ZipRecruiter

Log In

1

Data Analytics Jobs in Springfield, MA (NOW HIRING)

Reconomy

Manager, Business Data & Analytics

Windsor, CT · On-site

$100K - $125K/yr

Manager, Business Data & Analytics Application Deadline: 23 July 2026 Department: Change & Transformation Employment Type: Permanent - Full Time Location: Windsor Reporting To: Samuel Sa Compensation ...

The Hartford

Business Data Analyst

Hartford, CT · Hybrid

$80K - $120K/yr

Experience deeper understanding of Data analytics, Emerging technologies and Analysis practice! * Collaboration with a high-performing, forward-focused team, Product Owner(s) and Business ...

Amicis Global

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

... analytics business requirements completely and accurately from stakeholders. • Performs requirements planning, monitoring, and requirements management. • Independently performs rigorous data ...

Trinity College

Data Analyst

Hartford, CT

Serve as the primary analytics partner for Reunion Giving, supporting annual strategies and multi-year planning with data-driven insights * Develop and refine predictive models, scoring, and ...

next page

Showing results 1-20

All JobsData Analytics JobsData Analytics Jobs in Springfield, MA

Data Analytics information

See Springfield, MA salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for data analytics in Springfield, MA is $54.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $61.78 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Springfield, MA? The most popular types of Data Analytics jobs in Springfield, MA are:
What job categories do people searching Data Analytics jobs in Springfield, MA look for? The top searched job categories for Data Analytics jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Data Analytics jobs? Cities near Springfield, MA with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Springfield, MA as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,475 per year, or $54.6 per hour.

Manager, Business Data & Analytics

Reconomy

Windsor, CT • On-site

$100K - $125K/yr

Full-time

Medical, Dental, Retirement

Posted 15 days ago

Job description

Manager, Business Data & Analytics
Application Deadline: 23 July 2026
Department: Change & Transformation
Employment Type: Permanent - Full Time
Location: Windsor
Reporting To: Samuel Sa
Compensation: $100,000 - $125,000 / year
Description
At Lincoln Waste Solutions, powered by Reconomy, our vision is a waste-free world where resources are conserved, and economic growth is achieved through sustainable, circular practices. We provide a full-service management approach for all types of waste and recycling, offering services such as recycling, waste consulting, hauler management, and back-office support.
With a proven track record, we work with hundreds of clients across the globe, including regional and national companies across various industries. Leveraging strong partnerships with over 6,000 haulers, we help our clients achieve greater waste efficiency, increased recycling, improved sustainability data, and cost savings, all while moving toward a more sustainable, waste-free future.
About the role
  • Extract and consolidate data from multiple systems using SQL and other data access tools.
  • Design and implement standardized data models across key business processes and financial metrics.
  • Develop and maintain dashboards and reporting (primarily in Power BI) supporting both operational and financial performance.
  • Translate business and FP&A needs into actionable analytics and visualizations.
  • Support process improvement and integration initiatives with data analysis.
  • Identify trends, anomalies, and root causes of operational and financial performance issues.
  • Establish processes to ensure data accuracy, completeness, and consistency.
  • Monitor and improve data quality across systems and reporting outputs.

What we need from you
  • Bachelor's degree in Data Analytics, Business, Finance, Engineering, or a related field.
  • 3-6 years of experience in data analytics, business intelligence or financial / operational analytics roles.
  • Experience working with multiple disparate data sources (e.g., legacy systems, acquisitions, spreadsheets).
  • Strong experience with SQL and backend data extraction.
  • Experience building dashboards and reports (e.g., Power BI, Tableau). Experience supporting operational and financial reporting.
  • Exposure to ERP / CRM systems (e.g., Salesforce, Dynamics) preferred.
  • Power BI or equivalent BI tool certification preferred

What we offer
  • Comprehensive health and dental benefits
  • Employer matching of employee retirement contribution
  • Supportive work-life balance: hybrid/in-office work schedule
  • Supportive of professional development
  • Dynamic and international working environment
  • Will work in close coordination with Reconomy teams in the Americas and periodically with other regions

Apply