Data Analyst

2 days ago


Round Lake, Illinois, United States Round Lake Area Schools District 116 Full time
Job Summary:
Round Lake Area Schools District 116 is seeking a skilled Data Specialist to support district staff with various levels and types of data. As a key member of the team, you will play a crucial role in understanding trends, patterns, and making predictions for decision-making at all levels. Using research-based and industry best practices, you must understand how to make sense of information from multiple sources, compile, analyze, and synthesize data, and prepare reports/presentations to various stakeholder groups that are user-friendly and visually engaging.

The ideal candidate will have a degree in mathematics, statistics, information systems, or a research-related field, or equivalent work experience. Additionally, PEL or teaching or school administrative experience in a K-12 environment is preferred. You will also need to possess knowledge of current educational best practice and research.

This position offers an estimated salary of $60,000 - $80,000 per year, based on location and experience. If you are passionate about working with data and driving student success, we encourage you to apply.

Key Responsibilities:
  • Collaborate with schools and district staff to identify opportunities for process and system improvements.
  • Prepare reports for school and district administration that effectively communicate trends, patterns, and predictions using relevant data.
  • Interpret and review assessment data with administrators and School Improvement Teams and provide support in the planning of action steps.
  • Support evaluation for continuous improvement by reviewing data to report out on programming/initiative progress.

Requirements:
  • Proficient in the use of Microsoft Office Suite.
  • Ability to effectively analyze data, present information, and respond to questions.
  • Ability to define problems, collect data, establish facts, and draw valid conclusions.
  • Ability to write reports and generate visualizations of relevant data.

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