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Education Analytics Jobs (NOW HIRING)

Parkview Health

Epic Education Analyst

Logansport, IN · On-site

Methods of education include, but are not limited to, educator-led classroom courses, webinars ... Demonstrated knowledge of EHR and data analytics preferred. Proven ability to perform multiple ...

Parkview Health

Epic Education Analyst

Bryan, OH · On-site

Methods of education include, but are not limited to, educator-led classroom courses, webinars ... Demonstrated knowledge of EHR and data analytics preferred. Proven ability to perform multiple ...

Parkview Health

Epic Education Analyst

Logansport, IN · On-site

Methods of education include, but are not limited to, educator-led classroom courses, webinars ... Demonstrated knowledge of EHR and data analytics preferred. Proven ability to perform multiple ...

Parkview Health

Epic Education Analyst

Fort Wayne, IN · On-site

Methods of education include, but are not limited to, educator-led classroom courses, webinars ... Demonstrated knowledge of EHR and data analytics preferred. Proven ability to perform multiple ...

Parkview Health

Epic Education Analyst

Bryan, OH · On-site

Methods of education include, but are not limited to, educator-led classroom courses, webinars ... Demonstrated knowledge of EHR and data analytics preferred. Proven ability to perform multiple ...

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Education Analytics information

What is the difference between Education Analytics vs Data Analyst?

AspectEducation AnalyticsData Analyst
Required CredentialsBachelor's degree in Education, Data Science, or related field; often certifications in data analysis toolsBachelor's degree in Data Science, Statistics, or related field; certifications in data analysis or visualization tools
Work EnvironmentEducational institutions, government agencies, edtech companiesVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsagePrimarily in education sector to improve learning outcomes and policiesAcross multiple sectors to interpret data and support decision-making

Education Analytics focuses on analyzing educational data to improve learning outcomes and policies within educational settings. In contrast, Data Analysts work across various industries to interpret data, support business decisions, and optimize processes. While both roles require strong analytical skills and similar certifications, their work environments and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as an Education Analytics professional, and why are they important?

To thrive in Education Analytics, you need strong analytical skills, a solid background in statistics or data science, and typically a relevant degree such as in education, mathematics, or data analytics. Familiarity with statistical software (like SPSS, R, or Python), data visualization tools (such as Tableau or Power BI), and experience with educational data systems are highly valued. Excellent problem-solving abilities, communication skills, and attention to detail help professionals turn complex data into actionable insights for educators and administrators. These skills are essential to effectively interpret educational data, drive data-informed decisions, and support improvements in teaching and learning outcomes.

What are some common challenges faced by professionals working in education analytics, and how can they be addressed?

Professionals in education analytics often encounter challenges such as accessing high-quality, comprehensive data and ensuring its privacy and security. Additionally, translating complex data insights into actionable strategies for educators and administrators can be demanding. Building strong communication skills and collaborating closely with stakeholders, such as teachers and school leaders, is essential for making data-driven recommendations that are practical and impactful. Staying updated on evolving data regulations and continuously improving technical skills also helps address these challenges effectively.

What is education analytics?

Education analytics refers to the use of data analysis, statistical methods, and technology to evaluate and improve educational processes and outcomes. Professionals in this field collect and analyze data from various sources, such as student performance, attendance, and engagement, to identify trends and support decision-making. Education analytics can help schools and policymakers tailor instruction, allocate resources more effectively, and implement interventions that boost student achievement.
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Education Analytics jobs near you
Infographic showing various Education Analytics job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 27% Full Time, 54% Part Time, 3% Temporary, and 13% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Data Engineer Consultant

Data Engineer Consultant

Infinite Resource Solutions

Orlando, FL

Other

Posted 28 days ago

Job description

Job Description About the job Client's Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear a lot of hats, and this person will need to leverage their breadth of experience within data analysis and engineering. This role will split time between our core product development and consulting projects, where we develop custom data solutions for both K-12 and higher-ed institutions.

You Will -Source complex data, manage and prepare for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, graduation & school-grade predictors -Be comfortable across the data lifecycle and be able to jump into tasks related to front end prototyping and dashboard development as needed -Contribute to data architecture and strategy for our core education analytics product development. -Build for the scalability of a turnkey solution. -Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management.

-Work with cross-functional client stakeholders to gather, analyze, and understand the user requirements -Act as a liaison to the client stakeholders for the models, analysis or reports created; understand the impact of specific drivers and provide insights. -Continually refine models and/or reports and analyze results. -Utilize a core management consulting skill set including business analysis, project management, and process analysis.

-Work with managing director(s) to successfully deliver to clients -Oversee and direct the work of 2-3 junior team members assisting with troubleshooting of data problems and client requests You Have -2-3 years of data engineering experience, preferably with consulting experience OR in an education institution -Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization -Experience with large enterprise level data environments and working with 1B+ record data sets -Skills with the Azure Tech Stack, including: Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning -Reporting & Dashboard development experience with PowerBI SSRS Reports Migration to Paginated Reports -Understanding of management consulting functional skills including: business analysis, process improvement, solutions architecture, and project management Extras we are looking for -Experience in Education Analytics, either in a research or professional role -Excellent written and verbal communication skills -Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) -Bachelor's degree in a quantitative major; Graduate degree in data & analytics field preferred

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