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

The Capital Markets Analytics Lead at Wisetack will analyze capital relationships and refine loan portfolio analytics, directly impacting finance decisions and strategies. This role includes progressing discussions with capital providers to term sheets and maintaining partnerships, contributing to the team's growth in asset finance analytics and corporate finance.

The Senior Data Analyst/Steward will lead data governance efforts, manage critical data projects, maintain data documentation, and ensure data quality while creating impactful reports and dashboards. This role emphasizes collaboration across departments to align data processes with business needs.

The Senior Manager of GTM Planning & Analytics leads revenue forecasting, territory optimization, and strategic planning. They develop revenue models, align targets with market conditions, ensure data quality, and create actionable dashboards. This role involves coaching and managing a team while collaborating cross-functionally to drive growth through data-driven decision-making.

As a Staff Data Scientist, you will develop statistical and machine learning models to enhance the operations platform. Responsibilities include leveraging data to solve problems, collaborating across teams, implementing predictive models, and mentoring teammates. Excellent communication and technical skills are essential, along with a strong background in Python and statistical software.

The Senior Product Analyst will develop and implement data enrichment features to enhance software products, working with billions of records to ensure data accuracy and relevancy. They will translate user feedback into functional specifications, set acceptance criteria for quality assurance, and guide rigorous data models to exceed customer expectations and drive insights.

The AI Data Leader will develop and implement an AI and data strategy, oversee innovation in AI technologies, collaborate with teams to implement solutions, build a high-performing team, drive data management and governance, supervise AI development, and ensure compliance with regulations.

The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.