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Afternoon Data Analyst R Programming Jobs in Rochester, NY

This leader is responsible for the day-to-day management and supervision of Quality Engineers and Data Analysts and is also accountable for developing talent, strengthening scientific and compliance ...

Data Scientist

Rochester, NY · On-site +1

$86K - $132K/yr

Engages in feature engineering and applies multiple modeling techniques to address business ... Proficient with Python, R, SQL, and GitHub, with a track record of manipulating data for analytics.

Quality Data & Analytics Engineer

Fairport, NY · On-site

$68K - $88K/yr

The Division Quality Data & Analytics Engineer bridges industrial engineering, manufacturing, and ... Python or R - basic scripting for data manipulation or automation is a plus Education & Experience:

The Division Quality Data & Analytics Engineer bridges industrial engineering, manufacturing, and ... Python or R - basic scripting for data manipulation or automation is a plus Education & Experience:

The Division Quality Data & Analytics Engineer bridges industrial engineering, manufacturing, and ... Python or R -- basic scripting for data manipulation or automation is a plus Education & Experience:

... programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or ...

Data Architect - Remote

Rochester, NY · On-site +1

$63 - $81/hr

... R, or comparable languages for large-scale data processing and analytics * Proven experience ... Experience with CI/CD, DevOps, and infrastructure-as-code practices (e.g., Azure DevOps, Terraform ...

Data Architect - Remote

Rochester, NY · Remote

$65.25 - $84/hr

... R, or comparable languages for large-scale data processing and analytics * Proven experience ... Experience with CI/CD, DevOps, and infrastructure-as-code practices (e.g., Azure DevOps, Terraform ...

... programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms. * 5+ Years of Experience with data manipulation and analysis ...

Data Architect - Remote

Rochester, NY · Remote

$63 - $81/hr

... R, or comparable languages for large-scale data processing and analytics * Proven experience ... Experience with CI/CD, DevOps, and infrastructure-as-code practices (e.g., Azure DevOps, Terraform ...

Professional, Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

The Data Engineer interfaces with Senior Data Engineers. analysts, business customers (internal or external) to gather and define requirements for solutions. Learns data resources and knows when, how ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

... programming languages such as Python or R. • 5+ Years of Experience with Strong knowledge of ... with data manipulation and analysis libraries like pandas and NumPy • Limited immigration ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Sr Professional, Business Analysis

Rochester, NY · On-site

$91K - $117K/yr

... R, and deliver executive-ready Tableau dashboards to optimize company-wide staffing and workflow ... Data Engineering & ETL: Develop and manage automated ETL pipelines, validation checks, and error ...

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Afternoon Data Analyst R Programming information

See Rochester, NY salary details

$33.5K

$81.5K

$134.2K

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

As of Jun 7, 2026, the average yearly pay for afternoon data analyst r programming in Rochester, NY is $81,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 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.

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 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 Rochester, NY? The most popular types of Data Analyst R Programming jobs in Rochester, NY are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Rochester, NY look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Afternoon Data Analyst R Programming jobs? Cities near Rochester, NY with the most Afternoon Data Analyst R Programming job openings:
Research Data Engineer I

$26.90 - $37.66/hr

Other

Posted 5 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

94th of 534 rated colleges and universities


Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

220 Hutchison Rd, Rochester, New York, United States of America, 14620

Opening:

Worker Subtype:

Regular

Time Type:

Time as Reported / Per Diem

Scheduled Weekly Hours:

As Scheduled

Department:

400295 Cancer Center Admin M&D

Work Shift:

UR - Day (United States of America)

Range:

UR URG 109 H

Compensation Range:

$26.90 - $37.66

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

With moderate supervision and guidance, supports the implementation and maintenance of analytical and data science-based software and data pipelines, enabling scientific workflows. Provides focused support in enhancing the data collection frameworks that integrate structured and unstructured data from multiple sources and systems to enable the used of data in specific research study teams. Maintains and supports the development of infrastructure systems (e.g., data warehouses, data lakes, etc.), including data access APIs. Receives guidance from and acts in support of a team aimed at providing robust, scalable software solutions to the research enterprise.

JOB DUTIES AND RESPONSIBILITIES:

  • Maintains and modifies Extract Transform and Load (ETL) data pipelines and overall data architecture to accommodate a growing amount of data from a variety of large research data sources.
  • Works with team members to support the conversion of business and technical requirements into professional software solutions. Ensures timely completion of tasks while managing multiple assignments, project timelines and business user expectations.
  • Supports the implementation of custom, research project-specific data workflow solutions for data collection, management, reporting and analytics. Contributes to the scientific research.
  • Adheres to defined application development life-cycle practices, including but not limited to, requirements gathering, writing test plans, source code management, peer code review and quality assurance through unit/system/user acceptance testing.
  • Participates in specification, implementation and execution of testing procedures to ensure quality of deliverables, system and data workflow reliability.
  • Produces and maintains comprehensive technical documentation for all systems under the Engineer's responsibilities.
  • Keeps abreast of current application developments through continuing education, professional reading, online forums, conferences, workshops and professional groups.
  • Other duties as assigned.

QUALIFICATIONS:

  • Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline required.
  • 1 year of relevant experience required including experience in technology-intensive environments and programming experience in SQL or equivalent combination of education and experience.
  • Programming experience, ideally in Java and Python and/or R; Experience with laboratory data management systems (e.g. biospecimen software, electronic laboratory notebooks, LabKey Server, REDCap);
  • Experience with Linux environments, Docker, and cloud technologies (e.g. AWS, Microsoft Azure, Google Cloud Platform).
  • Familiarity with data analytics and statistical methods;
  • Expertise of software engineering best practices such as version control and software release management;
  • Strong analytical and problem-solving skills;
  • Strong organizational skills;
  • Ability to work with others in a matrix management environment;
  • Excellent communication skills for describing progress and challenges to stakeholders;
  • Attention to detail, patience and a positive, customer-centric attitude;
  • Strong technical presentation skills;
  • Demonstrated ability to develop proficiency with unfamiliar toolsets.
  • Familiarity with genomics, metagenomics, flow cytometry or imaging files, metadata, and data standards preferred.

Schedule

8 AM-5 PM

The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University's mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status,or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.


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