Data Analyst Salary in Charlotte, North Carolina

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Average Salary for Data Analyst in Charlotte, North Carolina

The average salary of a(n) Data Analyst in Charlotte, North Carolina is $85,115.

The average hourly rate of a(n) Data Analyst in Charlotte, North Carolina is $40.92.

The average bonus of a(n) Data Analyst in Charlotte, North Carolina is $3,464.00.

Job Description:

Assesses complex data systems and programs in support of ad-hoc and standing management or customer requests. Creates programs, methodologies, and files for analyzing and presenting data. Examines data quality, applications, and functions. Produces output and sustains operation. Researches new data sources and analytical tools. Contributes to new product development and improvement in product delivery and presentation. Develops awareness of and familiarity with issues and events affecting organization, department, and/or customer. Uses and supports database applications and analytical tools. Uses timely and appropriate participation of users/customers in data collection and query systems. Provides accurate and appropriate interpretation of data, applying knowledge to evaluation, analysis, and interpretation of data. Develops appropriate methodologies for collecting, analyzing, and presenting data products. Develops useful and insightful information from a variety of data sources. Works with management and/or customers to develop and understand product specifications. Communicates regularly and effectively with team members and management, and communicates results effectively to management and/or customers. Delivers data products in report/presentation format, or verbally, to management and/or customer specifications and timelines. Points out system or process problems when noticed and engages the team in problem solving. Facilitates satisfactory communication and resolution of problems. Less

Assesses complex data systems and programs in support of ad-hoc and standing management or customer requests. Creates programs, methodologies, and files for analyzing and presenting data. Examines data quality, applications, and functions. Produces output and sustains operation. Researches new data... More

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