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Afternoon Data Analyst R Programming Jobs in Pennsylvania

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · On-site

Process data from the external sources. Perform ad hoc exploratory analyses for publications and ... Ensure programming deliverables are on time and of high quality. Help managing internal contractors ...

Sarian, Inc.

Data Analyst

Pittsburgh, PA · On-site

Data Analyst Location: Pittsburgh, PA Onsite position Fulltime Position *****NO C2C**** JD * Data ... Programming Languages: Familiarity with languages like Python or R. * Data Cleaning and Preparation:

NAVA Software Solutions

Data Analyst

Malvern, PA · On-site

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview ... SQL Development experience (and/or Python development) (SAS or R could also be helpful) * Tableau ...

kgs

Data Analyst

Philadelphia, PA

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

kgs

Data Analyst

Philadelphia, PA

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Koniag, Inc.

Data Analyst

Philadelphia, PA · On-site

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools to support grant administration and program oversight. * Conduct both basic and complex statistical ...

Inficare Technologies

Data Analyst

Malvern, PA · On-site

Job Title: Data Analyst Location: Malvern, PA * Engage with internal partners to understand ... Coding knowledge in SQL, Python, or the equivalent (SAS, R) * Data visualization using Tableau ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible * Perform data validation, testing, and root cause analysis to ...

ASC Engineered Solutions

Data Analyst

Columbia, PA · On-site

Columbia, PA - Plant Description ASC Engineered Solutions is seeking a Data Analyst , a high‑impact, operations‑focused role supporting supply chain excellence across our Columbia, PA ...

ASC Engineered Solutions

Data Analyst

Columbia, PA

ASC Engineered Solutions is seeking a Data Analyst , a highimpact, operationsfocused role supporting supply chain excellence across our Columbia, PA, manufacturing operations. * Analyze supply chain ...

GARGI TECHNOLOGIES INC

Data Analyst

Pennsburg, PA · On-site

Collaborate with cross-functional teams including engineering, product, and business stakeholders ... Perform exploratory data analysis (EDA) and feature engineering. * Monitor model performance and ...

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Afternoon Data Analyst R Programming information

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

Sr R & SAS Programmer

Atorus Research

Chesterbrook, PA • On-site

Contractor

Posted 17 days ago

Job description

Sr SAS & R Programmer
onsite in the Chesterbrook, PA area 3 days/week
SUMMARY
The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development (R&D) organization who supports Statistical programming work in accordance with corporate standard operating procedures (SOPs), GCP, 21 CFR and ICH guidance.
RESPONSIBILITIES
Program and validate derived datasets, tables, figures, listings. Process data from the external sources.
Perform ad hoc exploratory analyses for publications and programming support other functions of Research and Development or other organizations.
Oversee programing work/deliverables from CROs.
Contribute to the design/implementation/review of Case Report Form, Data Transfer Specification, Statistical Analysis Plan, SDTM/ADaM Specification documents, Define packages.
Program and validate CDISC compliant deliveries for the electronic submissions.
Support in the creation of supporting documentation for submissions.
Ensure programming deliverables are on time and of high quality.
Help managing internal contractors and external vendors.
Participate in development of departmental working instructions and guidelines.
Help in creation of enhanced functions/macros and utilities.
REQUIREMENTS
Bachelor or Master degree in Computer Science, Mathematics, Engineering, Medical or related discipline.
BS with more than 5 or MS with 3 years of experience in statistical programming (SAS, R) in the pharmaceutical industry.
Working knowledge of SAS and its various components.
Knowledge of R programming in clinical trials
Familiarity of the drug development process.
Knowledge of CDISC standards and electronic submission requirements.
Strong SAS and SAS Macro language skills.
R programming skills in clinical trials
Strong knowledge of industry standards.
Ability to work on data integrations (ISS and ISE).
Strong oral and written communication skills. Ability to communicate details of the analysis to other team members with less technical experience.
Ability to manage the timeline well and work in multi-project environment.

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