Top Entry Level Analysis Reporting Jobs in Nashville, TN

Analyzes business data to identify trends, anomalies, and opportunities; fulfills reporting requests; maintains and builds Tableau dashboards; writes SQL queries; uses Excel and AI tools for analysis; validates data quality; and communicates actionable insights to stakeholders. The role also documents reporting processes, manages competing priorities, and partners with teams to translate business questions into dashboards and analyses.

Build and deploy governed data warehouse, business intelligence, and scalable data products. Responsibilities include data acquisition, cleansing, validation, reconciliation, lineage, modeling, ETL/ELT pipelines, documentation, and data governance. Collaborate with product, application development, BI, security, architecture, and business teams to integrate source systems and support AI agents, automation, dashboards, reporting, and decision support. The role also contributes to technology decisions and converts fragmented workflows into scalable data solutions.

Designs and evolves enterprise Azure Databricks lakehouse architecture, data models, ingestion and transformation pipelines, governance, security, quality controls, and PostgreSQL stores. Integrates enterprise data sources and develops governed datasets for analytics, AI agents, and RAG workflows. Establishes standards, monitors performance and costs, supports deployment and recovery, and provides technical leadership, design reviews, documentation, and mentorship across technology and business teams.

Designs and optimizes SQL and dbt transformation pipelines, scalable data models, semantic layers, and reusable business metrics. The role uses dimensional modeling, Data Vault 2.0, and Anchor Modeling across Snowflake, Databricks, and Azure. It partners with stakeholders to establish consistent, high-quality single-source-of-truth data, supports BI and future machine learning use cases, and follows Git-based development, testing, cataloging, lineage, and code-review practices.

Assesses financial risks and potential losses from natural and man-made catastrophes using statistical models, historical data, and predictive analytics. The role evaluates datasets, develops catastrophe models, prepares risk reports, supports insurance pricing and portfolio management, monitors climate and regulatory developments, improves risk technology, and contributes to mitigation and emergency response planning.