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Data Analyst R Programming Jobs in Connecticut (NOW HIRING)

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Collaborate with cross-functional teams including product, engineering, and data teams to integrate ... Strong analytical, problem-solving, and debugging skills. * Ability to work independently and ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Data Engineer

Greenwich, CT

$128K - $154K/yr

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

R. Berkley Corporation has grown from a small investment management firm into one of the largest ... Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Proficiency in R programming language * Prior internship experience About the Actuarial Team at ... At SageSure, you will gain hands-on experience working on challenging assignments and make data ...

Proven programming, statistics, and data analysis skills (e.g., Python, SQL, R) * Strong analytical thinking and a demonstrated interest in solving complex problems * Excellent written and verbal ...

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Data Analyst R Programming information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

How much do data analyst r programming jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data analyst r programming in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analyst R Programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

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