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Afternoon Data Analyst R Programming Jobs in Middletown, CT

The Hartford

Sr. Data Engineer - Hybrid

Hartford, CT · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Analyze existing systems and programming logic to improve operations, identify issues, and revise ...

New

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines ...

Pwc

Data Engineer - Senior Associate

Hartford, CT · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

... statistical analysis in other industry * Experience in feature engineering on structured and ... Hands-on experience in Python, R, SQL, Scala * Exposure to cloud computing (Azure, AWS, etc.

Munich Re

Senior Data Scientist

Hartford, CT · On-site

... statistical analysis in other industry * Experience in feature engineering on structured and ... Hands-on experience in Python, R, SQL, Scala * Exposure to cloud computing (Azure, AWS, etc.

Pwc

Data Engineer - Manager

Hartford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Mohegan

Data Warehouse Analyst

Uncasville, CT · On-site

Bachelors' Degree in Computer Science, Engineering, Business or a related field * Demonstrated ... Knowledge of Data modelling (Star Schema) * Demonstrated analytical skills and critical thinking ...

The Rockridge Group

Senior Data Engineer

New Haven, CT · Hybrid

$106K - $144K/yr

Company X is seeking a savvy Data Engineer to join our growing team of analytics experts. The position is responsible for expanding and optimizing our data and data pipeline architecture, as well as ...

PB consulting

Senior Actuarial Analyst

Newington, CT · On-site

The candidate will collaborate with actuarial business teams, data developers, and technical teams to analyze existing Excel and SQL-based actuarial reports, validate calculations, define ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Middletown, CT

Afternoon Data Analyst R Programming information

See Middletown, CT salary details

$34.4K

$83.7K

$137.7K

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

As of Aug 13, 2026, the average yearly pay for afternoon data analyst r programming in Middletown, CT is $83,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,300.00 and $98,200.00 per year, depending on experience, location, and employer.

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 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Middletown, CT look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Middletown, CT are:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Middletown, CT as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,676 per year, or $40.2 per hour.

Sr. Data Engineer - Hybrid

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site

$117K - $175K/yr

Full-time

Re-posted 29 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 121 frontline employees who took The Breakroom Quiz

57th of 306 rated insurance

Job description

Sr Data Engineer - GE07BE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Actuarial Engineering/Data Management Department's Global Specialty team is seeking a skilled Sr. Data Engineer with a proven track record. The ideal candidate will use deep technical expertise and strong communication skills to deliver new initiatives while providing ongoing maintenance and support.
To excel in this role, you must be proficient in writing complex SQL transformations. You should also have experience in data analysis, requirements gathering, data modeling, and process design, with the ability to document and communicate technical details to business partners with varying levels of technical expertise.
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities include, but are not limited to:
  • Support the legacy on-premises Oracle PL/SQL application until it is successfully migrated to the AWS Snowflake platform.
  • Lead the migration of the legacy system to Snowflake, including application design, data modeling, process flows, source-to-target mapping, coordination with external teams, code development, developer leadership, and results validation.
  • Ensure the new Snowflake application is designed for long-term maintainability and enhancement, with a clear code base that supports effective communication with business users.
  • Support the new Snowflake application and document support procedures.
  • Coordinate activities with cross-functional IT stakeholders.
  • Research and evaluate alternative solutions and recommend the most efficient and cost-effective approach for system design.
  • Translate business problems into logical solution designs, then develop, test, and implement efficient, cost-effective application solutions by writing new code, reusing existing code, or integrating purchased solutions.
  • Prepare charts, tables, and diagrams to support problem analysis using appropriate business, scientific, engineering, and mathematical techniques. Analyze existing systems and programming logic to improve operations, identify issues, and revise logic or procedures as needed.
  • Foster a positive work environment by modeling cultural values and encouraging collaboration, accountability, diversity, and continuous improvement.

Required Qualifications:
  • Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
  • Bachelor's degree in Management Information Systems, Data Science, Computer Science, or related discipline, or seven or more years of relevant IT experience.
  • Robust SQL experience: must be comfortable writing complex transformations.
  • Seven or more years of ETL/data integration experience.
  • Two or more years of Oracle PL/SQL experience.
  • Solid data warehouse knowledge in insurance, financial services, or a related domain.
  • Knowledge of data modeling and familiarity with dimensional database structures.
  • Strong critical thinking and analytical skills.
  • Proven ability to organize and manage multiple priorities in a deadline-driven environment.
  • Excellent facilitation, requirements elicitation, and data analysis skills.
  • Experience mentoring and leading other Data Engineers.
  • Continuous learning mindset: must be comfortable learning new languages, platforms and approaches as needed.

Preferred Qualifications:
  • Experience with Python.
  • Experience with version control, CI/CD pipelines, and DevOps tools such as GitHub, Jenkins, Nexus, and uDeploy.
  • Experience with AWS cloud technologies; certifications are a plus.
  • Experience with Snowflake databases.
  • Knowledge of Global Specialty insurance.
  • Experience with artificial intelligence; certifications are a plus.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$117,200 - $175,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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