Top Remote Analysis Reporting Jobs in Nashville, TN

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Manages data engineering teams and leads architecture, design, and delivery across the data lifecycle. Builds scalable data infrastructure, pipelines, warehouses, and ETL processes using cloud and big-data technologies. Responsibilities include data modeling, system optimization, automation, analytics, predictive modeling support, and collaboration with business intelligence and data warehouse teams. The role also evaluates business needs, interprets trends, develops prototypes, and communicates analytical results to stakeholders.

Build, maintain, and optimize cloud data pipelines using SQL, Python, Snowflake, BigQuery, and dbt. Integrate data from APIs, databases, cloud storage, marketing platforms, and third-party sources. Implement data quality checks, monitoring, troubleshooting, automation, and performance improvements. Collaborate with architects, analytics teams, and stakeholders to deliver reliable, reusable, analytics-ready datasets.

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.

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.

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.

Analyzes complex healthcare and revenue cycle data to identify trends, measure operational and financial performance, and provide actionable recommendations. Develops reports, dashboards, analytical models, and structured datasets using SQL, Databricks, and BI tools. Partners with cross-functional teams to define requirements, validate data, communicate insights, and support continuous improvement initiatives.

Summer 2027 data analytics internship supporting advertising and marketing campaign analysis, dashboard construction, data visualization, and report development for client teams. The role is full-time, in-person at the company’s downtown Nashville office, from May 24 through July 30, 2027.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.