Top Analysis Reporting Jobs in Nashville, TN

Own the end-to-end Customer Care reporting strategy, including dashboard development, data validation, stakeholder support, and reporting roadmap management. Analyze operational and quality data to identify trends, improve workflows, support advisor coaching, and guide leadership decisions. Partner cross-functionally to diagnose reporting gaps, prioritize fixes, and communicate clear, actionable insights. The role requires SQL, BI reporting experience, strong communication, attention to detail, and quarterly travel.

Designs, builds, and operates scalable enterprise data platforms and batch or streaming pipelines using Azure, Databricks, Snowflake, Delta Lake, and Azure Data Factory. Develops PL/SQL, Python, and Unix-based processing solutions, enables Generative AI workflows, and drives data architecture, governance, quality, security, and DevOps practices. Leads modernization and production support, partners with business and technical stakeholders, mentors engineers, and provides technical leadership for AI-enabled data solutions.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

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.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Leads sports science data operations, monitoring, quality control, dashboards, modeling, testing, and reporting to support player readiness, performance, recovery, and return-to-performance decisions. Provides actionable insights to coaches, medical staff, and players; manages GPS and performance technologies; integrates first-team, second-team, and academy data; and ensures compliance with MLS medical requirements.

Generates enterprise, market, customer, and competitive insights for Customer Solutions. Analyzes healthcare trends, customer needs, market opportunities, and competitive dynamics; builds models, forecasts, and scenario analyses; translates research and voice-of-customer data into strategic recommendations; presents executive-ready insights; and supports marketing and PMO initiatives.

Generates business, market, customer, and competitive insights for enterprise strategy and growth initiatives. Analyzes healthcare trends, customer needs, market opportunities, and competitive dynamics; builds forecasts, market models, and scenario analyses; synthesizes research, voice-of-customer data, and internal analytics; and presents executive-ready recommendations. Provides analytical and project support to marketing and PMO teams while translating customer insights into strategic actions.

Facilitates data review, validation, and entry while coordinating discussions and communicating across organizational levels. Plans and accomplishes goals using sound judgment, supports process improvement, and applies knowledge of system integration data flows and design considerations. Requires strong written and verbal communication, executive presence, creativity, and the ability to collaborate with associates at all levels.

Designs and leads enterprise-scale data platforms, pipelines, lakehouse, warehouse, and streaming solutions. Defines data modeling, governance, security, and architecture standards while optimizing performance, scalability, reliability, and cost. Collaborates with engineering, analytics, machine learning, and business teams, mentors engineers, and establishes data platform best practices. Requires extensive experience with Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, cloud platforms, and modern data architectures.