Top Analysis Reporting Jobs in Nashville, TN

Manage technology projects and business analysis solutions, translating business requirements, evaluating technologies, and implementing strategies for actuarial and finance teams. Oversee data management, analytics, UAT, and stakeholder relations while fostering continuous improvement and training.

The role involves designing reports and dashboards for HR metrics using Power BI. It requires analyzing HR data, ensuring data quality, and collaborating with stakeholders. The position also includes supporting junior team members and maintaining data platforms.

The Data Analyst will analyze healthcare data, create summaries for stakeholders, manage projects, and collaborate with various teams to improve processes.

Lead North America marketing analytics product portfolio, evolve MMM to causal and AI-native methods, prioritize roadmap and epics, oversee data engineers and scientists, drive adoption and value measurement for marketing effectiveness.

Partner with business leaders to translate questions into actionable insights by designing, building, and automating reports and dashboards. Own analytics end-to-end, ensure data quality, collaborate with data engineering, and drive adoption of scalable self-service analytics.

Lead advanced analytics for work management systems, build dashboards and models, perform root-cause and data quality analysis, translate business requirements into scalable solutions, collaborate with IT and stakeholders, mentor analysts, and contribute to data governance and analytics modernization.

Partner with marketing and analytics teams to analyze campaign and funnel performance, deliver AI-driven insights, build real-time Power BI dashboards, ensure data quality and governance, and provide actionable recommendations to drive revenue and optimization.

Manage onboarding of research datasets, collaborate with market data teams, write specifications, and ensure data quality and accessibility.

Lead design and governance of enterprise data architectures and roadmaps, integrating SAP and non‑SAP platforms. Define data models, integration patterns, metadata and lifecycle standards, support delivery teams, ensure architectural consistency, and drive platform modernization for analytics and AI outcomes.

Lead data engineering work across migrations, pipelines, integrations, and APIs. Design, build, deploy, test, monitor, and support production data solutions while ensuring data quality, validation, and adherence to architectural standards in an agile continuous-delivery environment.