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Student Data Analyst Remote Jobs in Connecticut (NOW HIRING)

RFQ Analyst

Windsor Locks, CT · Remote

$29.81 - $34.62/hr

Prepare technical data packages for export (both US and International) * Provide analytics on ... Work Requirements: This position is classified as Remote within the United States. Travel ...

Accounting Analyst - Claim

Hartford, CT · On-site +1

$55K - $91K/yr

Compile financial data for variance analysis and reporting of results against expectations. Perform ... If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you ...

Business Systems Analyst Senior

Hartford, CT · On-site +1

$63K - $106K/yr

... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ... Preferred Skills Application Development, Business Management, Customer Solutions, Data Analysis ...

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Experience in data and analytics delivery and cloud migration (AWS/Snowflake). Preferred ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Showing results 41-60

Student Data Analyst Remote information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do student data analyst remote jobs pay per year?

As of Aug 18, 2026, the average yearly pay for student data analyst remote in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a student data analyst remote?

A Student Data Analyst Remote job involves analyzing and interpreting data related to student performance, enrollment, or other educational metrics while working remotely. Responsibilities may include cleaning and organizing data, creating reports, and identifying trends to support decision-making. This role typically requires proficiency in data analysis tools like Excel, SQL, or Python, along with strong analytical and communication skills. It can be found in educational institutions, ed-tech companies, or research organizations.

What are the key skills and qualifications needed to thrive as a student data analyst remote?

To excel as a Student Data Analyst Remote, you need a strong foundation in statistical analysis, data interpretation, and a basic understanding of data governance, often backed by coursework or a degree in statistics, mathematics, or a related field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required, while certifications in data analytics can be an advantage. Strong attention to detail, time management, and effective written communication skills are vital for remote collaboration and presenting findings. These competencies enable you to deliver accurate insights, meet project deadlines, and contribute effectively to distributed teams.

What are some typical challenges faced by remote student data analysts, and how can they be addressed?

Remote student data analysts often encounter challenges like collaborating across time zones, staying motivated without onsite supervision, and maintaining clear communication with team members and mentors. To overcome these obstacles, it's helpful to establish a structured daily routine, use collaborative platforms such as Slack or Teams, and proactively schedule regular check-ins with supervisors. Additionally, documenting workflows and sharing progress updates can enhance transparency and keep projects on track. Building a reliable support network within the organization also ensures you have guidance and resources when you need them.

What job categories do people searching Student Data Analyst Remote jobs in Connecticut look for?

The top searched job categories for Student Data Analyst Remote jobs in Connecticut are:

What cities in Connecticut are hiring for Student Data Analyst Remote jobs?

Cities in Connecticut with the most Student Data Analyst Remote job openings:

Infographic showing various Student Data Analyst Remote job openings in Connecticut as of August 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

Cheminformatics Specialist - Remote

micro1 AI

New Haven, CT • On-site, Remote

$90 - $120/hr

Part-time

Posted 21 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.