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Ai Data Analytics Jobs in Connecticut (NOW HIRING)

Pitney Bowes

Principal AI & Data Architect

Shelton, CT · On-site

You build the scalable, secure, and governed foundation that supports analytics, machine learning, and generative AI. You serve as the architecture authority for AI and data platforms and ensure ...

Pitney Bowes

Principal AI & Data Architect

Shelton, CT · Hybrid

$298K - $372K/yr

You build the scalable, secure, and governed foundation that supports analytics, machine learning, and generative AI. You serve as the architecture authority for AI and data platforms and ensure ...

pitneybowes

Principal AI & Data Architect

Shelton, CT · Hybrid

You build the scalable, secure, and governed foundation that supports analytics, machine learning, and generative AI. You serve as the architecture authority for AI and data platforms and ensure ...

ClifyX

GEN AI Data Scientist Engineer

Hartford, CT · On-site

ClifyX is seeking a GEN AI Data Scientist Engineer with over 8 years of experience. The role ... Analytical Skills • Intermediate experience with Generative AI concepts and implementation • ...

The Hartford

Sr AI Data Engineer

Hartford, CT

$117K - $175K/yr

This is an opportunity to help shape the next generation of actuarial analytics. In this role, you ... Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or ...

Munich Re

Sr. Solution Architect

Hartford, CT · On-site

Role Overview We are seeking a Data and AI Enterprise Architect with deep expertise in Data, Analytics, and Artificial Intelligence (AI) to join the IT Enterprise Architecture organization. This role ...

Deloitte

Senior Manager Data Lead

Stamford, CT · Hybrid

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Deloitte's Healthcare Consulting practice is one of the largest ...

Deloitte

Senior Manager Data Lead

Hartford, CT · Hybrid

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Deloitte's Healthcare Consulting practice is one of the largest ...

Munich Re

Sr. Solution Architect

Bridgeport, CT

Role Overview We are seeking a Data and AI Enterprise Architect with deep expertise in Data, Analytics, and Artificial Intelligence (AI) to join the IT Enterprise Architecture organization. This role ...

The Hartford

Sr AI Data Engineer

Hartford, CT

$117K - $175K/yr

This is an opportunity to help shape the next generation of actuarial analytics. In this role, you ... Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or ...

The Hartford

Lead Staff AI Data Engineer

Hartford, CT · On-site +1

Develop data domains and data products to support reporting, analytics, AI/ML, and data science use cases * Ensure the reliability, availability, and scalability of data pipelines through monitoring ...

IQVIA

Associate Director, Data Analytics

Hartford, CT · Remote

The Associate Director of Data Analytics provides technical and people leadership to design, build ... Evaluate and adopt emerging technologies (including AI/ML and agentic patterns) where they ...

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

$224K - $314K/yr

... and analytics strategies for solving business problems. You'll leverage your Mainframe and Data modernization, AI, engineering, technical, business and communication expertise to partner with ...

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How much do ai data analytics jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for ai 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 AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

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

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

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

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

What cities in Connecticut are hiring for Ai Data Analytics jobs?

Cities in Connecticut with the most Ai Data Analytics job openings:

Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,326 per year, or $52.1 per hour.

Data Engineering Manager

Advanced Bio-Logic Solutions Corp.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Re-posted 7 days ago

Job description

Location: Remote - Hartford, CT
Employment Type: Contingent Worker (Contract, W2)
Contract Length: 12 months (possible extension)
Compensation: Open Market Rate
Summary of the Role
Support the global distribution organization of a large biotech pharmaceutical leader by designing, developing, and implementing AI, GenAI, custom GPT, automation, and data-enabled solutions to enhance business processes and operational efficiency. Collaborate directly with business stakeholders to identify opportunities, build scalable digital solutions, and ensure compliance and scalability. This hands-on role is ideal for a technical developer who thrives in translating business challenges into practical technology solutions.
Key Responsibilities
  • Design, develop, test, and implement AI, GenAI, custom GPT, automation, and data-driven solutions
  • Partner with business stakeholders to understand operational challenges and identify digital automation opportunities
  • Build and configure AI tools, automation workflows, and data analytics solutions using various platforms and coding languages
  • Write or adapt code, scripts, and workflows as needed to solve business problems
  • Ensure digital and AI solutions are secure, scalable, compliant, and sustainable
  • Support data standardization, data transformation, and validation efforts
  • Translate business requirements into technical designs, prototypes, MVPs, and scalable solutions
  • Document technical designs, workflows, business rules, data logic, and support procedures
  • Test, validate, troubleshoot, and enhance digital or AI-enabled solutions
  • Communicate effectively with both technical and non-technical stakeholders

