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Entry Level Data Analyst R Programming Jobs in West Chester, PA

Data Analyst, MDM

Plymouth Meeting, PA · On-site +1

$71K - $87K/yr

Conduct data quality assessments in Google BigQuery and connected source systems, identifying anomalies, gaps, and integrity violations. • Analytics Engineering & Data Validation * Develop and ...

New

Data Science Tutor

Chester, PA · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Showing results 21-40

Entry Level Data Analyst R Programming information

See West Chester, PA salary details

$12

$31

$58

How much do entry level data analyst r programming jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level data analyst r programming in West Chester, PA is $31.18, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $34.81 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in West Chester, PA?

The most popular types of Data Analyst R Programming jobs in West Chester, PA are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in West Chester, PA?

For Entry Level Data Analyst R Programming jobs in West Chester, PA, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Analyst R Programming jobs in West Chester, PA are:

What cities near West Chester, PA are hiring for Entry Level Data Analyst R Programming jobs?

Cities near West Chester, PA with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in West Chester, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $64,858 per year, or $31.2 per hour.

Data Analyst, MDM

ECRI INSTITUTE

Plymouth Meeting, PA • On-site, Remote

$71K - $87K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

ABOUT ECRI
ECRI is an independent, nonprofit healthcare safety organization advancing evidence-based, effective healthcare globally. For more than 50 years, we've helped healthcare leaders make smarter, safer decisions - free from vendor influence or conflicting interests. Today, ECRI is home to a family of trusted safety brands, including the Institute for Safe Medication Practices (ISMP) and The Just Culture Company, extending our reach across patient safety, medication safety, and safety culture transformation. Join us, and your work will directly protect patients worldwide.
WHAT WE OFFER
  • Comprehensive healthcare coverage: Medical, dental, vision, life insurance, disability coverage, critical illness insurance, and more.
  • Retirement savings: Employer-matching Retirement Savings Plan.
  • Culture of Belonging: Participate in employee groups to learn from, growth with, and support colleagues in our collective success.
  • Purpose beyond the paycheck: 16 paid hours annually through ECRI Cares to volunteer with preapproved charities.

POSITION SUMMARY
Support ECRI's mission of advancing effective, evidence-based healthcare worldwide by performing data analysis, ensuring data quality, and contributing to the development of enterprise-wide business intelligence (BI) solutions. The Data Analyst partners with IT, business stakeholders, and cross-functional teams to deliver actionable insights, maintain high data integrity, and support the operation and evolution of ECRI's data management platforms.
This role provides hands-on support across ECRI's Master Data Management (MDM) platform (Semarchy), content operations analytics (Contentful), Power BI reporting, and enterprise data governance activities. It serves as a key operational contributor to the Data, Analytics & Applied AI team, enabling data-driven decision-making and sustaining the quality and reliability of ECRI's data assets.
ESSENTIAL FUNCTIONS
Reasonable Accommodation Statement:
To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactory. Reasonable accommodations may be made to help enable qualified individuals with disabilities to perform the essential functions.
Essential Functions Statement(s):
Master Data Management Platform Operations & Support
  • Support ongoing MDM platform configuration, build activities, and release deployments in collaboration with senior team members using standard development tools (e.g., code editors, version control).
  • Assist with data stewardship workflows, including reviewing match and merge candidates, resolving survivorship exceptions, and validating master records.
  • Develop and maintain basic ETL scripts and data transformation logic to support source system ingestion and master data processing.
  • Monitor and troubleshoot MDM data integration pipelines, escalating issues and coordinating resolution with IT.
  • Document MDM business rules, data mappings, and configuration changes to sustain an accurate and current data dictionary.
  • Support onboarding of additional source systems into the master domain as ECRI's integration footprint evolves.
Content Operations Analytics
  • Develop and maintain metrics and usage analytics for ECRI's content assets using command-line interface (CLI) tooling and scripting to extract, transform, and report on content data.
  • Profile and validate content metadata to support taxonomy migration initiatives and related content classification efforts.
  • Automate routine content data extraction and reporting tasks through CLI-based workflows, reducing manual effort and improving consistency.
Power BI Reporting & Analytics Delivery
  • Participate in Power BI report development, assisting with the design, build, and maintenance of dashboards and reports across business domains.
  • Support the Power BI Enterprise Hub by contributing to workspace organization, dataset management, and report lifecycle activities.
  • Assist with data modeling, DAX measure development, and semantic layer construction for new reporting requirements.
  • Fulfill ad hoc data pull and analysis requests from business leaders that do not yet warrant a formal reporting engagement.
  • Conduct data quality assessments in Google BigQuery and connected source systems, identifying anomalies, gaps, and integrity violations.
Analytics Engineering & Data Validation
  • Develop and maintain reusable BigQuery views and/or SQL-based data models that serve as the foundation for Power BI reporting and self-service analytics.
  • Own and expand the data validation test suite for key reporting datasets, including row count checks, null analysis, referential integrity, and business logic verification.
  • Support data integration, migration, and transformation activities as part of enterprise data and ongoing application modernization and/or transformation initiatives.
  • Prepare and validate structured datasets for analytical, AI/ML, and evaluation use cases.
Collaboration & Continuous Improvement
  • Provide subject matter expertise on data sources, data flows, and reporting best practices to stakeholders and team members.
  • Proactively identify opportunities to enhance data processes, reporting capabilities, and data literacy across the organization.
  • Stay current with industry trends and best practices in data analytics, BI, data quality, and MDM.

