Top Data & Analytics Jobs

Designs and develops enterprise data engineering solutions, pipelines, integrations, and resilient software platforms. Leads architecture, technology strategy, DevOps, incident resolution, vendor evaluation, engineering standards, and cross-team collaboration. Provides technical leadership and mentorship while working with big data, cloud, streaming, data warehousing, CI/CD, infrastructure as code, and modern data stack technologies.

Build, maintain, and improve data integrations that extract, transform, and load retailer data into standardized schemas. Collaborate with engineering, Product, and Client Solutions teams to expand the data platform, improve reliability, monitor outages, and develop new integration capabilities. Work with data pipelines, cloud infrastructure, supply chain concepts, APIs, web scraping, browser automation, and EDI.

Leads enterprise business intelligence and analytics strategy, including BI team development, executive dashboards, KPI frameworks, data governance, master data management, forecasting, and predictive analytics. Partners with executives and cross-functional leaders to drive revenue, profitability, customer engagement, product innovation, and operational performance through actionable insights and improved reporting infrastructure.

Leads the enterprise business intelligence and analytics strategy, including BI team development, executive dashboards, KPI frameworks, data governance, master data management, forecasting, predictive analytics, and AI-driven automation. Advises executive leadership and partners cross-functionally to improve revenue, profitability, customer retention, product adoption, and operational performance. Establishes reporting standards, data architecture roadmaps, and scalable self-service analytics capabilities.

Leads enterprise data, applied technology, and AI strategy for The Nature Conservancy. Establishes federated data ownership, business-led data governance, responsible AI standards, use-case prioritization, adoption, and value realization. Advises executive leadership, builds a global team and data culture, manages budgets and vendors, and represents the organization externally on conservation data and responsible AI. The role partners with CIO-led technical teams to translate organizational priorities into measurable conservation and business outcomes.

Develop reporting, analytics, metrics, and dashboards to optimize autonomous-vehicle data collection and software development processes. Partner with data scientists, software leaders, and cross-functional stakeholders to prioritize data sourcing, build scalable data pipelines, monitor operational processes, and communicate insights. The role uses on-road and simulation data to support Aurora Driver development and commercialization.

Lead data engineering initiatives that build scalable warehouses, pipelines, ETL/ELT processes, dashboards, and automated reporting workflows. Translate finance and operational needs into reliable data solutions, implement governance and quality practices, and support integrations, migrations, acquisitions, and system enhancements across portfolio companies. Partner directly with finance, accounting, analytics, and operational stakeholders to improve decision-making.

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.

Quality Intern supporting reporting automation, data visualization, operational excellence, continuous improvement, and digital transformation initiatives. The role develops scalable dashboards and analytics solutions to improve visibility into business metrics and convert operational data into actionable insights. The intern will complete a meaningful project, present findings to leadership, and participate in professional development, mentoring, and networking activities.

Manage MSSQL and PostgreSQL databases, including installation, configuration, monitoring, performance tuning, security, backup and recovery. Develop optimized SQL queries, stored procedures, triggers, and views. Use AWS services for database deployment and scaling, Git/GitHub for version control, and collaborate with developers and system administrators. Support data warehouse design, ETL processes, reporting requirements, and database troubleshooting.