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Analyst Data Analysis Jobs in Connecticut (NOW HIRING)

Group1001

Quantitative Analysis Intern

Stamford, CT · On-site

Data Analysis for LVS To support underwriting and market insight generation, the position will analyze datasets to identify behavioral patterns in used car ownership and derive operational limits ...

Gartner

Data Analyst

Stamford, CT · On-site +1

Partner with colleagues to do analysis that surfaces actionable insight for the BTI organization. Effectively communicate findings to drive adoption and implementation. * Project ownership:

Medix

Data Analyst

New Haven, CT · On-site

$50 - $70/hr

Job Summary Our client is seeking a skilled Data Analyst with expertise in BI & Dashboard ... Stakeholder Engagement & Gap Analysis: Interface directly with clinical and operational leadership ...

Icon Health

Senior Data Analyst

Stamford, CT · Remote

$91K - $115K/yr

Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within medical claims data that inform hypothesis generation and strategic initiatives * Develop and maintain ...

Icon Health

Senior Data Analyst

Stamford, CT · On-site +1

$100K - $120K/yr

Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights within medical claims data that inform hypothesis generation and strategic initiatives * Develop and maintain ...

Avance Consulting Services

Data Analyst

Milford, CT

... analysis Well experienced In working with distributed teams in global environment Providing end to end leadership in delivering challenging requirements and meeting stringent deadlines Experience ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT · On-site

Ability to perform ad-hoc analysis, bringing independent thought leadership and value-added insights and judgment * Prior data mining experience is helpful Basic Qualifications & Requirements

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Showing results 21-40

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Analyst Data Analysis information

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.
What are popular job titles related to Analyst Data Analysis jobs in Connecticut? For Analyst Data Analysis jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Analyst Data Analysis jobs in Connecticut look for? The top searched job categories for Analyst Data Analysis jobs in Connecticut are:
What cities in Connecticut are hiring for Analyst Data Analysis jobs? Cities in Connecticut with the most Analyst Data Analysis job openings:
Analyst Data Analysis jobs near you
Infographic showing various Analyst Data Analysis job openings in Connecticut as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 100% In-person job distribution.

Quantitative Analysis Intern

Group1001

Stamford, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago

Group1001 rating

9.5

Company rating: 9.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

7th of 304 rated insurance

Job description

Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to deliver outstanding value and operational performance by combining financial strength and stability with deep insurance expertise and a can-do culture. Group1001's culture emphasizes the importance of collaboration, communication, core business focus, risk management, and striving for outcomes. This goal extends to how we hire and onboard our most valuable assets - our employees.
Why This Role Matters:
We are seeking an intern to join our Quantitative Analysis Department for FALL 2026. Primary responsibilities for this position include performing research and quantitative analysis to support product development.
This individual must have excellent analytical capability, strong collaboration and communication skills as well as the ability to deliver high quality work with strong attention to detail. This individual will report and work closely with RVI's Quantitative Analysis Team.
This is a full-time, 40-hour-per-week internship following a hybrid schedule, with two days required in-office each week.
How You'll Contribute:
  • Collect and process external data to support current market value, residual value forecast assessment, vehicle identification process, and assigned research topic
  • Analyze historical data and provide recommendations to enhance forecast processes
  • Conduct research on internship topic
  • Present research and findings of market trends and forecast processes

Research Topics:
Data Analysis for LVS
To support underwriting and market insight generation, the position will analyze datasets to identify behavioral patterns in used car ownership and derive operational limits from the data.
  • Investigate patterns in the dataset showing consumer behavior in used car ownership,
  • Identify practical limits and constraints observable from the data,
  • Check assumption from new-to-used ownership with a detailed distribution of ownership lag years,
  • Provide recommendations for incorporating findings into underwriting assumptions.

The topic will require statistical analysis, data visualization, and a final presentation on insights for underwriting use.
Risk Management: Loss Tracing Data Analysis
To support risk management and mitigation planning, the position will work on developing a loss tracing tool and performing deep-dive analyses of loss-related datasets.
  • Build a tool to trace losses through the claims process,
  • Analyze loss data, remarketing data, and behavioral data to identify patterns and root causes,
  • Extract insights into claim process efficiency and potential pain points,
  • Recommend actions to prepare for future risk mitigation strategies.

The topic will require tool development, data analysis, and a final presentation of findings and recommendations.
Operational Data Loading and Processing Automation
To support data operations for PV and related functions, the position will manage monthly loading and preprocessing of external datasets.
  • Handle monthly data loading,
  • Standardize and validate datasets for consistency and completeness,
  • Develop simple automation scripts to reduce manual effort,
  • Document the workflow for smooth handover and repeatability.

The topic will require basic data processing skills, attention to detail, and operational documentation.
CE Data Science Project
To provide CE with more actionable data for making better and more efficient decisions, the position will lead the CE data analysis project, focusing on uncovering relationships within the data to improve process efficiency and outcome quality.
  • Identify patterns and correlations within CE datasets to inform decision-making,
  • Develop analytical frameworks that guide process improvements,
  • Summarize insights to support a more efficient and data-driven process.

The topic will require exploratory analysis, and a final presentation of findings and actionable recommendations.
What We're Looking For:
  • Enrolled in a Graduate Degree program in actuarial science, statistics, economics, financial engineering, or other related fields
  • Minimum of one year completed in current Graduate program
  • 0-6 months experience in an analytical position
  • Knowledge/ experience in auto industry preferred
  • Knowledge/ experience in insurance industry preferred
  • Proficient in Microsoft Excel and working knowledge of Stata
  • Proficient in SQL
  • Proficient in Python, R or other statistical software
  • Excellent skills and/or experience in data analysis and management
  • Excellent grammar, written and spoken communication skills in English
  • Ability to work on assigned research topic and achieve results independently
  • Must have excellent communication skills
  • Strong interpersonal and collaboration skills
  • Ability to learn new tasks and skills quickly; comfortable asking questions and verifying information and requirements

Benefits Highlights:
Employees who meet benefit eligibility guidelines and work 30 hours or more weekly, have the ability to enroll in Group 1001's benefits package. Employees (and their families) are eligible to participate in the Company's comprehensive health, dental, and vision insurance plan options. Employees are also eligible for Basic and Supplemental Life Insurance, Short and Long-Term Disability. All employees (regardless of hours worked) have immediate access to the Company's Employee Assistance Program and wellness programs-no enrollment is required. Employees may also participate in the Company's 401K plan, with matching contributions by the Company.
Group 1001, and its affiliated companies, is strongly committed to providing a supportive work environment where employee differences are valued. Diversity is an essential ingredient in making Group 1001 a welcoming place to work and is fundamental in building a high-performance team. Diversity embodies all the differences that make us unique individuals. All employees share the responsibility for maintaining a workplace culture of dignity, respect, understanding and appreciation of individual and group differences.
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