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Internship Remote Data Analyst Jobs in Manchester, CT

Quest Global

RFQ Analyst

Windsor Locks, CT · Remote

$29.81 - $34.62/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Internship Remote Data Analyst information

See Manchester, CT salary details

$12

$22

$42

How much do internship remote data analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship remote data analyst in Manchester, CT is $22.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.76 per hour, depending on experience, location, and employer.

What types of projects can a remote data analyst intern typically expect to work on, and how is support provided when working remotely?

As a remote data analyst intern, you can expect to work on projects like cleaning and organizing datasets, conducting exploratory data analysis, creating visualizations, and assisting with building statistical models or dashboards. Since you are working remotely, communication and mentorship are often facilitated through regular virtual meetings, shared documentation, and collaboration tools such as Slack or Microsoft Teams. Supervisors and team members will typically provide guidance through scheduled check-ins and feedback sessions, ensuring you have the support needed to progress and learn. This structure helps interns develop both technical and communication skills essential for data-driven roles.

What is a remote data analyst internship?

A remote data analyst internship is a temporary position where interns work from a location of their choice, typically from home, to support an organization's data analysis needs. Interns in this role collect, process, and analyze data to help inform business decisions. They may use tools like Excel, SQL, or Python to organize data, create reports, and present findings. The internship provides practical experience and helps build skills that are valuable for a career in data analysis.

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

To thrive as an Internship Remote Data Analyst, you need a solid understanding of data analysis, statistics, and proficiency in tools like Excel, Python, or R, often supported by coursework in data science or related fields. Familiarity with data visualization platforms such as Tableau or Power BI and experience with SQL databases are typically expected. Strong attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and sharing insights remotely. These abilities ensure accurate analysis, clear reporting, and effective collaboration in a virtual work environment.
What job categories do people searching Internship Remote Data Analyst jobs in Manchester, CT look for? The top searched job categories for Internship Remote Data Analyst jobs in Manchester, CT are:
What cities near Manchester, CT are hiring for Internship Remote Data Analyst jobs? Cities near Manchester, CT with the most Internship Remote Data Analyst job openings:
Internship Remote Data Analyst jobs near you
Infographic showing various Internship Remote Data Analyst job openings in Manchester, CT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $47,277 per year, or $22.7 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Waterbury, CT • On-site, Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.

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.

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