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Afternoon Data Analyst R Programming Jobs in Buffalo, NY

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Data Analyst

Buffalo, NY · On-site

$65K - $85K/yr

Collaborate with business analysts, QA, and developers to ensure accuracy and alignment. * Maintain ... Translate technical concepts (e.g., data integration issues, transformation logic, system ...

Be Seen First

Data Analyst

Buffalo, NY · On-site

$65K - $85K/yr

Collaborate with business analysts, QA, and developers to ensure accuracy and alignment. * Maintain ... Translate technical concepts (e.g., data integration issues, transformation logic, system ...

Data Science Tutor

Buffalo, NY · 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 ...

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

Work with engineering teams to operationalize data science workflows, ensuring scalability and ... Are proficient in Python, R, or JavaScript for data analysis and tool development. * Are familiar ...

Analyze and measure product performance and partner with engineering, QA, and business stakeholders to deliver iterative improvements. * Evaluate data usability, quality, and business value to inform ...

Senior Director, Biostatistics

Boston, NY · On-site

$311K - $388K/yr

They will also collaborate cross-functionally to integrate advanced analytics, data-driven decision ... Expert R programming skills are a plus. * Passion for innovation, AI-driven methodologies, and data ...

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

Programming Languages, including Python, MATLAB, C/C++, R and SAS. * Technical Analyses, including ... Data Science concepts, including statistics and probability, exploratory data analysis (EDA ...

Programming Languages, including Python, MATLAB, C/C++, R and SAS. * Technical Analyses, including ... Data Science concepts, including statistics and probability, exploratory data analysis (EDA ...

Partner with data engineering, analytics, and business teams to align on priorities, data needs ... Strong programming skills in Python or R * Advanced SQL and experience working with large scale ...

Partner with data engineering, analytics, and business teams to align on priorities, data needs ... Strong programming skills in Python or R * Advanced SQL and experience working with large scale ...

Partner with data engineering, analytics, and business teams to align on priorities, data needs ... Strong programming skills in Python or R * Advanced SQL and experience working with large scale ...

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Afternoon Data Analyst R Programming information

See Buffalo, NY salary details

$32.9K

$80.1K

$131.7K

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

As of Jul 6, 2026, the average yearly pay for afternoon data analyst r programming in Buffalo, NY is $80,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $94,000.00 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.

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 Buffalo, NY? The most popular types of Data Analyst R Programming jobs in Buffalo, NY are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Buffalo, NY? For Afternoon Data Analyst R Programming jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Buffalo, NY look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Afternoon Data Analyst R Programming jobs? Cities near Buffalo, NY with the most Afternoon Data Analyst R Programming job openings:
Data Analyst 1 (SG-18), Data Analyst Trainee 2 (SG-16), Data Analyst 1 (SG-18) Item# 00777

Data Analyst 1 (SG-18), Data Analyst Trainee 2 (SG-16), Data Analyst 1 (SG-18) Item# 00777

New York State

Buffalo, NY • On-site, Remote

$53K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

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


New York State rating

7.7

Company rating: 7.7 out of 10

Based on 178 frontline employees who took The Breakroom Quiz

26th of 50 rated states


Job description

Duties Description As a Data Analyst 1, you will use your technical and analytical skills to evaluate a range of government programs and program areas including policy, procedures, operations, objectives and cost effectiveness to determine actual or potential risk. You will research, identify, and evaluate data sources to determine reliability or usability limitations, and collect, manipulate, analyze, and interpret data, and present results to supervision, covering conclusions and recommendations based on evaluations made. Minimum Qualifications To be appointed to Data Analyst Trainee 1 (equated to SG-14), you must have: A bachelor's degree or higher in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field To be appointed to Data Analyst Trainee 2 (equated to SG-16), you must have: A bachelor's degree in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field AND one (1) year of experience in Data Visualization, and Statistical Models and Data Mining tools.

OR A master's degree or higher in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field. To be appointed to Data Analyst 1 (SG-18), you must have: A bachelor's degree in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field AND two (2) year of experience in Data Visualization, and Statistical Models and Data Mining tools. OR A master's degree in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field AND one (1) year of experience in Data Visualization, and Statistical Models and Data Mining tools.

OR A Ph.D. in Data or Computer Science, Informatics, Economics, Statistics, Mathematics, or a related field. Traineeship salary information: The position may be filled at the Data Analyst Trainee 1 equated to SG-14 ($53,764), Data Analyst Trainee 2 equated to SG-16 ($59,994), or full performance Data Analyst 1 SG-18 ($66,951) based on the candidate's education, experience, and previous state service

Salary is nonnegotiable. Candidates hired at the trainee level will be advanced to the full performance Data Analyst 1 SG-18 following successful completion of the traineeship. Additional Comments Preferred Qualifications/Knowledge, skills, and abilities: Proficient at conducting data processing, data formatting, and data analysis.

Have computer programming experience (e.g., R, Python, Java, C++). Strong critical thinking and professional judgement. Strong analytical thinker with excellent troubleshooting and problem-solving skills

Strong attention to detail. Excellent verbal and written communication skills. Demonstrated ability to work both independently as well as collaboratively in a dynamic team environment.

Telecommuting: The Office of the New York State Comptroller (OSC) supports telecommuting where it is reasonable to do so based upon the agency's mission and operational needs. Generally, employees new to OSC will be restricted from telecommuting for at least 8 calendar weeks. After the initial 8 calendar week restriction, if an employee's primary residence location, duties, and work performance are aligned with telecommuting and operational needs they may be allowed to do so.

Generally, OSC employees may telecommute up to 5 days per pay period but may be approved to telecommute less. Reasonable Accommodation: The NYS Office of the State Comptroller provides reasonable accommodations to applicants with disabilities. If you need reasonable accommodation for any part of the application and hiring process, please notify the Division of Human Resources at (518) 474-1924.

Equal Opportunity Employment: The Office of the NYS Comptroller values a workforce with a broad, diverse range of backgrounds and perspectives. All employees are expected to contribute to a professional environment focused on self-evaluation and improvement, as well as acceptance and support of coworkers. The Office of the State Comptroller does not participate in E-Verify or sponsor visa applications.

OSC offers competitive salaries and benefits, and opportunities for advancement, continuing education, and professional development. We provide a professional environment where employees are encouraged to push themselves while maintaining work-life balance. Our generous benefits package includes: A state pension with vesting after five years' service Comprehensive medical, dental and vision insurance available to all employees and their dependents Flexible spending accounts for dependent and health care Productivity Enhancement Program (PEP), allowing eligible employees to exchange previously accrued leave in return for a credit to be applied toward their health insurance Public Service Loan Forgiveness (PSLF) NYS Deferred Compensation plan Access to NY 529 and NY ABLE College Savings Programs, and U.S

Savings Bonds Holiday and paid time off Shift and geographic pay differentials A committed continuous learning environment Informational Brown Bag sessions Wellness at Work Programs to promote employee health and wellness OSC Mentoring Program to network, contribute, and provide an opportunity to strengthen competencies in a variety of areas And much more Some positions may require additional credentials or a background check to verify your identity.


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