Top Senior Analysis Reporting Jobs in Nashville, TN

Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.

Establishes and operationalizes enterprise data governance, stewardship, quality controls, metadata, lineage, and master data management practices. Supports Customer 360, golden records, regulatory compliance, AI readiness, and responsible AI initiatives. Partners with business, technology, legal, risk, privacy, and compliance teams to resolve data issues, automate governance workflows, improve data quality, and ensure trusted, traceable enterprise data. The role is onsite five days per week in Nashville, Tennessee.

Design, build, deploy, and operate production-grade data pipelines and products for healthcare and marketing datasets. Implement data models, Airflow workflows, data-quality controls, and PHI/PII privacy controls. Collaborate with product, analytics, and platform teams to support audience discovery, segmentation, activation, measurement, and reporting.

Provides analytical support to the Mortgage division by analyzing pipeline, production, performance, and external benchmark data. Develops and distributes leadership reports, maintains staffing models, administers the mortgage CRM platform, monitors usage, supports Salesforce integration, manages mortgage inquiry distribution, and centralizes recurring and ad hoc reporting. Collaborates with Mortgage leadership, Marketing, and other departments to improve CRM usage, reporting, forecasting, and data-driven decision-making.

Deliver consolidated wealth management reporting throughout the Addepar servicing lifecycle, including client onboarding, account setup, data validation, quality control, report production, platform maintenance, and case resolution. Investigate discrepancies, coordinate with custodians and vendors, support Financial Advisors and clients, document procedures, improve processes, and communicate technical findings and resolutions clearly.

Analyzes shipments, forecasts, consumption, mix, and business performance across brands, segments, SKUs, and customers. Builds dashboards and automated reports, identifies growth opportunities and emerging risks, supports annual business planning, and translates market and category insights into actions for sales teams. The role requires strong data interpretation, storytelling, stakeholder influence, and experience in the CPG industry.

Design, build, and maintain batch and streaming data pipelines; ingest, transform, and optimize data for analytics and BI; ensure data quality, reliability, and performance; implement monitoring/alerting; support MLOps and analytics workloads; collaborate with data scientists and BI teams; document AI systems and RAG/Cortex-based solutions.

Develop and maintain business intelligence reporting, analytics solutions, KPIs, data products, and stakeholder tools. Write SQL and T-SQL, transform data from internal and external systems, analyze data quality, automate processes, document procedures, and manage multiple projects. The role requires collaboration with technical and business stakeholders and is primarily on-site in Nashville, with a hybrid schedule available after onboarding.

Lead strategic initiatives by analyzing flight operations, maintenance, dispatch, and crew data to identify efficiency improvements. Monitor KPIs, perform root cause analysis, drive process improvements, collaborate cross-functionally, and prepare reports and presentations for senior leadership to inform operational strategy.

Leads an analytics team delivering actionable insights, forecasting, statistical analysis, reporting automation, visualization, and client-focused tools. Oversees analysts, develops team talent, enhances databases and analytical processes, manages client and vendor relationships, and presents recommendations to executives. The role requires advanced Excel, business intelligence, data mining, statistical modeling, cross-functional collaboration, and strategic leadership, with health insurance analytics experience preferred.