DATA ANALYST

  • Full Time
  • Fl
  • Salary Guide: $25,000 - $40,000

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PRIMARY CARE PHYS-GAINESVILLE

The Data Analyst must communicate highly complex data trends to organizational leaders in a way that's easy to understand. The position requires colla... Role: Data Analyst, Category: IT & Telecoms, Size: 1000 to 4999

DATA ANALYST: PRIMARY CARE PHYS-GAINESVILLE

The Data Analyst must communicate highly complex data trends to organizational leaders in a way that’s easy to understand. The position requires collaborating with the existing BI/Analytics teams, Software and Database developers to manage a centralized repository and platform to be used by all data consumers in the organization. The Data Analyst must demonstrate advanced knowledge of SQL, and Business Intelligence/Analytics tools. The position requires the ability to develop code for use in the automation of reporting and data analysis. This position reports to Data Analytics Manager.

Position: Data Analyst
Location: Fl
Hours: Full Time
Salary Guide: $25,000 – $40,000
Last Updated: 20 June 2022
Job Category: IT & Telecoms

Data Analyst Role:

A Data Analyst, or a Digital Data Analyst, collects and analyses data to identify trends and provide clients or management with valuable information that they can use to improve marketing, operational and businesses practices. Main duties include identifying, gathering, analysing data and making their insights accessible to the company through easy-to-understand graphs, charts, tables and reports.

Other Duties:

  • Using data mining to extract information from data sets and identify correlations and patternsĀ 
  • Organising and transforming information into comprehensible structures
  • Using data to predict trends in the customer base and the consumer population as a whole
  • Performing statistical analysis of data
  • Using tools and techniques to visualise data in easy-to-understand formats, such as diagrams and graphs
  • Preparing reports and presenting these to management or clients
  • Identifying and recommending new ways to save money by streamlining business processes
  • Monitoring data quality and removing corrupt data
  • Communicating with stakeholders to understand data content and business requirements



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