Required Experience & Skills
  • Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions
  • Ability to build or configure custom GPTs, AI assistants, chatbots, or GenAI-enabled solutions
  • Experience writing or adapting code, scripts, workflows, or automation logic
  • Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar tools
  • Experience with tools such as Microsoft Copilot Studio, Azure OpenAI, Power Apps, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, or Confluence
  • Experience with embedding, semantic search, vector databases, and document intelligence
  • Understanding of prompt engineering, AI solution design, workflow automation, and data transformation
  • Proven ability to translate business requirements into technical solutions
  • Experience with structured and unstructured data processing, including extraction, cleansing, mapping, validation, and transformation
  • Strong business analysis, requirements gathering, process mapping, and documentation skills
  • Collaboration skills for working with business and technical teams
  • Ability to test, validate, troubleshoot, and enhance digital solutions
  • Strong documentation and communication skills

Preferred Qualifications
  • Experience in global supply chain, distribution, logistics, manufacturing, biotech, pharmaceutical, or regulated industries
  • Familiarity with software development practices, version control (GitHub), APIs, testing frameworks, CI/CD, or MLOps
  • Automation development for reporting, data reconciliation, exception management, workflow routing, or dashboards
  • Understanding of data governance, master data management, metadata, data stewardship, data lineage, and data quality frameworks
  • Familiarity with supply chain processes such as order management, inventory, warehouse operations, transportation, cold chain, serialization, trade compliance, or distribution planning
  • Experience with Agile, SAFe, product ownership, or digital product delivery
  • Knowledge of responsible AI, data privacy, cybersecurity, and compliance for enterprise AI solutions
  • Professional certifications such as AI, GenAI, Prompt Engineering, Microsoft Power Platform, Azure AI, Data Analytics, Automation/RPA, Agile/SAFe, APICS/CSCP/CPIM, Business Analysis, Cloud, Databricks, or Data Engineering

Top 3 Must Have Skills
1. Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions
2. Ability to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI solutions
3. Experience writing or adapting code, scripts, workflows, or automation logic
Day-to-Day Responsibilities
  • Translate business requirements into technical designs and scalable solutions
  • Work with structured and unstructured data for extraction, cleansing, mapping, validation, and transformation
  • Conduct requirements gathering, process mapping, documentation, and engage with stakeholders

Basic Qualifications
  • Master's degree and 3 to 5 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field
  • Bachelor's degree and 5 to 7 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field
  • Diploma and 9 to 11 years of relevant experience in Digital Solutions, Automation, Data Analytics, Software Development, Supply Chain Systems, or a related field.

This posting is for Contingent Worker, not an FTE
Advanced Bio-Logic Solutions logo

About Advanced Bio-Logic Solutions

Sourced by ZipRecruiter

At ABL, we combine our 15 years of staffing experience with our excellent relationships with top-rated companies to find you the perfect career fit. Our long-term client relationships allow us to find and facilitate rewarding engagements for our employees. You can count on ABL to deliver the right career match, whether you are looking for a consulting assignment or a permanent position. In the field of technology, there are many options that might interest a potential consultant. Whether you specialize in software development, design, analysis or support, we have technology career opportunities in the following areas:

Industry

Biotechnology research and development

Company size

1 - 10 Employees

Headquarters location

Westlake Village, CA, US

Year founded

2002

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