Top Data & Analytics Jobs in Nashville, TN

The Associate Enterprise Data Specialist will support data operations by cleansing and monitoring master data integrity in ERP systems. Responsibilities include researching data, communicating with stakeholders, performing audits, and ensuring that data meets business needs.

The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.

The Principal Security Analyst oversees the Information Security Program at WelbeHealth, focusing on Azure Cloud Infrastructure and DevOps. Responsibilities include security assessments, implementing security controls, and collaborating with engineering teams to address detected risks and ensure compliance with regulations.

The Lead Data Visualization Developer is responsible for designing and creating dashboards and reports based on client needs, utilizing SQL for data exploration and collaborating with stakeholders for effective data visualization solutions. This role focuses on supporting self-service analytics environments rather than advanced data science techniques.

The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.

As a Senior Product Analyst, you'll lead product analytics initiatives, transforming raw data into actionable insights to guide product development and user engagement. Collaborating with cross-functional teams, you'll analyze user behavior, develop metrics and dashboards, and deliver data-driven recommendations to enhance product strategy.

As a Lead Data Scientist, you will focus on improving the Fingerprint Pro Identification Service by applying advanced data science and machine learning techniques. You will lead technical strategies, mentor engineers, and oversee data science projects from concept to deployment, integrating with the identification platform and enhancing the team’s technical expertise.