FT Data Analyst (Not remote!)
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![]() United States, North Carolina, Charlotte | ||||||||||||
![]() 8919 Park Road (Show on map) | ||||||||||||
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Job Details
Description
LOOKING FOR A FULL-TIME, ON-SITE DATA ANALYST TO JOIN OUR COMMUNITY! This is an on-site opportunity. We do not sponsor applicants. About Southminster: Located in South Charlotte, Southminster is a not-for-profit community serving seniors by fostering opportunities for meaningful living, well-being, privacy & peace of mind for all. Position Overview: The Data Analyst systematically collects, processes, and performs statistical analyses on data sets. Analyzes and interprets data from various sources. Forecasts trends using regression and other methods of statistical modeling. Works closely with departments to understand data and provide relevant, informative insights. Presents technical reports and findings to the executive group. Uses knowledge of scripting and programming languages to clean, process, and analyze large data sets. What You'll Do:
Requirements:
Preferred Skills:
Our Full-Time Benefits Include:
Qualifications
Education required: Bachelor's degree in Business, Economics, Statistics, Computer Science, Data Science, or a related quantitative field. Experience required: 0-2 years of related experience in data analytics, preferably within a healthcare or senior living setting. Professional license or certification requirements: N/A Specific skills, knowledge and abilities required: Proficiency in BI analytics/reporting tools, such as Power BI or Tableau, and familiarity with Microsoft Office Suite. Experience in data cleansing, data mining, data quality, and data visualization. Must be skilled in gathering information and linear programming. Must be familiar with regression analysis, statistical analysis, statistical reporting and trend analysis. The ideal candidate must be self-motivated and proactive in developing solutions. Must be willing to take on other responsibilities as required. Ability to read, speak and write in English. Experience with scripting and querying tools such as SQL, Python, or R. |