Top Remote Analysis Reporting Jobs in Raleigh, NC

The Enterprise Data Architect will design and lead AmeriLife's data architecture, creating scalable data models and data mapping standards for analytics and AI workloads.

The Senior Taxonomist classifies transactions, manages taxonomy updates, mentors teams, and collaborates on projects in the Data & Marketing Solutions group.

The Analyst will support merchant partners by creating models and reporting, translating data insights for strategic decisions and sales retention.

Lead data transformation initiatives and establish data architecture frameworks, overseeing the design, implementation, and maintenance of the enterprise data ecosystem while providing technical leadership and direction.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

The Business Systems Analyst III will bridge the gap between business and technology stakeholders, manage Agile processes, create user stories, and perform complex data analysis to support product development in the financial services sector.

The Senior Business Analyst collaborates with teams to transform data into actionable insights, leads projects, educates users, and recommends improvements across business processes using data analysis.

The Analytics Manager, GTM at Docker will develop and manage dashboards for the Sales team, leveraging SQL and data to drive pipeline generation through actionable insights, while ensuring data accuracy and usability.

As an Analyst in the Insights and Analytics team, you will analyze data to boost audience understanding, enhance revenue strategies, and support sales initiatives through actionable insights.

The Senior Product & Growth Analyst will lead the analytics behind Trust & Will's growth, focusing on conversion, retention, and lifetime value analysis. Responsibilities include building predictive models, conducting experimentation, and delivering data-driven recommendations to stakeholders. The role involves collaborating across product, marketing, and growth teams, with a strong emphasis on user behavior and funnel analysis.