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Data Analyst In Education Jobs in Maine (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

Education & Experience * Master's degree (required) or Ph.D. (optional) in Computer Science ... Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn)

Northeastern University

Data Scientist

Portland, ME · On-site

... in Python for data analysis and model development (NumPy, pandas, scikit-learn). • Working ... experience-driven approach to education and discovery. Founded in 1898, the company is ...

KidsPeace

Special Education Teacher

Orono, ME · On-site

$52K - $69K/yr

Special Education Teacher KidsPeace School - Orono, ME KidsPeace School in Orono, Maine is looking ... Collect data and monitor student progress toward IEP goals. * Support students with social ...

KidsPeace

Special Education Teacher

Orono, ME · On-site

$52K - $69K/yr

Special Education Teacher KidsPeace School - Orono, ME KidsPeace School in Orono, Maine is looking ... Collect data and monitor student progress toward IEP goals. * Support students with social ...

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Data Analyst In Education information

What does a data analyst in education do?

A Data Analyst in Education collects, processes, and interprets educational data to help schools, districts, or educational organizations make informed decisions. They analyze student performance, attendance, and other metrics to identify trends, measure program effectiveness, and support policy development. Their work helps improve teaching methods, resource allocation, and student outcomes by turning complex data into actionable insights.

What are the key skills and qualifications needed to thrive as a data analyst in education?

To thrive as a Data Analyst in Education, you need strong analytical skills, proficiency in statistics, and a degree in a relevant field such as mathematics, education, or data science. Familiarity with tools like Excel, SQL, education-specific data platforms, and data visualization software (e.g., Tableau or Power BI) is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for educators and administrators. These skills are crucial because they enable data-driven decision-making that can improve student outcomes and institutional effectiveness.

How does a data analyst in education typically collaborate with teachers and administrators to improve student outcomes?

Data Analysts in Education often work closely with teachers and administrators to interpret student performance data and identify areas for instructional improvement. By presenting clear, actionable insights from assessment results and attendance trends, analysts help educators tailor interventions and support programs. Regular meetings, workshops, and data-driven presentations are common ways analysts facilitate collaboration, ensuring that data is translated into effective strategies that enhance learning outcomes.

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For Data Analyst In Education jobs in Maine, the most frequently searched job titles are:

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The top searched job categories for Data Analyst In Education jobs in Maine are:

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Cities in Maine with the most Data Analyst In Education job openings:

Data Analyst In Education jobs near you
Infographic showing various Data Analyst In Education job openings in Maine as of August 2026, with employment types broken down into 74% Full Time, 8% Temporary, and 18% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Data Scientist

Northeastern University

Portland, ME • On-site

$87K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

About the Opportunity
JOB SUMMARY
This is a full-time, one-year term appointment with the possibility of renewal. The position is in-person at Northeastern's Roux Institute in Portland, Maine.
The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University's Experiential AI Institute, will support the development and delivery of AI and data science solutions across diverse industries. The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads.
The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices across Predictive AI and Generative AI use cases.
Education & Experience
  • Master's degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
  • 0-2 years of industry, research, or applied project experience in data science or machine learning.
  • Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
  • Industry experience is preferred.

Knowledge, Skills, and Abilities
Technical and Analytical Foundations
  • Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
  • Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
  • Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
  • Exposure to Generative AI concepts and large language models (LLMs) is a plus.
  • Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
  • Working knowledge of SQL and relational databases.
  • Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
Model Development and Delivery Support
  • Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
  • Train, evaluate, and compare machine learning models under supervision.
  • Assist with model validation, performance monitoring, and documentation.
  • Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Collaboration and Communication
  • Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
  • Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
  • Willingness to participate in client meetings in a supporting role.
Preferred Experience
  • Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Understanding of software development best practices such as version control (Git) and Agile workflows.

Values & Professional Attributes
Ethical and Responsible AI
  • Awareness of ethical AI principles including fairness, transparency, and responsible model use.
  • Willingness to follow established governance, documentation, and review practices.
Learning and Growth Mindset
  • Strong curiosity and motivation to learn new tools, techniques, and AI methods.
  • Openness to feedback and mentorship.
Execution and Ownership
  • Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
  • Proactive attitude and willingness to take increasing responsibility over time.

Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
111S
Expected Hiring Range:
$87,785.00 - $123,998.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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