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Data Associate Jobs in Springfield, MA (NOW HIRING)

... Data Technicians, and other service technicians), and other positions. This vacancy is one of those ... This policy applies to all employees, prospective employees, suppliers, clients, associates and ...

... financial data management. • Prepare monthly, quarterly, and annual financial reports for ... Associate, Bookkeeper, or Accountant. • Advanced proficiency in QuickBooks for day-to-day ...

... financial data management. • Prepare monthly, quarterly, and annual financial reports for ... Associate, Bookkeeper, or Accountant. • Advanced proficiency in QuickBooks for day-to-day ...

Supply Associate

Hartford, CT

$16.25 - $20.25/hr

Ability to read, interpret, and accurately record data * Intermediate computer skills, including spreadsheet proficiency * Strong collaboration skills to work effectively with associates and vendors

Supply Associate

Hartford, CT · On-site

$16.25 - $20.25/hr

Ability to read, interpret, and accurately record data * Intermediate computer skills, including spreadsheet proficiency * Strong collaboration skills to work effectively with associates and vendors

Supply Associate

Hartford, CT · On-site

$16.25 - $20.25/hr

Ability to read, interpret, and accurately record data * Intermediate computer skills, including spreadsheet proficiency * Strong collaboration skills to work effectively with associates and vendors

Supply Associate

Hartford, CT

$16.25 - $20.25/hr

Ability to read, interpret, and accurately transcribe data for inventory records. * Completion of Inventory Associate workstation certifications and assigned trainings. * Ability to safely lift up to ...

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How much do data associate jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data associate in Springfield, MA is $32.19, according to ZipRecruiter salary data. Most workers in this role earn between $23.85 and $38.12 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and use tools like Excel or database software to support data analysis and reporting tasks.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, making strategic decisions, and applying domain knowledge, which AI currently cannot fully replicate. The role is evolving to include skills in AI tools and data visualization software.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

A data analyst needs strong analytical skills to interpret data accurately, proficiency in tools like Excel, SQL, or Python for data manipulation, and good communication skills to present findings clearly. Familiarity with data visualization and statistical knowledge also enhance their effectiveness in the role.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What are the key skills and qualifications needed to thrive as a Data Associate, and why are they important?

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

Is data entry a permanent job?

Data entry positions can be either permanent or temporary, depending on the employer and the nature of the role. Permanent data associate jobs typically offer ongoing employment with benefits, while temporary roles are often project-based or seasonal. The permanency of a data entry job depends on the company's staffing needs and the employment agreement.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Springfield, MA? The most popular types of Data jobs in Springfield, MA are:
What job categories do people searching Data Associate jobs in Springfield, MA look for? The top searched job categories for Data Associate jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Associate jobs? Cities near Springfield, MA with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Springfield, MA as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,957 per year, or $32.2 per hour.

Senior Data Scientist (Level I)

Sun Life Financial

Hartford, CT • On-site

$97K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

73rd of 261 rated insurance


Job description

Sun Life U.S. is one of the largest providers of employee and government benefits, helping approximately 50 million Americans access the care and coverage they need. Through employers, industry partners and government programs, Sun Life U.S. offers a portfolio of benefits and services, including dental, vision, disability, absence management, life, supplemental health, medical stop-loss insurance, and healthcare navigation. We have more than 6,400 employees and associates in our partner dental practices and operate nationwide.

Visit our website to discover how Sun Life is making life brighter for our customers, partners and communities.

Job Description:

This role will provide advanced analytics expertise within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This team is expected to work closely with the other teams across the organization, including functional teams and the analytic agile squads supporting AI use cases within various business domains. This position reports to the Director of Advanced Analytics Transformation within the Health and Risk Solutions business. Responsibilities include development and monitoring of predictive model and AI solutions to support our pricing, underwriting, claim forecasting, and clinical review processes. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes, mentoring junior team members, and promoting a culture of data-driven risk-based decisions.

How will you contribute?

  • Independently apply data science techniques to solve business problems across various analytical areas, including exploratory data analysis, feature engineering, predictive modeling, and visualization
  • Develop, validate, and maintain high-quality, robust predictive models and AI solutions that meet business and technical requirements
  • Utilize multiple sources of data, including structured and unstructured data, along with a variety of machine learning techniques to improve model performance and interpretability
  • Write clean, modular, and well-documented code that can be deployed and maintained in production, while providing technical guidance and code reviews for junior team members.
  • Interpret data and model outputs to generate clear actionable insights and recommendations that influence business decisions.

What will be needed to succeed?

  • Strong knowledge of statistical and machine learning framework, with a deep conceptual understanding of time series mythologies and forecasting techniques
  • Proficiency in Python and SQL for data manipulation, modeling, and automation

Strong problem-solving skills and effective communication, with an ability to explain complex technical concepts to a non-technical audience

  • Ability to turn proof-of-concept model into production-ready code and reproducible workflows
  • Commitment to data compliance, model governance and security protocols
  • Strong business acumen to understand why and how the work we do will impact our business stakeholders
  • BS/MS in a statistical, mathematical, or technical field (e.g., computer science, actuarial science)
  • 3+ years of experience in developing and implementing data science techniques

What will be nice to have?

  • Experience with actuarial/pricing, underwriting or related concepts utilized in the health insurance field Demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process
  • Familiarity with MLOps practices, including model deployment, monitoring, and lifecycle management

About us:

Sun Life Financial is a leading provider of employee benefits in the U.S., helping Clients achieve lifetime financial security and live healthier lives. See how at https://www.youtube.com/user/SunLifeFinancialUS

The company has a stated strategic focus on leveraging data and insights to enhance our Clients' experience and drive business growth.

Join our talented, diverse workforce and cultivate a rewarding career. Visit us at www.sunlife.com/us to learn more.

Salary Range: $97,400 - $146,100
At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions.

Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!

We are committed to fostering an inclusive environment where all employees feel they belong, are supported and empowered to thrive. We are dedicated to building teams with varied experiences, backgrounds, perspectives and ideas that benefit our colleagues, clients, and the communities where we operate. We encourage applications from qualified individuals from all backgrounds.

Life is brighter when you work at Sun Life

At Sun Life, we prioritize your well-being with comprehensive benefits, including generous vacation and sick time, market-leading paid family, parental and adoption leave, medical coverage, company paid life and AD&D insurance, disability programs and a partially paid sabbatical program. Plan for your future with our 401(k) employer match, stock purchase options and an employer-funded retirement account. Enjoy a flexible, inclusive and collaborative work environment that supports career growth. We're proud to be recognized in our communities as a top employer. Proudly Great Place to Work Certified in Canada and the U.S., we've also been recognized as a "Top 10" employer by the Boston Globe's "Top Places to Work" for two years in a row. Visit our website to learn more about our benefits and recognition within our communities.

We will make reasonable accommodations to the known physical or mental limitations of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email thebrightside@sunlife.comto request an accommodation.

For applicants residing in California, please read our employee California Privacy Policy and Notice.

We do not require or administer lie detector tests as a condition of employment or continued employment.

Sun Life will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including applicable fair chance ordinances.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Category:

Advanced Analytics

Posting End Date:

31/07/2026

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