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Business And Data Analyst Jobs in Springfield, MA

Okaya Corp.

Business Analyst

Hartford, CT · On-site

A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data analysis skills, Jira, Microsoft Excel, Proven experience in eliciting ...

Posted today

Eversource

Data Strategist, AMI Program

Windsor, CT · Hybrid

In addition to analytical support functions, this position would also support business case development, technology exploration, assisting with a variety of requirement gathering, data analysis and ...

nLeague

Business Analyst

Hartford, CT · On-site

Onsite, 395 West St Rocky Hill, Connecticut 06134-0000 Duration: 06+ months A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

... business data delivery. Responsibilities: * Participate in developing high quality, scalable software modules for next generation analytics solution suite * Engage in activities with cross-functional ...

nLeague

Business Analyst

Hartford, CT · On-site

Business Analyst / B23 Coordinator - PART TIME- 25 HOURS PER WEEK - ONSITE A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data ...

Prospect Infosys Inc

Business Analyst

Hartford, CT · On-site

$60 - $70/hr

A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data analysis skills, Jira, Microsoft Excel, Proven experience in eliciting ...

Telnet Inc

Business Analyst

Hartford, CT · On-site

Hartford, Connecticut (Hybrid) Duration: 7 months A bachelor's degree in business IT / Computer Science or a related field is standard, Agile, Business analysis, Data analysis skills, Jira, Microsoft ...

Infosys Limited Digital

Business Analyst

Hartford, CT · On-site

In the assigned Job Role of Domain Consultant 1, your Area Of Responsibility will be as below: • Assist in data analysis and business modelling to support informed decision-making based on domain ...

Pwc

Data Strategy-Manager

Hartford, CT · On-site

$99K - $232K/yr

The Opportunity As part of the Data and Analytics team, you will lead the development and implementation of data-driven strategies that drive business growth and enhance decision-making. As a Manager ...

Pwc

Data Governance- Manager

Hartford, CT · On-site

$99K - $232K/yr

... business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising ...

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All JobsBusiness And Data Analyst JobsBusiness And Data Analyst Jobs in Springfield, MA

Business And Data Analyst information

See Springfield, MA salary details

$19

$45

$74

How much do business and data analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for business and data analyst in Springfield, MA is $45.29, according to ZipRecruiter salary data. Most workers in this role earn between $34.95 and $53.17 per hour, depending on experience, location, and employer.

What is a business and data analyst?

Business and Data Analysts are professionals who use data analysis and business insights to help organizations make informed decisions. They collect, process, and interpret data to identify trends, solve problems, and optimize business processes. While Business Analysts focus on understanding business needs and recommending solutions, Data Analysts specialize in analyzing data sets to extract actionable insights. Both roles often work together to support strategic planning and operational improvements. Their combined expertise is vital for driving business growth and efficiency in today's data-driven environment.

How does a business and data analyst typically collaborate with other departments within an organization?

Business and Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and IT. They gather requirements, interpret data needs, and translate findings into actionable insights for various stakeholders. Effective communication and the ability to present data-driven recommendations in a clear, concise manner are essential, as analysts often bridge the gap between technical data and business strategy. This collaborative environment not only broadens their understanding of the organization's operations but also provides opportunities for professional growth and influence.

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

To thrive as a Business and Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree in business, statistics, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and business intelligence platforms, as well as certifications such as CBAP or data analytics credentials, is highly valued. Exceptional communication, problem-solving, and stakeholder management skills help analysts translate complex data into actionable business insights. These skills ensure accurate data-driven decision-making and effective collaboration across departments for organizational success.

What is the difference between Business And Data Analyst vs Data Scientist?

AspectBusiness And Data AnalystData Scientist
Required SkillsData analysis, reporting, business intelligence tools, SQLStatistical modeling, machine learning, programming (Python/R)
Work EnvironmentBusiness teams, analytics departments, reporting toolsData modeling, algorithm development, research
CertificationsCertified Business Intelligence Professional, SQL certificationsCertified Data Scientist, Python/R certifications
Industry UsageBusiness analysis, finance, marketing, operationsTech, research, AI development, data-driven innovation

Business And Data Analysts focus on interpreting data to support business decisions using reporting and BI tools. Data Scientists develop complex models and algorithms to extract insights from large datasets. While both roles require analytical skills and some overlapping certifications, Data Scientists typically have stronger programming and statistical expertise, working more on predictive modeling and research. Business And Data Analysts are more involved in translating data into actionable business insights for various departments.

Can I be a business and data analyst with no experience?

Business and data analysts typically need some foundational knowledge of data analysis, statistics, and business processes, but entry-level roles may accept candidates with little to no experience if they demonstrate relevant skills, such as proficiency in Excel, SQL, or data visualization tools, and a willingness to learn. Gaining certifications or completing relevant coursework can improve chances of starting in this field without prior experience.
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Business And Data Analyst jobs near you
Infographic showing various Business And Data Analyst job openings in Springfield, MA as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $94,206 per year, or $45.3 per hour.

Data Transformation Analyst Intern

Hispanic Health Council Inc

Hartford, CT • On-site

Internship

Re-posted 27 days ago

Job description

About Company:

Since 1978, Hispanic Health Council has been championing health equity promotion and social justice in Connecticut through groundbreaking research and innovative health and human services. Our dynamic, culturally competent team creates lasting change in vulnerable communities through evidence-based programs and advocacy. Through our transformative initiatives, we're making an internationally recognized impact while offering meaningful careers with real growth opportunities. If you're passionate about making a difference, there's a place for you here!


About the Role:

As a Data Analyst Intern, you will play a crucial role in supporting our data-driven decision-making processes by collecting, processing, and analyzing large datasets. This internship offers a hands-on opportunity to apply statistical and analytical techniques to real-world business challenges, enhancing your technical and problem-solving skills. You will be responsible for preparing reports and visualizations that clearly communicate findings to stakeholders at various levels. Ultimately, your contributions will help improve operational efficiency and support strategic initiatives within the organization.

Minimum Qualifications:

  • Currently enrolled in or recently graduated from a degree program in Data Science, Statistics, Computer Science, or Mathematics Program.
  • Proficiencyin Excel, Tableau, and statistical tools (e.g., Python, R).
  • Knowledge of data warehousing and big data frameworks (e.g., Hadoop, Spark).
  • Strong mathematical and analytical skills, with familiarity in predictive modeling.

NOTE- It's an unpaid internship.

Preferred Qualifications:

  • Experience with programming languages such as Python or R for data analysis.
  • Knowledge of SQL for querying databases.
  • Exposure to data visualization tools like Tableau, Power BI, or similar platforms.
  • Understanding of machine learning fundamentals.
  • Previous internship or project experience involving data analytics.

Responsibilities:

  • Extract, clean, and transform data from multiple sources into standardized formats.
  • Develop data dictionaries and streamline metadata documentation for harmonized datasets.
  • Build data visualizations using Tableau and Excel for clarity on project insights.
  • Assist in model creation and validation for AI-driven trends analysis.

Skills:

In this role, you will apply your analytical skills daily to interpret complex datasets and extract meaningful insights that inform business decisions. Proficiency in tools like Excel, SQL, and programming languages such as Python or R will enable you to manipulate data efficiently and automate repetitive tasks. Your ability to create clear and compelling visualizations will help translate technical findings into accessible information for diverse audiences. Strong communication skills will be essential as you collaborate with team members and present your analyses. Additionally, your problem-solving mindset will drive continuous improvement in data processes and contribute to innovative solutions.