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Data Analyst Ai Jobs in Springfield, MA (NOW HIRING)

AI/Data Scientist

Springfield, MA · On-site

$140 - $190/hr

# AI/Data ScientistBravo Consulting GroupSpringfield, USFull-time## About the Role Designs and ... analytics and operational decision-making. • Technical Leadership: Lead cloud and AI ...

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 • ...

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Data Analysis Tutor

Hartford, CT · Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Position Summary We are seeking a highly skilled Data Engineer to support enterprise data platforms that enable analytics, AI-driven insights, member communications, and business intelligence ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Position Summary We are seeking a highly skilled Data Engineer to support enterprise data platforms that enable analytics, AI-driven insights, member communications, and business intelligence ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several ...

Showing results 41-60

Data Analyst Ai information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do data analyst ai jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analyst ai in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

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

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

What are the most commonly searched types of Data Analyst Ai jobs in Springfield, MA?

The most popular types of Data Analyst Ai jobs in Springfield, MA are:

What are popular job titles related to Data Analyst Ai jobs in Springfield, MA?

For Data Analyst Ai jobs in Springfield, MA, the most frequently searched job titles are:

What cities near Springfield, MA are hiring for Data Analyst Ai jobs?

Cities near Springfield, MA with the most Data Analyst Ai job openings:

Infographic showing various Data Analyst Ai job openings in Springfield, MA as of June 2026, with employment types broken down into 68% Full Time, 14% Part Time, 2% Temporary, 14% Contract, and 2% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $82,351 per year, or $39.6 per hour.

$115K - $138K/yr

Full-time

Posted 28 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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