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Entry Level Data Analyst R Programming Jobs in Hartford, CT

AECOM

Entry-Level Bridge Engineer

Rocky Hill, CT · On-site

AECOM is seeking an Entry-Level Bridge Engineer to be based in Rocky Hill, CT. In this role, the ... Collection and analysis of data under the supervision of an experienced engineer. * Use computer ...

AECOM

Entry-Level Bridge Engineer

Rocky Hill, CT · On-site

AECOM is seeking an Entry-Level Bridge Engineer to be based in Rocky Hill, CT. In this role, the ... Collection and analysis of data under the supervision of an experienced engineer. * Use computer ...

AECOM

Entry-Level Bridge Engineer

Rocky Hill, CT · On-site

AECOM is seeking an Entry-Level Bridge Engineer to be based in Rocky Hill, CT. In this role, the ... Collection and analysis of data under the supervision of an experienced engineer. * Use computer ...

State of Connecticut

Research Analyst

Wethersfield, CT · On-site

$82K - $106K/yr

... programming, religious services, vocational training, reentry support and more. DOC is ... Experience using SQL, R, and Python for data manipulation and analysis. Conclusion AN AFFIRMATIVE ...

Transcend ABA

Be Seen First

Board Certified Behavior Analyst

Hartford, CT · Remote

$85 - $95/hr

Analyze behavioral data to evaluate progress and adjust plans accordingly * Train therapists on ... Provide training and support to parents and caregivers Preferred Qualifications * Entry-level ...

Xylem

Hydroinformatics Engineer

South Windsor, CT

Previous experience programming in software languages such as Python, R, C, MATLAB, etc. * Experience with modern data science workflows for data access and filtering, geospatial analysis, and model ...

Belcan

Entry-Level Structural Engineer

Windsor, CT

$62K/yr

You will conduct structural analyses of a wide variety of component designs utilizing advanced ... Support data acquisition/ reduction of hardware vibration environment measurements * Support ...

Infosys

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below ... R/ Python. • Participate in defining analytics problems; execute visualization, analysis, and ...

Workiva

Spring 2027 Intern - Data Analytics

Hartford, CT · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

Spring 2027 Intern - Data Analytics

Hartford, CT · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Hartford, CT

Entry Level Data Analyst R Programming information

See Hartford, CT salary details

$13

$33

$62

How much do entry level data analyst r programming jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level data analyst r programming in Hartford, CT is $33.21, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.12 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Hartford, CT?

The most popular types of Data Analyst R Programming jobs in Hartford, CT are:

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For Entry Level Data Analyst R Programming jobs in Hartford, CT, the most frequently searched job titles are:

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Cities near Hartford, CT with the most Entry Level Data Analyst R Programming job openings:

Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Hartford, CT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $69,084 per year, or $33.2 per hour.

Manager - Data & AI Solutions Engineering

Amphenol

Wallingford, CT • On-site

$114K - $137K/yr

Other

Posted 9 days ago

Key responsibilities

  • Design, develop, and maintain scalable analytics, automation, and AI solutions that improve Internal Audit processes

  • Build secure web-based applications and user-friendly tools for auditors

  • Develop Python applications, APIs, and reusable software components

Job description

Amphenol is one of the largest manufacturers of interconnect products in the world. Founded in 1932, Amphenol designs, manufactures and markets electrical, electronic and fiber optic connectors, interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. Amphenol has been on the forefront of enabling the electronics revolution by driving value through innovation and connecting people and technology. The primary end markets for the company's products are communications and information processing markets, including cable television, cellular telephone and data communication and information processing systems; aerospace and military electronics; and automotive, rail and other transportation and industrial applications. Listed on the NYSE with sales of $23.1 Billion in 2025 and a Fortune 500 company, Amphenol is a top performing company with an unparalleled history of growth. With over 170,000 dedicated employees working in 150 businesses in more than 40 countries, Amphenol has the unique advantage of having both diversified global reach while still being a focused organization. Our focus comes from our entrepreneurial management teams dedicated to specific markets and regions.


Job Title: Manager - Data & AI Solutions Engineering

Location: United States

Department: Internal Audit Department

Reports To: Manager - Data Analytics and Transformation


Overview

We are seeking a highly motivated Data & AI Solutions Engineer to join our Internal Audit department. This role is responsible for designing and building innovative technology solutions that transform the way Internal Audit delivers value across the organization.


Working directly with auditors and business stakeholders, you will develop modern data analytics, AI-powered applications, and intelligent automation solutions that improve audit planning, risk assessment, testing, documentation, and reporting. You will leverage Databricks, Python, cloud technologies, and large language models (LLMs) to create scalable tools that solve real business problems.


The ideal candidate has a strong computer science or software engineering background, enjoys building applications, and is passionate about applying emerging AI technologies to practical business challenges. Curiosity, creativity, and a willingness to experiment with new technologies are just as important as technical expertise.


Why Join Our Team?

Internal Audit is undergoing a technology transformation. Our team is building next-generation solutions using Databricks, AI, large language models, and modern software engineering practices to fundamentally change how audits are performed. You'll have the opportunity to experiment with emerging technologies, rapidly prototype new ideas, and deliver applications that are immediately used by audit teams around the world. If you enjoy building innovative software that solves real business problems, this is an opportunity to help shape the future of Internal Audit.


Key Responsibilities

  • Design, develop, and maintain scalable analytics, automation, and AI solutions that improve Internal Audit processes.
  • Build secure web-based applications and user-friendly tools for auditors.
  • Develop Python applications, APIs, and reusable software components.
  • Implement RAG solutions and intelligent document processing capabilities.
  • Develop LLM-powered applications and agentic workflows.
  • Build scalable data pipelines in Databricks.
  • Partner with auditors to translate business needs into technical solutions.
  • Evaluate emerging AI technologies and prototype new capabilities.
  • Design intuitive dashboards and web interfaces.

Document solutions and provide knowledge transfer.


Apply