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Afternoon Data Analyst R Programming Jobs in Pennsylvania

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required) * Experience working with data from CRM systems, e.g., Salesforce * Familiarity with underwriting and ...

The Analyst would be responsible for supporting methods development and data analysis for a variety ... Proficient with statistical programming software and languages (e.g., SAS, STATA, or R) * Excellent ...

The Data Analyst Intern will report directly to the Business Intelligence Manager and is ... Experience with SQL, R, and Python. * Reporting - Familiar with modern business intelligence tools ...

Work with FBS Data Engineers to resolve any data discrepancies * Discover and analyze data trends ... Minimum of 3-5 years of experience with knowledge of SQL, R or Python, Qlik Sense and Alteryx ...

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background ...

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background ...

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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:
Data Analyst and Investigation Engineer (biocompatibility)

Data Analyst and Investigation Engineer (biocompatibility)

Philips

Murrysville, PA • On-site

$102K - $163K/yr

Full-time

Retirement, PTO

Posted 2 days ago


Philips rating

8.1

Company rating: 8.1 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

41st of 139 rated electronics manufacturers


Job description

Job TitleData Analyst and Investigation Engineer (biocompatibility)Job Description

Your role:

  • Lead advanced scientific data analysis across biocompatibility and toxicological domains, synthesizing complex datasets spanning material science, laboratory studies, and regulatory inputs. Apply rigorous statistical methods (e.g., regression, DOE, reliability analysis) to generate defensible insights that support biological safety and product evaluation decisions.
  • Design and operationalize scalable data infrastructure and analytical pipelines using SQL, Python, R, and related tools to ensure efficient data processing and reuse. Build automation workflows and maintain structured datasets that link materials, chemistry, biological endpoints, and reprocessing outcomes for consistent, end-to-end analysis.
  • Develop and deliver data visualization and reporting solutions that translate complex scientific findings into clear, actionable insights for cross-functional stakeholders. Create dashboards, semantic models, and self-service tools that enable engineers, toxicologists, and regulatory teams to make informed, data-driven decisions.
  • Support regulatory and quality-driven deliverables and validation activities, including BEPs, BERs, TRAs, and cleaning/disinfection assessments. Ensure all analytical outputs are traceable, reproducible, audit-ready, and aligned with quality system standards and documentation best practices.
  • Drive data governance, security, and compliance across analytical systems and workflows, partnering closely with Information Security, Quality, and Regulatory teams. Enforce best practices in data handling, software validation, AI usage, and risk management while supporting secure deployment, monitoring, and remediation of analytical tools and platforms.

You're the right fit if:

  • You've acquired 2+ years of experience in data analytics, with the ability to analyze, interpret, and merge large datasets across multiple systems or platforms.
  • Your skills include:
    • Proficiency in Excel with a demonstrated ability to perform advanced formulas & functions (VLOOKUP/XLOOKUP), pivot tables & data analysis, and data automation & workflow efficiency (macros/tools like Power Query).
    • Experience using Python (or similar languages) to develop tools for data manipulation and analysis.
    • An understanding of SAP (or similar ERP) and experience building dashboards with Power BI or Tableau - preferred.
  • You have a Bachelor's or Master's Degree in an Engineering discipline, Data Analytics/Data Science or equivalent field of study.
  • You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
  • You're a strong communicator and team player.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company's facilities. Field roles are most effectively done outside of the company's main facilities, generally at the customers' or suppliers' locations.

This is an office role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.

  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.
  • Learn more about our culture.

Philips Transparency Details

The pay range for this position in PA is $102,000 to $163,000.

The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.

In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more. Details about our benefits can be found here.

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.

Additional Information

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Murrysville, PA.

#ConnectedCare

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates. Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.


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