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Business Intelligence Analyst Data Analyst Jobs in Springfield, MA

Analyst II, Digital Business

Windsor, CT · On-site

$84K - $124K/yr

Conducts intermediate level business process analysis, needs assessments and preliminary cost ... Experience partnering with Data Engineering, Business Intelligence, and business stakeholders to ...

Analyst II, Digital Business

Windsor, CT · On-site

$84K - $124K/yr

Conducts intermediate level business process analysis, needs assessments and preliminary cost ... Experience partnering with Data Engineering, Business Intelligence, and business stakeholders to ...

Analyst II, Digital Business

Windsor, CT · On-site

$84K - $124K/yr

Conducts intermediate level business process analysis, needs assessments and preliminary cost ... Experience partnering with Data Engineering, Business Intelligence, and business stakeholders to ...

AVP, Data Platform Engineering

Hartford, CT

$115K - $138K/yr

Analytics & Business Intelligence * Enable enterprise analytics and business intelligence capabilities through platforms such as Tableau and ThoughtSpot, emphasizing trusted datasets, reusable data ...

... strong focus on data analysis * Exceptional analytical and critical thinking skills using ... Business Intelligence tools including (but not limited to) Business Objects, ThoughtSpot or TM1 ...

Showing results 41-60

Business Intelligence Analyst Data Analyst information

See Springfield, MA salary details

$45.3K

$99.5K

$162.9K

How much do business intelligence analyst data analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for business intelligence analyst data analyst in Springfield, MA is $99,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $115,600.00 per year, depending on experience, location, and employer.

What does a business intelligence analyst data analyst do?

A Business Intelligence Analyst Data Analyst collects, processes, and analyzes data to help organizations make informed business decisions. They use various tools and techniques to turn raw data into actionable insights, create reports and dashboards, and identify trends or patterns that can improve business operations. Their work often involves collaborating with different departments to understand data needs and presenting findings to stakeholders in a clear and concise manner.

What are the key skills and qualifications needed to thrive as a business intelligence analyst data analyst?

To thrive as a Business Intelligence Analyst/Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a solid educational background in fields like statistics, computer science, or business. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and programming languages like Python or R is typically required, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating complex findings into actionable business insights. These competencies enable you to turn data into strategic decisions, directly impacting organizational performance and growth.

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

Business Intelligence and Data Analysts often work closely with teams across the organization, such as marketing, finance, operations, and IT. They gather requirements from stakeholders, translate business needs into data queries, and present actionable insights through reports or dashboards. Effective collaboration involves regular meetings to discuss findings, clarify data definitions, and ensure that analyses align with business objectives. This cross-functional teamwork helps drive data-informed decision-making throughout the company.

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

AspectBusiness Intelligence AnalystData Scientist
Required CredentialsBachelor's in Business, IT, or related field; certifications like Tableau or Power BIBachelor's or higher in Computer Science, Statistics, or related; advanced degrees often preferred
Work EnvironmentBusiness settings, reporting teams, data visualization toolsResearch labs, tech companies, data modeling environments
Employer & Industry UsageFinance, healthcare, retail, and other industries focusing on reporting and dashboardsTech, finance, healthcare, focusing on predictive modeling and complex data analysis

While both roles analyze data, Business Intelligence Analysts focus on creating reports and dashboards to support business decisions, whereas Data Scientists develop predictive models and advanced algorithms to uncover deeper insights. The roles often overlap but differ mainly in scope and technical complexity.

What are popular job titles related to Business Intelligence Analyst Data Analyst jobs in Springfield, MA?

For Business Intelligence Analyst Data Analyst jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Business Intelligence Analyst Data Analyst jobs in Springfield, MA look for?

The top searched job categories for Business Intelligence Analyst Data Analyst jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Business Intelligence Analyst Data Analyst jobs?

Cities near Springfield, MA with the most Business Intelligence Analyst Data Analyst job openings:

Infographic showing various Business Intelligence Analyst 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 $99,515 per year, or $47.8 per hour.

Data Scientist - Workforce Analytics

MANTECH

Springfield, MA

Full-time

Re-posted 27 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA.

The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties.

Responsibilities include but are not limited to:

  • Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders.
  • Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau.
  • Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting.
  • Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment.
  • Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization.
  • Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material.
  • Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.
     

Minimum Qualifications:

  • Bachelor’s Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
  • 7+ years of progressively responsible experience in social science or workforce analytics-related fields.
  • Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
  • Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
  • Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
  • Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.
     

Preferred Qualifications:

  • Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field.
  • Advanced proficiency in coding, specifically including SQL for database management.
  • Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.
     

Clearance Requirements:

  • An active TS/SCI with the ability to obtain and maintain a Polygraph.
     

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations.

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