Top Remote Senior Level Data & Analytics Jobs in Wilmington, NC

The Senior Information Security Analyst will facilitate examinations for security frameworks, collaborate with risk and compliance teams, conduct technical risk assessments, and improve processes. Responsibilities also include managing vendor risks, conducting audits, and enhancing security awareness. Strong communication and analytical skills are essential for advising stakeholders on risk mitigation strategies.

The role involves building and maintaining a secure cloud-hosted laboratory for data science teams at the US Department of Treasury. Responsibilities include developing data pipelines, implementing tools like Databricks, managing AWS services, and ensuring compliance with data security and AI principles.

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.

The Principal Security Analyst will maintain the Information Security Program at WelbeHealth, focusing on Azure Cloud Infrastructure and DevOps. Responsibilities include monitoring the Azure environment for risks, leading security assessments, implementing security controls, and collaborating with teams on security policies and procedures.

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 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.