Additional Responsibilities:

Other duties, as assigned.
Accountability Metrics:

Requirements which meet the needs of the market as defined by the business

On time high quality delivery of projects.
QUALIFICATIONS
Experience:

2-4 years of experience in data analysis, business intelligence, data quality, or a related field.

Hands-on experience with SQL and a cloud data warehouse (e.g., BigQuery or equivalent) for data extraction, profiling, and validation.

Demonstrated experience with Power BI, including report development, basic data modeling, and workspace interaction.

Experience with data quality assessment, data cleansing, and remediation techniques.

Exposure to Master Data Management (MDM) platforms or comparable data management systems is highly desirable.

Experience working with CLI-based tooling or scripting environments for data extraction, automation, or reporting tasks preferred.

Beginner-to-intermediate familiarity with ETL concepts and lightweight data transformation scripting preferred.

Experience working in healthcare, life sciences, or a regulated industry preferred.

Familiarity with data governance principles, data cataloging, or metadata management is a plus.

Experience using Jira or similar issue tracking tools to manage tasks and releases.
Education:

Bachelor's degree in Business Administration, Computer Science, Information Systems or related field or equivalent work experience
Computer Skills:
Required
  • Proficient with SQL.
  • Proficient with Microsoft Power BI for report development and dataset interaction.
  • Proficient with Visual Studio Code or a comparable code editor for script development and ETL authoring.
  • Familiarity with command-line interface (CLI) tooling and shell scripting (e.g., Bash, Python) for data extraction and automation tasks.
  • Proficient with Atlassian Jira and Confluence or comparable tools.
  • Proficient with Microsoft Office 365 Suite (Word, Excel, PowerPoint).
Preferred:
  • Experience with Google BigQuery
  • Working knowledge of Semarchy SDP or a comparable MDM platform
  • Familiarity with Contentful or a comparable headless CMS and its CLI tooling
  • Exposure to basic ETL concepts and lightweight data pipeline development

Certification & Licenses:

Microsoft Certified: Power BI Data Analyst Associate (preferred)

Certified Health Data Analyst (CHDA) (optional)
POSITION COMPENSATION
The salary range for new employees in this position is $71,658 - $87,781.00, based on background, experience, and skills. In addition, new employees in this position are eligible for all of our benefit offerings, including, but not limited to, health and welfare benefits, 403(B) retirement savings, and paid time off (PTO).
PHYSICAL DEMANDS
This position operates in a remote environment and requires the individual to remain in a stationary position, whether sitting or standing, before a desk or other fixed workspace, most of their workday. In addition, this position requires the individual to occasionally move about their workspace to access and inspect work-related materials, such as file cabinets with physical files and standard office equipment. This position requires the ability to operate standard office equipment, including, but not limited to, a laptop, keyboard, mouse, webcam, and phone, as well as effectively communicate information and ideas to a wide variety of audiences in written and oral form.
ADA STATEMENT
ECRI is committed to equal employment opportunities and compliance with the Americans with Disabilities Act (ADA). ECRI values diversity and inclusivity, and we strive to provide a work environment that accommodates employees with disabilities. If you require reasonable accommodations to participate in the application or interview process, please inform us so that we can provide the necessary support. ECRI believes that everyone should have an equal opportunity to contribute their skills and talents, and we are dedicated to making our workplace accessible and inclusive for all.
EEO STATEMENT
ECRI is committed to providing equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or veteran status. We value diversity and believe that a diverse workforce enhances our ability to succeed. ECRI complies with applicable federal, state, and local laws governing nondiscrimination in employment and prohibits any form of discrimination or harassment based on these protected characteristics.
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