Top Senior Level Data & Analytics Jobs in Wilmington, NC

The Senior Revenue Operations Analyst will support revenue teams by reporting metrics, developing forecasts and models, collaborating on territory planning, and refining client health scoring methodologies. This role emphasizes analytical skills and cross-functional collaboration to drive data-driven decision making.

You will lead the Enterprise Data Platform Ingestion team, managing ETL/ELT pipelines on the Databricks platform, providing strategic guidance, and ensuring adherence to security and compliance guidelines during data ingestion. Your role includes overseeing a team of data engineers and maintaining the ingestion tools and processes.

The MySQL DBA is responsible for the performance, integrity, and security of MySQL databases, including installation, configuration, performance monitoring, and troubleshooting. Other duties involve ensuring database security, conducting regular backups, collaborating with developers, and providing support for critical systems.

The Lead Data Visualization Developer is responsible for creating reports and dashboards using tools like Tableau and PowerBI, interacting with clients to understand their needs, and ensuring the accuracy and quality of data visualizations. This role involves developing prototypes, conducting user training, and creating documentation for BI deliverables.

The Data Architect at Sunnova is responsible for developing data solutions, integrating data from various sources such as Salesforce into Snowflake, and managing data quality and governance. The role involves creating data pipelines, utilizing AWS infrastructure, collaborating with cross-functional teams, and optimizing data performance and security.

The Senior Product Analyst will lead product analytics at Muck Rack, transforming raw data into insights that guide product development and user engagement. Responsibilities include developing metrics and dashboards, analyzing user behavior with various tools, and collaborating with teams to drive data-informed decisions. The role requires strong analytical skills and the ability to communicate findings effectively.

The Lead Data Scientist will enhance the Fingerprint Pro Identification Service using advanced data science and machine learning techniques in real-time settings. Responsibilities include developing algorithms, leading projects, mentoring team members, conducting exploratory analyses, and fostering a data-driven culture within the engineering team.