Top Senior Data & Analytics Jobs in Nashville, TN

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Build and maintain scalable GTM data pipelines, marts, semantic models, and dashboards supporting headcount planning, quota attainment, pipeline, and sales effectiveness. Partner with GTM analysts and stakeholders to establish reliable metrics, enable data tools, document systems, and develop AI-powered natural-language data querying capabilities. Translate complex data concepts for executives and engineers while ensuring high-quality, maintainable data products.

Lead BI, reporting, and data governance for insurance BPS. Manage call center/business managers, build enterprise Power BI solutions, ensure data integrity, drive KPIs, partner with Ops/IT/Finance, and deliver reporting modernization and audit‑ready governance.

Leads complex data analysis, business intelligence, reporting, visualization, data modeling, and research initiatives. Translates user needs into technical requirements, collaborates on ETL/ELT pipelines and data quality, develops actionable data stories, documents data assets, and advises senior stakeholders. The role also supports data governance, security, strategic planning, project execution, and team development across university departments.

Leads the digital construction platform strategy for a major infrastructure project. Manages a team responsible for Procore administration, analytics, dashboards, and process automation. Translates departmental processes into standardized digital workflows, configures Procore, integrates project systems, builds Power BI reporting, and automates processes with Power Automate. Provides platform governance, user training, troubleshooting, documentation, and ongoing support while coordinating data management and adoption across project departments.

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

Develop and optimize data pipelines, ingestion and transformation jobs, and incremental datasets on modern data platforms. Design scalable, governed data solutions, automate application and data flows, apply DevOps principles, troubleshoot issues, document processes, and provide operational support. Collaborate with data platform, governance, science, and analytics teams while mentoring junior professionals and recommending improved architectures.

Leads the Reporting & Analytics team while establishing and operating the company’s data governance practice. Responsibilities include enterprise KPI and Tableau reporting, data ownership and stewardship, metric definitions, semantic-layer governance, business glossaries, lineage, data quality monitoring, policies, stakeholder intake, and team development. Partners with business, technology, Legal, and Information Security to improve trust, consistency, and usability of organizational data.

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 CRM, business intelligence, analytics, and data strategy initiatives for a professional sports club. Oversees CRM administration, data quality, reporting, audience segmentation, lead scoring, campaign analytics, and executive dashboards. Uses SQL, Python, Tableau, AI tools, and integrated data systems to drive revenue, fan engagement, customer retention, and operational efficiency. Partners cross-functionally with Marketing, Ticket Sales, Finance, Partnerships, and IT while mentoring team members and ensuring responsible data governance.