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Remote Data & Analytics Jobs in Connecticut (NOW HIRING)

Infiltrator Water Technologies

Business Analyst

Old Saybrook, CT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Business, Finance, Accounting, Economics, Information Systems, Data Analytics, or a related field. * 2-3 years of experience in business analysis, sales analytics, financial ...

New

Infiltrator Water Technologies

Business Analyst

Old Saybrook, CT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Business, Finance, Accounting, Economics, Information Systems, Data Analytics, or a related field. * 2-3 years of experience in business analysis, sales analytics, financial ...

New

The Hartford

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 ...

The Hartford

Sr. Cloud Architect

Hartford, CT · On-site +1

$137K - $205K/yr

The Hartford's Data Analytics and AI Office (DAIO) - and Data Platform Services (DPS) Team is ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

New

BIC

Category Analyst, Shave

Shelton, CT · Remote

... analytics, category management, sales analytics, or related field. * Experience working with ... Data integrity across customer reporting #LI-remote BIC World is an Equal Opportunity Employer. We ...

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Remote Data Analytics information

See Connecticut salary details

$23

$52

$89

How much do remote data & analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote data & analytics in Connecticut is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.99 per hour, depending on experience, location, and employer.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What are the key skills and qualifications needed to thrive in the Remote Data & Analytics position, and why are they important?

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

What are the most commonly searched types of Data & Analytics jobs in Connecticut?

The most popular types of Data & Analytics jobs in Connecticut are:

What are popular job titles related to Remote Data & Analytics jobs in Connecticut?

For Remote Data & Analytics jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Data & Analytics jobs in Connecticut look for?

The top searched job categories for Remote Data & Analytics jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Data & Analytics jobs?

Cities in Connecticut with the most Remote Data & Analytics job openings:

Remote Data Analytics jobs near you
Infographic showing various Remote Data & Analytics job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $108,326 per year, or $52.1 per hour.

Cheminformatics Specialist - Remote

micro1 AI

New Haven, CT • On-site, Remote

$90 - $120/hr

Part-time

Posted 23 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.

Apply