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Data Analyst Computer Science Jobs in Suffield, CT

STI

Data Scientist

Hartford, CT · On-site

... in computer science, business, IT, management, administration, economics, or information science • 2 years of user research and feedback analysis • 2 years of data governance and working within ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT

The candidate should have 7+ years of industry experience in data science and analytics. Graduate degrees in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics ...

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

Experience with Databricks, Spark, cloud-based analytics platforms, or large-scale data environments. * Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering ...

New

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver ... Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or ...

Deloitte

Data Product Analyst

Hartford, CT · On-site

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... As an experienced Data Product Analyst - Analyst, you will have the opportunity to share new ideas ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Qualifications: 8+ years of relevant analytical experience recommended. Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science ...

Nassau

Analyst (Business Data Management)

Hartford, CT · On-site

Bachelor's degree in Computer Science, Statistics, Data Analytics, Actuarial-related or other job-related field * 0-5 years of progressively responsible experience in insurance or financial services ...

CVS Health

Sr. Data Scientist

Hartford, CT · On-site +1

$101K - $203K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and completion of a university-level course, research project ...

CVS Health

Sr Data Scientist

Hartford, CT · On-site +1

$105K - $203K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science. Statistics, Mathematics. Analytics, or a related field and one (1) year of experience in the job offered or related ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Suffield, CT

Data Analyst Computer Science information

See Suffield, CT salary details

$33K

$80.3K

$132.1K

How much do data analyst computer science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data analyst computer science in Suffield, CT is $80,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What cities near Suffield, CT are hiring for Data Analyst Computer Science jobs? Cities near Suffield, CT with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you

Data Scientist

STI

Hartford, CT • On-site

Full-time

Posted 20 days ago

Job description

Experience Required for This Role
Data Research & Analysis - at least 3 years of measurable experience in the following:
• Analyzing data and customer metrics to fulfill specific business goals
• Using data to help teams improve functionality and operations
• Developing and applying data models to improve the collection and analysis of data
• Bridging the divide between technical and business teams through data
• Communicating data analysis to various levels of stakeholders through visualizations
• Data cleansing, optimizing, and ETL
• Developing and analyzing user surveys
• Expertise in the principles and operating procedures of a specific industry
• Performing competitor research to help improve products and services
• Researching latest market trends and implementing knowledge
• Creating dashboards and reports that are easy to understand for non-technical users
• Organizing and storing data and queries for easy access in future work projects
• Documenting data collection and analysis procedures
• Organizing focus groups and feedback loops to establish data collection
• Using data to isolate problems and develop solutions
• Discovering and establishing proper KPIs to help track success
• Preparing and executing ROI analysis
• Establishing testing of products/services based off data analysis
• Identifying and understanding issues through forecasting, gap analysis, quantitative reporting, research, and statistical analysis
• Providing insights and recommending changes based on data findings
Knowledge, Skills, and Ability
Data Science
• Experience with machine learning, AI, and cognitive service engine models
• Experience with programming languages like SQL, Python, R, and Scala
• Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
• Experience using business intelligence tools like Tableau or Power BI
• Experience in data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
• Engaging in data experiments to provide cross-persona or enterprise analysis
• Leveraging statistical analysis and algebra
• Improving research or data management environments
• Leveraging economics, business/systems analysis, and quality assurance
• Manipulating large, complex data sets
• Documenting processes and modelling
Performance in Complex Situations
• Communication and collaboration with cross-functional teams and state-wide partners
• Clearing challenges for team members
• Comfort in blazing a path through an ambiguous work environment
• Judgement fitting to the ever-changing environment
• Ability to juggle multiple project workstreams
Service Design Team Building
• Supporting teammates' skills and behavior development and delivery
• Advocating data strategies both internally and externally
• A balance between strong domain expertise and flexibility
• Prioritization, organization, and triage in an independent environment
• Encouraging of an interactive, cooperative, collaborative, and customer-focused work environment
• Ability to maintain strict confidentiality
• Judgement in dealing effectively and diplomatically with all levels of government staff
Preferred Skills & Qualifications
Other Desirable Skills
• Deep domain knowledge for a particular industry - especially Health, Business, or Education
• Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
• 2 years of user research and feedback analysis
• 2 years of data governance and working within data security groups
• 1 year of API development
• 1 year of marketing experience, supported through metrics
• 1 year of project management experience
• 1 year of experience with customer relationship management platforms such as Salesforce
• 1 year of experience with web content management platforms such as Sitecore

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