Instructional Data Analyst

Are you ready to join a mission driven company focused on creating educational opportunities for public school students across the country?

Are you interested in playing a role in shaping the future of education using your proficiency in data analysis?

Are you self-motivated with a desire to grow in your career? If so, read on.

Ed Inquiry is a virtual education research firm focused on transforming the educational experience of students and instructors across the country. We are a mission driven organization and seek others that share the goal of expanding access to a quality education for ALL students.

We are seeking a skilled and motivated Instructional Data Analyst to join our team. The ideal candidate will have an understanding of the data collected in public education, a depth of knowledge in analytical platforms, and a strong background in data analysis. The Data Analyst will play a crucial role in collecting, processing, and analyzing instructional data to support different processes in our programs operations.

If you would enjoy working in a mission driven environment; thrive in an inclusive national virtual community of educators focused on engaging and inspiring students then this may be the opportunity for you. We strongly encourage highly qualified applicants of color to apply.

Essential Duties and Responsibilities

Data Collection and Preparation:

• Gather, clean, and organize large datasets from various sources, ensuring data accuracy and reliability.
• Collaborate with internal teams to define data requirements and specifications for research projects.

Data Analysis:

• Conduct statistical analysis using different analytical tools to derive meaningful insights and patterns from complex datasets.
• Perform exploratory data analysis to identify trends, correlations, and anomalies relevant to education research.

Report Generation:

• Generate clear and concise reports presenting findings, trends, and statistical summaries to support research publications and client deliverables.
• Create visualizations and charts to effectively communicate complex data insights to both technical and non-technical audiences.

Collaboration:

• Work closely with cross-functional teams to ensure alignment with project goals and objectives.
• Participate in collaborative discussions to contribute analytical expertise to ongoing and upcoming research initiatives.

Quality Assurance:

• Implement quality control processes to validate the accuracy and reliability of analytical results.
• Review and validate data outputs to ensure consistency with research objectives.