Top Data & Analytics Jobs in Charlotte, NC

As a Senior Data Analyst at Circle, you'll translate business needs to develop analytics solutions, perform strategic analyses, create visualizations, and communicate insights to support decision-making.

As a Senior Data Analyst, you will collaborate with business partners, conduct analyses, create data visualizations, and support data-driven decision-making to drive business improvements at Circle.

The Senior Data Analyst will work closely with business partners to develop insights through data analysis, create visualizations, and support decision-making. Responsibilities include building dashboards, conducting strategic analyses, and communicating findings effectively.

As a Senior Data Analyst, you'll work with partners to enhance decision-making with data, create dashboards, perform analyses, and derive business insights using SQL and visualization tools.

As a Senior Data Analyst at Circle, you will partner with business, conduct analyses, create visualizations, and develop scalable automation solutions to drive business insights.

As a Senior Data Analyst, you will analyze data to inform business decisions, create visualizations, and automate processes while collaborating across departments.

As a Senior Data Analyst, you will translate business needs into data-driven insights, perform strategic analyses, and create visualizations and dashboards using SQL and BI tools.

As a Data Engineer, you will manage the data warehouse and ELT pipelines for blockchain analytics, ensuring data accuracy and quality for product development and business growth.

As a Data Engineer, you'll manage data warehousing and pipelines for blockchain analytics, ensuring data accuracy and supporting business functions. You'll collaborate with teams to improve operations and leverage AI for efficiency.

As a Data Engineer at Circle, you'll manage data pipelines for blockchain analytics, ensuring data accuracy and quality to support business functions. Responsibilities include building ELT pipelines, designing data models, and improving warehouse operations.