner with business and technology stakeholders while preparing governed data for AI and agentic solutions.