Kennesaw State University-posted about 2 months ago
Full-time • Mid Level
Kennesaw, GA
1,001-5,000 employees
Educational Services

Aggregates and performs statistical analysis on data based on requests from Cabinet or division leadership. Interprets data to identify trends, conduct root cause analysis or suggest areas of improvement. Design, develop and maintain analytical tools, reports and dashboards. Supports the overall Division level strategic plan and data related initiatives.

  • Supports division and underlying offices by providing accurate data to support decision making and functional activities including generating recurring or ad hoc reports
  • Maintains analytical tools, reporting and dashboards, including but not limited to maintenance of data to support analytics needs and ensuring accuracy and consistency of key data sets, reports and metrics
  • Completes monthly, quarterly and ad-hoc reporting and data analysis
  • Responds to data requests from division and underlying offices
  • Develops queries and/or gathers data from various sources; in addition, may interpret the data to provide value added analysis
  • Conducts data analysis and discovery to identify trends and correlations to uncover insights
  • Recommends information that should be analyzed based on key indicators, works to determine root cause, and/or identify areas of concern
  • Audits data, validates calculations and troubleshoots irregularities; supports data governance process
  • Utilizes predictive analytics to identify trends and provide counsel to departments
  • Produces and delivers standard and customized reports, dashboards and ad-hoc requests based on business need
  • Assists with continual process improvements by researching methods to continue to automate and streamline processes
  • Responsible for addressing a high volume of system-related activities in a timely fashion while consistently maintaining a high level of quality and customer satisfaction
  • Uses available tools and resource materials to provide information and resolve issues and requests
  • Collaborates with a variety of stakeholders across campus, including working closely with the Office of University Data Strategy to maintain alignment with overall university data strategy
  • Bachelor's degree from an accredited institution of higher education in Statistics, Business Analytics, Finance, Business or an equivalent combination of relevant education and/or experience.
  • Five (5) years of experience in data analysis.
  • Strategic and analytical thinking skills with an ability to solve problems and make effective decisions.
  • Able to handle multiple tasks or projects at one time meeting assigned deadlines
  • Able to manage confidential data professionally
  • Experience with statistical modeling and descriptive statistics
  • Reporting and data analytics experience
  • Requires knowledge of and practical application of testing methodologies and experience
  • Understanding of inter-dependencies between various systems and downstream impact design, development, and testing
  • Strong attention to detail, analytical acumen, intellectual curiosity, creativity, a proven work ethic and self-directed
  • Strong analytical, process mapping, and procedural documentation skills
  • Strong problem-solving skills (critical, strategic, and evaluative thinking)
  • Excellent interpersonal, initiative, teamwork, problem solving, independent judgment, organization, communication (verbal and written), time management, project management and presentation skills
  • Self-starter
  • Proficient with querying data, data interpretation and report generation
  • Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite with an emphasis on Excel)
  • Strong attention to detail and follow up skills
  • Strong customer service skills and phone and email etiquette
  • An advanced degree from an accredited institution of higher education in a related field
  • Prior experience in data management and/or business intelligence software such as Power BI.
  • Experience in maintaining and creating documentation and effectively explaining requirements
  • Previous experience in an academic setting
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