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Afternoon Data Analyst R Programming Jobs in Connecticut

Your strong proficiency (2-3 years) programming in Microsoft SQL Server or similar relational ... R or SAS * Python * Experience with open-source GIS software and libraries About Us For over 50 ...

Overview Data Analyst (Operations - Temporary Services Department) About the Role: Electric Boat is ... You'll collaborate with talented operators, engineers, planners, and craftsmen who take pride in ...

It provides strategic business consulting, technology,engineering and outsourcing services to help ... Data Analyst Location: Milford, CT Duration: Fulltime/Permanent .Excellent customer facing skills ...

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Business Data Analyst

Hartford, CT · On-site

$45 - $50/hr

... developers. - Possesses strong functional knowledge and skills reflective of a competent ... data analysis skills. - Experience with mentoring and leading other Business Analyst or Data ...

Business Data Analyst Job Location: Hartford, CT, USA, 06155 Work Model: Hybrid Work Model Details ... Bachelor's degree in a technical field such as computer science, computer engineering or related ...

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Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Connecticut?

The most popular types of Data Analyst R Programming jobs in Connecticut are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Connecticut?

For Afternoon Data Analyst R Programming jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Connecticut look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Connecticut are:

What cities in Connecticut are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Connecticut with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 61% Full Time, 30% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Data Analyst

Middletown, CT • On-site

Verisk
Library and Information Services • 5 - 10K employees

Other

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Verisk rating

7.6

Company rating: 7.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz


Job description

Job Description

We seek to fill a position on the MarketStance Data Team, transforming dozens of disparate data sources into a model of the U.S. economy and commercial insurance market. Your strong proficiency (2-3 years) programming in Microsoft SQL Server or similar relational database tool, interest in learning and applying knowledge about the U.S. commercial market, and great problem-solving skills in a scientific, mathematical, or analytical field outside of insurance will lead to success in this position.

Responsibilities
  • Operate and maintain data modeling and manipulation routines in a Microsoft SQL Server environment, predominantly consisting of Transact-SQL scripts and relational database objects
  • Create data models, metadata, and conduct quality assurance for MarketStance products and consulting projects
  • Leverage knowledge of U.S economy to inform exposure estimates
    • Employ dozens of government, industry regulator, and private firmographic datasets
    • Understand strengths, limitations, and scope of various data sources
  • Develop advanced understanding of insurance industry coverages, rating components, buying propensity, loss modeling, and regulation
    • Conduct secondary research related to commercial insurance
    • Leverage the world’s largest repository of premium and loss data to assess market conditions and enhance MarketStance’s product suite
  • Present research findings and data for internal and external clients
  • Enjoy breadth of exposure and strategic influence over projects
  • Spring 2026 graduates considered
Required
  • Undergraduate degree in a strong research and problem-solving field—economics, natural sciences, math/statistics, or computer science
  • Experience writing queries with MS SQL Server or another relational database tool
  • Excellence in technical/analytical writing
  • Ability to work both collaboratively and independently, but without task-to-task oversight
  • Ability to work tasks and projects with which you have little or no prior expertise or familiarity
  • MS Excel
  • MS PowerPoint
Preferred
  • Actuarial, underwriting, or research experience in insurance, particularly commercial lines
Other Desired Experience
  • MS SQL Server Integration Services
  • R or SAS
  • Python
  • Experience with open-source GIS software and libraries
About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses
  • Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
  • Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
  • Property and Restoration Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
  • Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
  • Catastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
  • Marketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
  • Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
  • Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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About Verisk

Sourced by ZipRecruiter

Verisk is a top-tier data analytics organization based in Jersey City, NJ, US, known for its deep industry knowledge and analytical prowess. Operating in the global risk assessment industry, it provides predictive analytics and decision support solutions to a wide range of industries like insurance, natural resources, financial services, government, and health care. Founded in 1971, Verisk operates on a mission of helping customers make superior decisions to minimize risk. With an organic growth strategy, Verisk offers a diverse portfolio of solutions, like risk assessment and decision analytics, that help businesses understand and manage their risks.

Industry

Library and information services

Company size

5,001 - 10,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

1971

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