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Entry Level Data Analyst Ai Jobs in Springfield, MA

AI Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

... analysis, and predictive modeling with senior support. โ€ข Identify data sources and extract from ... We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ...

Business Systems Analyst

Hartford, CT ยท On-site

$101 - $131/hr

... Analyst Technical Skills 2 Technology|Data Management - DB|MySQL Technical Skills 3 Technology ... We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ...

New

GenAI Data Engineer

Hartford, CT ยท On-site

$80 - $120/hr

You will collaborate closely with data scientists, analysts, and other stakeholders to ensure ... Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

Showing results 21-40

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 Sep 7, 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.

How to become an entry level data analyst AI?

To become an entry-level data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain familiarity with AI and machine learning concepts. Earning relevant certifications or completing online courses can also improve your prospects, along with experience using tools such as SQL, Excel, and data visualization software.

Is an entry level data analyst in demand with AI?

Entry level data analysts are in increasing demand as AI technologies expand, requiring skills in data manipulation, statistical analysis, and tools like Python or SQL. Organizations seek these roles to interpret data for AI model development and decision-making, making it a growing field for new professionals.

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:

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

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

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.

Business Intelligence & Analytics Analyst

Uma Foundation

Hadley, MA โ€ข On-site

$95 - $105/hr

Other

Medical, Dental, Vision, Retirement

Posted 19 days ago


Job description

Business Intelligence & Analytics Analyst

About University of Massachusetts Amherst Foundation

Established in 2003, the University of Massachusetts Amherst Foundation (UMAF), a private 501(c)(3) nonprofit organization, exists to raise philanthropic funds in support of the University of Massachusetts Amherstโ€™s mission and highest aspirations. Located on the Amherst campus and wholly dedicated to supporting the Universityโ€™s mission, UMAF is a separately governed nonprofit organization with its own health, wellness, and retirement benefits. UMAF serves the University of Massachusetts Amherst community by serving as a best practices resource for fundraising strategy and implementation.

About the role

The BI & Analytics Analyst sits within the Advancement Operations division and reports directly to the AVP of Advancement Operations. This is a handsโ€‘on individual contributor role responsible for building, maintaining, and improving UMAF's reporting and data assets.

The Analyst works primarily in Tableau and Snowflake, building dashboards and reports that give advancement staff and leadership reliable, reconciled data. They contribute to a selfโ€‘serve reporting environment by supporting data documentation and data quality work across the team.

This role is a good fit for someone who cares about getting numbers right, can trace a figure back to its source, and finds satisfaction in turning messy data into something a nonโ€‘technical person can act on. The right candidate asks "what are we actually trying to understand?" before writing the first query. They use AI tools as a natural part of their workflow, document as they go, and donโ€™t stop at the surface answer when something doesnโ€™t add up.

Advancement domain knowledge is useful but not required โ€” strong analytical habits and business curiosity travel well across industries.

Location

This is a fullโ€‘time hybrid position and is open to employees in select US states: Massachusetts, New York, Connecticut, Rhode Island, New Jersey and New Hampshire.

What you'll do
  • Builds and maintains Tableau dashboards and reports supporting fundraising performance, donor engagement, and advancement operations tracking.
  • Prepares ad hoc data pulls and analysis in response to requests from advancement staff and leadership.
  • Validates and reconciles report outputs against trusted data sources before delivery.
  • Designs visualizations that are clear and actionable for nonโ€‘technical audiences.
Data Analysis & Quality (30%)
  • Writes SQL queries in Snowflake to extract, transform, and analyze advancement data.
  • Identifies and documents data quality issues, working with team members and data stewards to resolve them.
  • Supports the development and maintenance of Snowflake reporting views used across the teamโ€™s reporting stack.
  • Participates in reconciliation processes that verify key metrics against authoritative sources.
Documentation & Selfโ€‘Serve Support (25%)
  • Contributes to UMAF's data dictionary and documentation library, keeping field definitions and reporting logic current.
  • Documents query logic and dashboard methodology so others can understand and reproduce the work.
  • Supports the development of UMAX (Salesforce Education Cloud) reporting resources and endโ€‘user guides.
  • Assists with training and support for advancement staff using selfโ€‘serve reporting tools.
  • Uses AI tools to accelerate analysis, draft documentation, and explore data questions โ€” and shares that fluency with the team.
Other Duties as Assigned (10%)

UMAF is building and growing, and this position will support those efforts with other duties and projects as assigned from time to time.

Qualifications Required
  • Bachelor's degree in data analytics, computer science, statistics, business, or a related field, or equivalent professional experience.
  • Experience building Tableau dashboards or comparable data visualization tools.
  • Strong attention to detail and demonstrated commitment to data accuracy.
  • Investigative mindset โ€” follows a data question until the underlying logic is understood, and flags when a number warrants a closer look.
  • Demonstrated habit of documenting query logic and methodology so others can trace and reproduce the work.
  • Active user of AI tools (such as Claude, ChatGPT, Copilot, or Cortex) as part of analytical and documentation workflows.
  • Ability to communicate analytical findings clearly to nonโ€‘technical audiences.
  • Excellent written, verbal, and interpersonal communication skills.
  • High degree of integrity, demonstrating respect for individuals at every level of an organization.
  • Ability to work effectively both independently and as a member of a team.
Preferred
  • Experience with Snowflake or other cloud data warehouse platforms.
  • Familiarity with Salesforce or advancement/fundraising CRM systems.
  • Experience in higher education, nonprofit fundraising, or a missionโ€‘driven organization. Domain knowledge in advancement is a plus; strong analytical instincts and documentation habits are weighted more heavily.
  • Experience writing technical documentation or contributing to a data dictionary.
  • Familiarity with ETL concepts and data pipeline basics.
Note

Weโ€™re passionate about building a diverse team. If your experience is close, but not an exact match, please consider applying. Experience comes in many forms, and skills are transferable. We know that diverse teams make better decisions and deliver better results, which is why weโ€™re committed to adding new perspectives and encourage everyone to apply.

BENEFITS
  • 20 vacation days, 12 holidays, 12 sick days, 5 personal days, and 2 office closure days.
  • 401(k) plan. You contribute 5% and receive a 10% match.
  • Health insurance packages for medical, dental, and vision.
  • 16 weeks of paid parental leave to use within 1 year of childbirth. An additional 6 weeks available for the birthing parent. Partโ€‘time work for fullโ€‘time pay for the first 4 weeks post parental leave.
Proposed Annual Salary Range:

$95,000 - $105,000

DIVERSITY, EQUITY AND INCLUSION

At the UMass Amherst Foundation, we understand the value that diversity, equity, and inclusion bring to our workplace, our constituents, and our community.

We welcome and value diversity in all its forms and recognize that a diverse and inclusive team strengthens our work and advances our mission. We recognize that the benefits of a diverse team are fully realized when people of all races, gender identities, ages, ethnicities, cultural heritages and nationalities; educational backgrounds; religious and political beliefs; sexual orientations; abilities; and socioeconomic and veteran status are valued, respected, and included at every level. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact careers@umaโ€‘foundation.org to request accommodation.

OUR VALUES

Connection Build meaningful relationships rooted in trust, respect, and belonging.

Courage Show up with integrity, embrace challenges, and lead through uncertainty.

Curiosity Commit to learningโ€”for yourself and othersโ€”and create a culture where everyone can thrive.

Questions regarding the position or anything else related to careers with UMAF may be directed to the People & Culture team at careers@umaโ€‘foundation.org

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