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Remote Data Jobs in Connecticut (NOW HIRING)

Education Bachelor's degree in computer science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent experience. #LI-Remote #LH1 For individuals assigned or hired ...

Education Bachelor's degree in computer science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent experience. #LI-Remote #LH1 For individuals assigned or hired ...

Data Scientist

Hartford, CT · On-site +1

$90K - $135K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Associate Bus Data Analysis - GA09AN We're determined to make a difference and are proud to be an ... Bachelor's Degree in Business preferred This role can have a Hybrid or Remote work arrangement.

Data Engineer (MedInsight)

Windsor, CT · On-site +1

$93K - $177K/yr

Our company purpose is to empower easy, data-driven decision-making on important healthcare ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Senior Data Analyst

Stamford, CT · On-site +1

$91K - $115K/yr

Remote Reports To: SVP, Data and Technology Who We Are Icon Health is a leading provider of value-based musculoskeletal (MSK) care, partnering with payers and providers to improve outcomes and reduce ...

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

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Remote Data information

See Connecticut salary details

$43.8K

$157K

$231.6K

How much do remote data jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data in Connecticut is $156,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Connecticut? The most popular types of Data jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Data jobs? Cities in Connecticut with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Connecticut as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $156,979 per year, or $75.5 per hour.

Director, Data Architect (Remote)

Archgroup

Hartford, CT • Remote

$153K - $193K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

The Actuarial Operations team designs and implements advanced pricing models and analytical solutions that drive profitability and growth across Arch's Property & Casualty insurance products.

The Director/AVP, Data Architect is a senior technical leader responsible for designing, building, and evolving enterprise data platforms that place analytics at the core of decisionmaking. This role combines data architecture ownership with handson data engineering, partnering closely with actuarial, analytics, and business leaders to deliver scalable, highquality solutions.

As a key member of the Actuarial Operations team, the Architect sets engineering standards, owns architectural decisions, and enables consistent, highquality data consumption across analytics, reporting, and downstream applications.

Responsibilities and Accountabilities:

Own and evolve enterprise data architecture supporting actuarial, analytical, and research use cases.

Design, build, and optimize complex data pipelines, databases, and data models.

  • Lead development and orchestration of data workflows using Apache Airflow or equivalent frameworks.

  • Enable consistent and trusted reporting by defining standardized datasets, calculations, and business definitions.

  • Partner with analytics teams to ensure data models support dashboards, adhoc analysis, and executive reporting.

  • Lead and mentor engineers, providing handson technical guidance and architectural direction.

  • Manage data engineering efforts across the full project lifecycle, balancing priorities and resources.

  • Automate data ingestion and integrate internal and external data sources using modern technologies.

  • Promote best practices across data modeling, documentation, testing, version control, and deployment.

  • Build strong partnerships with actuarial, analytics, and technology peers across the organization.

  • Operate effectively in ambiguous problem spaces and break complex challenges into actionable solutions.

Required Experience

10+ years of experience in data engineering or data platform development.

Demonstrated experience leading and mentoring engineering teams.

Strong understanding of data warehousing, dimensional modeling, and reportingfriendly data design.

Strong handson experience with Python for data engineering and automation.

Proven ability to deliver scalable, productiongrade data solutions.

Desired Experience

Experience supporting analytics or actuarial functions within insurance or financial services.

Handson experience with modern cloud data platforms such as Snowflake and Databricks.

Familiarity with MLOps and analyticsdriven production systems.

Familiarity designing and operating data pipelines using Apache Airflow or equivalent orchestration tools.

Strong data manipulation skills and resilient problemsolving ability.

  • Exceptional communication skills, with the ability to engage both technical and nontechnical stakeholders.

  • Exceptional collaboration and relationship building skills

  • Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces

Flexibility to adapt to changing priorities and business needs.

Education

Bachelor's degree in computer science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent experience.

#LI-Remote

#LH1

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$153,000 - $193,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

14400 Arch Insurance Group Inc.