Job Description

Job Description:

• Extracts data from the company’s Learning Management Systems using SQL, R, and/or other data analytical tools
• Cleans, compiles, and analyzes customer data and draw appropriate conclusions
• Consults with customers regarding needs for data; work with database engineers to design query for pulling appropriate data, automate tedious tasks, and analyze and summarize data for customer explanation
• Develops data dictionaries and memos that define reportable metrics across the company’s Learning Management Systems
• Plans, coordinates, and performs statistical analyses for basic work assignments and parts of complex work assignments
• Writes reports and technical memoranda that are clear, concise, and of varying length
• Assists with testing of automated reports and analysis tools.
• Supports internal staff use of automated reporting and analysis tools, including providing training, answering questions, and assisting staff with use.
• Other duties as required

Job Qualification:

• Bachelor’s degree in a quantitative field such as applied mathematics, computer science, education evaluation, psychology or statistics, and at least three years’ experience working with Excel, SQL databases, and/or R or other data analytical tools; or an acceptable combination of education and experience
• Advanced data cleaning skills and ability to provide error-free reports
• Ability to create pivot tables using Excel and strong experience running descriptive and inferential statistics using R. Exceptional quantitative, analytical, listening, and writing skills
• Ability to understand the strengths, weaknesses, and limitations of a data set
• Detail-oriented, self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes
• Pro-activity and flexibility in identifying problems and creating solutions
• Ability to work collaboratively with colleagues and staff to create a high-quality results-driven, team-oriented environment
• Advanced skills in R, SQL, Excel, Word, PowerPoint, and Outlook
• Willingness and ability to work flexible hours