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Data Researcher Jobs in Connecticut (NOW HIRING)

STI

Data Scientist

Hartford, CT · On-site

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 • ...

ACI Infotech

UX Researcher

Hartford, CT · On-site

Ask questions, gather data, and analyze data * Use a diverse set of UX research tools User Acceptance Testing - At least 3 years of experience and use cases with the following: * Building and running ...

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All JobsData Researcher JobsData Researcher Jobs in Connecticut

Data Researcher information

See Connecticut salary details

$28.5K

$107.6K

$156.5K

How much do data researcher jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data researcher in Connecticut is $107,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $146,500.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of a data researcher?

As a Data Researcher, your daily responsibilities usually involve gathering, cleaning, and analyzing large datasets, as well as creating reports and visualizations to present your findings. You may work closely with data scientists, business analysts, and subject matter experts to define research goals and ensure data accuracy. Regular tasks could also include monitoring trends, documenting sources, and communicating insights to various departments. This collaborative and investigative environment means you'll often balance independent work with team projects, fostering both technical and interpersonal skills.

What is a data researcher?

A Data Researcher is responsible for collecting, analyzing, and interpreting data to support business decisions, market research, or academic studies. They use various sources, such as databases, surveys, and reports, to gather relevant information. Data Researchers also clean and organize data, ensuring accuracy and reliability. Their work helps organizations identify trends, make informed decisions, and improve strategies based on data-driven insights.

What are the key skills and qualifications needed to thrive in the data researcher position, and why are they important?

To thrive as a Data Researcher, you need strong analytical skills, knowledge of statistics, and proficiency in data collection and analysis, often supported by a degree in a related field like statistics, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms, as well as certifications in data science or analytics, is highly valuable. Attention to detail, curiosity, critical thinking, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately interpreting data, generating actionable insights, and effectively conveying findings to stakeholders.

What are popular job titles related to Data Researcher jobs in Connecticut? For Data Researcher jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Researcher jobs in Connecticut look for? The top searched job categories for Data Researcher jobs in Connecticut are:
Data Researcher jobs near you
Infographic showing various Data Researcher job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, 3% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $107,592 per year, or $51.7 per hour.

Data Scientist

STI

Hartford, CT • On-site

Full-time

Re-posted 21 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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