1

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

The Data Analyst will own production reporting, demand planning analytics, KPI dashboards, and ... Experience with BI/visualization and AI tools. * Strong Excel/Google Sheets skills including pivot ...

Business Data Analyst

Hartford, CT ยท Hybrid

$80K - $120K/yr

Use GenAI for mapping, profiling, BRD acceleration and Validate AI outputs with domain judgment ... Prior data analysis experience with Big Data technologies and willing/adapting to future ...

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data ... Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet ...

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data ... Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet ...

next page

Showing results 1-20

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 Jun 28, 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.

Will data analyst jobs get replaced by AI?

Data analyst jobs are unlikely to be fully replaced by AI, as the role requires critical thinking, domain knowledge, and interpretation of complex data. AI tools can automate routine tasks and assist in data processing, but human analysts are essential for insights, decision-making, and strategic recommendations. Developing skills in data visualization, programming, and AI tools can enhance job security in this evolving field.

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.

How does a Data Analyst specializing in 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 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.

Which 3 jobs will survive AI?

Data Analysts with expertise in interpreting complex data and using tools like SQL and Excel are likely to remain in demand, as their role involves critical thinking and domain knowledge that AI cannot fully replicate. Jobs requiring high levels of creativity, emotional intelligence, or strategic decision-making, such as management consultants and healthcare professionals, are also expected to persist. These roles benefit from human judgment and interpersonal skills that are difficult for AI to replace entirely.

What do AI data analysts do?

AI data analysts collect, process, and analyze large datasets to help develop and improve artificial intelligence models. They use tools like Python, SQL, and machine learning frameworks to identify patterns, generate insights, and support decision-making processes in AI projects.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, which can be learned through online courses or certifications. Many professionals transition into data roles later in life and find opportunities based on their experience and continuous learning.
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:
Business Data Analyst

Business Data Analyst

Software Guidance & Assistance

Hartford, CT โ€ข On-site

Other

Posted yesterday


Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Junior Business Data Analyst for a CONTRACT assignment with one of our premier Insurance clients, working a hybrid schedule in Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC
Our Clients Enterprise Data Office is currently looking for a Business Data Analyst to join the Corporate Data Services team. This role will be focused on providing business and data analysis support for several highly visible, business-critical applications.
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
In this role, you will be responsible for the following:
Applies functional knowledge and techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. Performs requirements planning, monitoring and requirements management.
Independently performs data analysis, data discovery and data profiling using industry standard querying tools to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience.
Maintains Data mapping documents, and other Data Design artifacts that define business data requirements and transformation rules.
Act as liaison and advisor/consultant between the business and IT stakeholders.
Performs and aids functional testing
Structure and drive working and informational sessions that promote collaboration, synergy, and achieve desired outcomes.
Understands the scope of the project and helps resolve scope questions and issues related to own work.
Handles moderate level root cause analysis of business data issues and provides technical data guidance on issues
Helps resolve scope questions and issue
Leverage AI tools and techniques to streamline daily tasks such as data profiling, anomaly detection, and report generation within the data warehousing lifecycle.
Design and refine AI prompts to extract insights, automate documentation, and support decision-making across business and technical teams.
Translate business processes into AI requirements, ensuring that models and tools align with operational goals and stakeholder expectations.
Collaborate with data engineers and stakeholders to identify opportunities for AI-driven enhancements in ETL workflows, metadata management, and data quality monitoring.
Qualifications:
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Bachelors degree and 3+ years of experience in business requirements and/or data analysis supporting the Insurance industry.
Proficient in industry standard querying tools (Snowflake, Toad, Toad for Data Analysts, SQL, SAS, R, Python, Hive, etc)
Experience designing and refining AI Prompts while translating business processes into AI requirements.
Experience working on data warehouse or reporting/analytic projects
Experience in industry standard querying tool
Experience working on Agile projects
Strong facilitation, requirements elicitation and data analysis skills
Connected with industry best practices
Proven ability to organize and manage multiple priorities in a timeline driven environment.
Presentation Skills
Focused on continuous improvements
Interpersonal and influencing skills
Effectively manages key stakeholders in a matrix environment
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.