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Afternoon Data Analyst R Programming Jobs in Norwalk, CT

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Data Analyst

New York, NY · On-site +1

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... Your Role: We're looking for a Data Analyst to help make Alpaca data-driven from the ground up. You ...

New

Data Analyst

New York, NY · On-site +1

$130K - $135K/yr

Own analytics-ready datasets and dashboards from requirements through delivery and adoption * Lead ... Partner with data engineering to: * Investigate root causes of data issues and bugs * Prioritize ...

Data Analyst

New York, NY · On-site

$97K - $130K/yr

Data Analyst Req ID: 10150773 Technology is at the heart of Disney's past, present, and future ... Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to ...

This position focuses on analyzing source data structures, developing source-to-target mapping ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

Senior Data Analyst

New York, NY · On-site

$94K - $118K/yr

... programming and analysis skills using R, Stata, Python and/or SAS Experience working in academic or public health research settings, with contribution to scientific publications. Willingness and ...

Required:****10+ yrs exp Data Analyst/Engineer with Financial client experience. Strong SQL, Big data****Required** **NY/NJ locals who can go in person interviews.****Day 1 Onsite in NewYork*

Data Analyst

New York, NY · Remote

$55 - $60/hr

Company Name: YUPRO Placement Data Analyst This is a contract opportunity. This is a remote ... Partner with operations, product, and engineering teams to solve data-driven problems * Define and ...

Data Analyst

New York, NY · On-site +1

$97K/yr

Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software * Analyzing trends and changes in areas related to ...

Data Analyst . Duration: 3+ Years Location: Brooklyn, New York 11201. REQ ID: 06022017-2DA PROJECT ... Ability to facilitate sessions and one-on-one meetings with developers and managers, meet deadlines ...

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Afternoon Data Analyst R Programming information

See Norwalk, CT salary details

$34.1K

$83K

$136.5K

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

As of Jun 12, 2026, the average yearly pay for afternoon data analyst r programming in Norwalk, CT is $82,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $97,400.00 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, and why are they important?

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Norwalk, CT? For Afternoon Data Analyst R Programming jobs in Norwalk, CT, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Norwalk, CT look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Afternoon Data Analyst R Programming jobs? Cities near Norwalk, CT with the most Afternoon Data Analyst R Programming job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Job Responsibilities
    Monthly collection, preprocessing, and analysis of all cost and usage data for Hearst companies across three major cloud providers: AWS, Azure, and GCP
    Lead monthly business reviews with Hearst-owned companies to ensure teams fully understand their cloud consumption and their options for optimization
    Ensure strong working relationships with other areas of the business contributing to the delivery of service to customers, notably DevOps, architecture, product management, development, and support
    Develop and maintain dashboards to provide visibility into cloud spend and trends for various audiences (technical, financial, and executive) to consume throughout Hearst
    Configuration and enhancement of Hearst's cloud cost management software platform and ad-hoc cost analysis where necessary
    Alignment with and support of Hearst cloud migration efforts through the creation of business cases and cloud cost estimates
    Implement FinOps best practices, standards and automation
    Analyze large amounts of information to discover trends and patterns
    Present information using data visualization techniques
    Collaborate with engineering and product development teams
    Ensure support for a culture of continuous improvement, including identifying areas for potentially improved automation and feeding back to relevant teams
Experience Required
    2+ years hands-on experience in cloud financial management, cloud operations and data analysis, including tools for cost exploring and optimization 
    Excellent interpersonal, communications and presentation skills, with an ability to communicate in non-technical terms to non-technical people
    Strong analytical and spreadsheet skills with the ability to use data mining to extract information from data sets and identify correlations and patterns
    Strong knowledge of public cloud services and cost for at least one of three major cloud providers (AWS, Azure, and GCP), with certification preferred
    Self-starter mindset with the ability to work independently in a fast-paced environment
    Experience working in large organizations on enterprise-scale projects
    Experience using Generative AI to enhance personal efficiency and productivity
Essential and Desirable Skills
    Microsoft Excel with advanced skills working with Pivot Tables and complex formulas
    Knowledge of FinOps principles (FinOps Foundation certification a plus)
    Experience with business intelligence tools such as PowerBI or Tableau 
    Problem-solving mindset
    Strong statistics and algebra math skills
    Build predictive models and machine-learning algorithms
    Ability to read or write scripts in one or more modern scripting or programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go
Educational Requirements
    BS/BA degree in Computer Science, Engineering, Mathematics or relevant industry experience
    Cloud Certifications preferred
    FinOps Certification preferred

In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in New York City.  The reasonable estimate, if hired in New York City, is $85,000 - $115,000.  Please note this information is specific to those hired in New York City.  If this role is open to candidates outside of New York City, the salary range would be aligned to that specific location.  A final decision on the successful candidate's starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills and experience, training, certifications, and education.  Hearst provides a competitive benefits package, including medical, dental, vision, disability and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.

In accordance with applicable law, Hearst is required to include a reasonable estimate of the compensation for this role if hired in Washington.  The reasonable estimate, if hired in Washington, is $85,000 - $115,000.  Please note this information is specific to those hired in Washington.  If this role is open to candidates outside of Washington, the salary range would be aligned to that specific location.  A final decision on the successful candidate's starting salary will be based on a number of permissible, non-discriminatory factors, including but not limited to skills and experience, training, certifications, and education.  Hearst provides a competitive benefits package, including medical, dental, vision, disability and life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.
 

Hearst is a leading global, diversified information, services, and media company dedicated to innovating, informing audiences and leading with purpose, integrity and a culture of care.

Our portfolio includes more than 360 businesses worldwide. On the consumer side, we operate 35 television stations, 28 daily newspapers and publish more than 200 magazine editions featuring many of the most iconic brands in media. We also hold ownership stakes in leading cable networks such as A&E, HISTORY, Lifetime and ESPN. On the business-to-business side, our companies include Fitch Group, a global leader in financial information and analytics; Hearst Health, which provides intelligence and software that improve care outcomes; and Hearst Transportation, which delivers data and software for aviation, automotive and trucking.

Our strength lies in our people. We value the diverse perspectives that move us forward. We are an Equal Opportunity Employer and makes employment decisions without regard to race, color, religion, national origin, sex or gender, sexual orientation, gender identity, gender expression, age, disability, military or veteran status or any other status protected by federal, state, or local law. We also provide reasonable accommodations to applicants and employees consistent with applicable law.
The Hearst Technology Services (HTS) team partners with Hearst's businesses that operate in diverse industries to enable business outcomes leveraging modern technology solutions. We are a global, customer centric, agile and innovative organization where creativity,  team work  and having fun while working hard is appreciated. Â