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Afternoon Data Analyst R Programming Jobs in Worcester, MA

... data analysis procedures with 2 years of programming experience in R and SAS and/or Stata. • 2+ years of experience with SQL database queries and programming with demonstrable skills. • ...

Analytics Engineer

Waltham, MA · On-site

$124.80K - $149.80K/yr

... data modeling. • Some experience in Python, R or other Object-Oriented Programming language is a ... in designing analytical data layers and ETL, to facilitate accurate and timely insights. • ...

The Data Warehouse Developer-Analyst will be supporting a new area of analysis involving User Experience data with our products. Through the new Marts supporting analysis of this data, the incumbent ...

Data System Analyst * Location: Framingham, MA About the job This position resides within the ... About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ...

Data System Analyst * Location: Framingham, MA About the job This position resides within the ... About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ...

Data System Analyst * Location: Framingham, MA About the job This position resides within the ... About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ...

Big Data Architect

Framingham, MA

$65.50 - $84.25/hr

Define analytic architecture that leverages the Big Data Platform to enable advanced analysis ... Firm understanding of major programming/scripting languages like Java, Python, R, etc. * Extensive ...

Analytics Engineer

Waltham, MA · On-site

$118.30K - $177.40K/yr

You are an analytics translator and champion for Global Partners. You embrace collaboration with ... data modeling. * Some experience in Python, R or other Object-Oriented Programming language is a ...

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Afternoon Data Analyst R Programming information

See Worcester, MA salary details

$33.9K

$82.5K

$135.7K

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

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Worcester, MA is $82,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,800.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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

Biostatistical Data Programmer

Corrona

Waltham, MA • On-site

Full-time

Posted 2 days ago


Job description

Summary of Position:
The Biostatistical Data Programmer will work under the guidance of a Biostatistician/Data Scientist in database management and data sciences to support the development, programming and maintenance of data, tools and processes for the Corrona data lifecycle and business integrity. The Biostatistical Data Programmer will help program, implement, organize and compile an analytic infrastructure and content for reporting and analytics, and in due course operationalizing and providing statistical analyses.
Essential Functions:
• Derives, compiles and formats data and structures for statistical analysis for Corrona analytical departments (e.g. Biostatistics and Data Sciences).
• Write clean, efficient and maintainable import/export data pipelines (across multiple environments) to expedite data requirements and analyses for Corrona business units.
• Completes data operationalization, validation and quality data checks and other required data engineering (e.g. migration) as outlined by the Biostatistical lead.
• Performs requested compilation, analyses and statistical reports for project queries.
• Utilization of various database management tools and systems.
• Based on level of experience, may also assist Biostatistical lead in the programming development of new statistical methodology for measurement and analysis of data, simulation models and other statistical programming as needed.
• Additional duties may be assigned, either temporary or permanent based upon company needs.
Education/Experience:
Required:
• Bachelor's Degree with a least 3 years' experience or Master's Degree plus 1 year experience in Biostatistics, Statistics, Mathematics, Applied Mathematics or Computer science with a concentration in Statistics or Mathematics.
• Previous experience working within a clinical, pharmaceutical, or healthcare data industry.
• Knowledge of data analysis procedures with 2 years of programming experience in R and SAS and/or Stata.
• 2+ years of experience with SQL database queries and programming with demonstrable skills.
• Experience handling both structured and unstructured data from disparate systems, and complicated longitudinal datasets.
Preferred:
• Experience programming in Java or Python.
• Test-based/test-driven development environment.
• Translation of legacy systems and applications into rules/definition based applications.
• Knowledge of distributed data processing and management systems.
• Experience with data analytics platforms, frameworks and/or workflow tools.
• Demonstrated ability to organize and integrate complex systems efficiently and effectively, with a good comprehension of algorithms and performance optimization.
Other:
• Strong working knowledge of MS Office, Word, PowerPoint, Excel, Access, and MS Project.
• Ability to travel domestically and internationally; valid passport required.
• Reliable transportation for local travel.
• Must be highly organized, initiative driven and detail-oriented, with excellent time management skills.
• Must possess strong English communication and writing skills and be able to work independently and as part of a team.
• Completion of Good Clinical Practice (GCP) training (provided by Corrona).
Skills & Requirements Qualifications