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Data Analytics Jobs in Springfield, MA (NOW HIRING)

Good understanding and implementation of graph analytics and graph algorithm. Experience with Big Data execution using Hadoop / Horton Works. Experience with text mining using GATE or UIMA. Good ...

Sr Business Data Analyst

Hartford, CT · On-site

$100K - $150K/yr

Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. * Work together with ...

Bridge Energy Services (BES) is seeking an Energy Data Analyst with educational or work experience with energy and utilities data. Analyst will provide service and analytical excellence to internal ...

Associate Bus Data Analysis

Hartford, CT · On-site +1

$54K - $81K/yr

Associate Bus Data Analysis - GA09AN We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every ...

... Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is ... Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50 ...

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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:
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.
Data Platform Architect- (Databricks + Snowflake)

Data Platform Architect- (Databricks + Snowflake)

Cognizant Technology Solutions

Hartford, CT • On-site

$130K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 rated business consultants


Job description

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Data Platform Architect- (Databricks + Snowflake)
About the role
As a Data & Analytics Architect, you will make an impact by leading the design and evolution of a modern, scalable enterprise data platform built on Databricks Lakehouse and Snowflake, while enabling a Data Exchange and Data Marketplace ecosystem. You will be a valued member of the Data & Analytics team and work collaboratively with business and technology stakeholders across lines of business and external partners.
In this role, you will:
• Define and implement modern data platform architecture, using Databricks for ingestion, processing, and transformation (Bronze/Silver/Gold) and Snowflake for consumption, semantic layer, and downstream analytics.
• Architect a Data Exchange / Data Marketplace platform that enables secure, API-driven data sharing across internal business units and external partners.
• Define and operationalize Data-as-a-Product concepts, including domain-aligned data products, standardized data contracts, and SLAs.
• Design a unified data platform that integrates structured and unstructured data and supports hybrid cloud data ecosystems.
• Define an enterprise-wide data governance framework covering metadata management, lineage, data cataloging, access control, and compliance.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Hartford, Connecticut. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
• 15+ years of experience in Data & Analytics architecture.
• Hands-on expertise in Databricks, including Lakehouse, Spark, Delta Lake, and Unity Catalog.
• Hands-on expertise in Snowflake, including data warehousing, data sharing, and external tables.
• Strong experience in data modeling across lakehouse and warehouse environments.
• Strong experience in data ingestion, pipeline design, and distributed data processing.
These will help you stand out
• Experience with Data Exchange / Data Marketplace platforms and Data-as-a-Product implementations.
• Experience with data virtualization and semantic layers.
• Exposure to the AWS ecosystem (S3, IAM, orchestration tools) and API-led data integration.
• Exposure to GenAI and AI-enabled analytics.
• Experience in the Insurance domain (Policy, Claims, Underwriting data) or enterprise data hub / unified data platform initiatives.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation
Applications will be accepted until July 30,2026.
The annual salary for this position is between $130,000- $160,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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