Top Senior Level Analytics Jobs in Wilmington, NC

The Senior People Analyst will leverage data to provide insights into workforce dynamics, drive HR strategies, and develop analytics tools that facilitate organizational effectiveness. The role includes collaborating with HR to create dashboards and reports, ensuring data integrity, and using visualization tools to communicate insights.

The Senior Analyst, Pricing & Product role involves conducting competitive and market pricing analysis for commercial lines, establishing metrics for a new product line, and monitoring pricing competitiveness over time. This position requires data manipulation and the use of analytical tools to support product profitability and sales growth.

The Data Center Selection Manager will enhance the quality and cost of colocation sites while managing vendor relations and executing contracts. Responsibilities include defining vendor strategy, conducting negotiations, working cross-functionally, and managing multiple projects effectively.

The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.

As a Senior Data Analyst at Cohere Health, you will validate and clean data for reporting and analytics, collaborate with various teams, enhance data quality checks, oversee ETL processes, and ensure data integrity. This role requires strong analytical skills and experience in healthcare analytics.

As a Senior Analytics Engineer, you will design, build, and maintain data models, collaborate with various teams on data transformations and governance, and ensure high-quality data products. Your role will focus on leveraging tools like dbt and Snowflake to drive innovation and informed decision-making across the organization.

The Data Modeler will collaborate with technology and product teams to design and maintain data models for the enterprise data warehouse. Responsibilities include leading design discussions, managing data quality, guiding product teams in data model creation, and ensuring adherence to standards while facilitating stakeholder discussions.