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Remote Entry Level Data Analyst Jobs in Connecticut

Ameresco

DER Monitoring Platform Technician

Waterbury, CT · On-site +1

$25.48 - $37/hr

  • Medical

  • Retirement

  • PTO

Ameresco has an immediate opening for a DER Technician this is an entrylevel, position responsible ... remote commissioning of new monitoring systems, and troubleshooting of existing data acquisition ...

Aquent

Security Analyst

Stamford, CT · On-site +1

$44.40 - $49.33/hr

  • Medical

  • Retirement

Collate statistical data as requested to support operational and risk metrics for the Identity and ... and remote access technologies. * Strong customer-centric approach with exposure to handling ...

Crowe LLP

Workday Absence & HCM Senior Analyst

Hartford, CT · Remote

$91K - $116K/yr

Build, revise and test reports, including creating calculated fields, and ensuring data integrity ... LI-SAW #LI-Remote POSITION REQUIREMENTS: Education Bachelor's degree in Human Resources ...

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Remote Entry Level Data Analyst information

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How much do remote entry level data analyst jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote entry level data analyst in Connecticut is $31.32, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $35.00 per hour, depending on experience, location, and employer.

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant coursework or certifications. Many companies offer remote work options for entry-level analysts, especially in tech, finance, and consulting industries.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

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

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

What are the most commonly searched types of Remote Data Analyst jobs in Connecticut?

The most popular types of Remote Data Analyst jobs in Connecticut are:

What are popular job titles related to Remote Entry Level Data Analyst jobs in Connecticut?

For Remote Entry Level Data Analyst jobs in Connecticut, the most frequently searched job titles are:

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

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

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

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

Remote Entry Level Data Analyst jobs near you
Infographic showing various Remote Entry Level Data Analyst 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 $65,151 per year, or $31.3 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Waterbury, CT • Remote

$80 - $110/hr

Part-time

Posted 14 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply