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Entry Level Data Analyst Ai Jobs in Springfield, MA

The Hartford

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

As a Data Engineer, you will contribute to the development of scalable data platforms and production-ready data pipelines that enable analytics, machine learning, and AI solutions. Working closely ...

Infosys

AI Engineer

Hartford, CT · On-site

The role of AI Engineer involves developing and operationalizing machine learning models, ensuring data quality, and collaborating with business and technology teams to create analytics solutions.

DataAnnotation

FP&A Manager - AI Trainer

Springfield, MA · Remote

$50 - $100/hr

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 ...

DataAnnotation

FP&A Manager - AI Trainer

Hartford, CT · Remote

$50 - $100/hr

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 ...

Varsity Tutors

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Northampton, MA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

DataAnnotation

Financial Planner - AI Trainer

Hartford, CT · Remote

$50 - $100/hr

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 ...

Apex Informatics

AI Engineer

Hartford, CT · On-site

... data. Key Responsibilities * Support the ongoing operation, modernization, and extension of AI ... Analyzes requirements and participates in project planning sessions with customers, analysts, and ...

KēSTA I.T.

AI Engineer 804812

Hartford, CT · On-site +1

$1/hr

T is actively seeking AI Engineer for an immediate contract engagement with our government client ... data. · Strong analytical, problem-solving, verbal, and written communication skills. · Ability ...

DataAnnotation

M&A Associate - AI Trainer

Hartford, CT · Remote

$50 - $100/hr

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 ...

DataAnnotation

M&A Associate - AI Trainer

Springfield, MA · Remote

$50 - $100/hr

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 ...

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Entry Level Data Analyst Ai information

See Springfield, MA salary details

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

As of Aug 11, 2026, the average hourly pay for entry level data analyst ai in Springfield, MA is $32.81, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $36.63 per hour, depending on experience, location, and employer.

What is an entry level data analyst AI?

Entry level data analyst AI jobs involve collecting, cleaning, and interpreting data to help organizations make informed decisions, with a focus on supporting artificial intelligence projects. These roles may include preparing datasets for machine learning models, analyzing trends, and creating reports or visualizations. While these positions require strong analytical and problem-solving skills, they are suitable for those beginning their career in data analysis and AI, often requiring knowledge of basic programming languages, statistics, and data tools.

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

To thrive as an Entry Level Data Analyst, you need a solid understanding of statistics, data cleaning, and foundational analytics concepts, often supported by a degree in a related field such as mathematics, statistics, or computer science. Familiarity with tools like Excel, SQL, and data visualization software (e.g., Tableau or Power BI), as well as basic knowledge of programming languages like Python or R, is typically expected. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for clearly interpreting and presenting data insights. These skills and qualifications are vital for accurately analyzing data, supporting business decisions, and effectively collaborating with team members.

What are some common challenges faced by entry level data analysts working with AI projects, and how can they overcome them?

Entry-level Data Analysts in AI projects often face challenges such as understanding complex data structures, adapting to rapidly evolving tools, and interpreting results from advanced machine learning models. Collaborating closely with data scientists and engineers can help bridge knowledge gaps and foster learning. Staying proactive in seeking mentorship, participating in code reviews, and dedicating time to continuous learning are effective strategies to overcome these hurdles and quickly grow in the role.
What are popular job titles related to Entry Level Data Analyst Ai jobs in Springfield, MA? For Entry Level Data Analyst Ai jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst Ai jobs in Springfield, MA look for? The top searched job categories for Entry Level Data Analyst Ai jobs in Springfield, MA are:
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Entry Level Data Analyst Ai jobs near you
Infographic showing various Entry Level Data Analyst Ai job openings in Springfield, MA as of June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $68,248 per year, or $32.8 per hour.

Data Engineer

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 28 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 304 rated insurance

Job description

Data Engineer - GE08AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Data Engineer (AI & Data Platforms)
The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps) services for the Customer Operations Data Science team.
The Hartford is developing industry-leading AI and machine learning capabilities to improve customer experience (CX) at scale. Within Customer Operations Data Science, we build modern AI products that optimize customer interactions across omnichannel journeys, supporting operational areas such as the Contact Center, Digital, Premium Audit, and Billing.
As a Data Engineer, you will contribute to the development of scalable data platforms and production-ready data pipelines that enable analytics, machine learning, and AI solutions. Working closely with data scientists, machine learning engineers, product owners, and business partners, you will help deliver reliable data assets and services that create measurable business value.
Our Core Values
  • We build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye toward scalable and maintainable systems.
  • We are trusted and transparent. We collaborate closely with our business and technology partners and are mindful of their capacity to absorb change.
  • We provide assets that are safe to buy. Our products include monitoring, observability, and governance to ensure long-term success.
  • We will earn the right to influence. With humble confidence, we listen carefully and become trusted partners in problem solving.
  • We are practical and evolutionary. We first deliver a minimally viable solution and expand its sophistication over time based on customer feedback and business value.

Responsibilities
  • Design, build, and maintain scalable ETL/ELT data pipelines and integrations.
  • Develop and support data ingestion, transformation, and delivery solutions using cloud-native technologies.
  • Implement data quality controls, monitoring, and observability capabilities to ensure reliable data products.
  • Support machine learning and AI solutions through data engineering, feature engineering, and operationalization activities.
  • Build reusable frameworks, components, and automation capabilities to increase delivery efficiency.
  • Collaborate with Data Science, Enterprise Data, Cloud Enablement, Architecture, and Business teams to deliver data solutions.
  • Develop and maintain CI/CD pipelines and Infrastructure as Code (IaC) assets to support cloud-based deployments.
  • Assist with the deployment, monitoring, and support of production data and AI services in AWS and GCP environments.
  • Troubleshoot and resolve data pipeline, integration, and platform performance issues.
  • Participate in Agile ceremonies, code reviews, technical documentation, and continuous improvement activities.
  • Follow and promote software engineering, DataOps, and MLOps best practices.

Minimum Requirements
  • Must be authorized to work in the U.S. now and in the future.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent work experience.
  • Experience building and supporting data pipelines in cloud-based environments.
  • Experience with SQL development and relational database concepts.
  • Experience with Python or similar programming languages.
  • Familiarity with AWS and/or GCP cloud services.
  • Experience with source control systems such as GitHub.
  • Experience with CI/CD tools such as GitHub Actions, Jenkins, or similar platforms.
  • Experience with Infrastructure as Code (Terraform, CloudFormation, or similar technologies).
  • Familiarity with workflow orchestration tools such as Apache Airflow, Cloud Composer, or similar platforms.
  • Experience working with data warehouse technologies such as Snowflake, Redshift, BigQuery, or similar platforms.
  • Understanding of data quality, data governance, and data lifecycle management principles.
  • Familiarity with API integration and cloud-native application development concepts.
  • Basic understanding of machine learning workflows and model deployment concepts.

Preferred Skills
  • Strong understanding of data structures and software development fundamentals.
  • Experience building and optimizing large-scale data pipelines.
  • Experience with Docker, Kubernetes, and containerized application deployment.
  • Experience supporting MLOps or AI platform capabilities.
  • Experience with data observability and monitoring tools.
  • Familiarity with dbt, Spark, Hadoop, or other modern data engineering technologies.
  • Experience working in Agile development environments.
  • Exposure to Generative AI technologies, Agentic AI workflows, vector databases, or LLM-powered applications.
  • Experience working in highly regulated industries such as insurance or financial services.

Qualifications
  • 2+ years of experience in data engineering, software engineering, analytics engineering, or related technical roles.
  • 2+ years of Python development experience.
  • 2+ years of SQL development experience.
  • Experience developing, maintaining, or supporting ETL/ELT data pipelines.
  • Experience working with cloud technologies such as AWS, GCP, or Azure.
  • Experience using CI/CD pipelines and Infrastructure as Code practices.
  • Experience working with modern data platforms such as Snowflake, BigQuery, or Redshift.
  • Exposure to data quality, monitoring, and operational support processes.
  • Familiarity with emerging data-centric technologies including Generative AI, Agentic workflows, and embedding LLMs into automated processes.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). 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.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$100,960 - $151,440
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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