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Data Analyst R Programming Jobs in Buffalo, NY (NOW HIRING)

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Technical Data Analyst

Buffalo, NY · On-site

$51K - $85K/yr

Support BI Developer with internal QlikView requests such as dashboards, reports, and provide end ... Analyze data from multiple sources (QlikView, Salesforce, Epic, Excel, SQL) for report and ...

Data Strategy-Manager

Buffalo, NY · On-site

$99K - $232K/yr

... 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 ...

Alteryx Analyst (REMOTE)

Buffalo, NY · On-site +1

$63K - $109K/yr

Support Developers through creation of Alteryx workflows and reports * Support test execution and ... NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ...

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

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 ...

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 ...

Alteryx Analyst (REMOTE)

Buffalo, NY · On-site +1

$63K - $109K/yr

Support Developers through creation of Alteryx workflows and reports * Support test execution and ... NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible ...

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Data Analyst R Programming information

See Buffalo, NY salary details

$32.9K

$80.1K

$131.7K

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

As of Jul 29, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Data Analyst R Programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

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 Data Analyst R Programming jobs in Buffalo, NY? For Data Analyst R Programming jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Data Analyst R Programming jobs in Buffalo, NY look for? The top searched job categories for Data Analyst R Programming jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Data Analyst R Programming jobs? Cities near Buffalo, NY with the most Data Analyst R Programming job openings:
Infographic showing various Data Analyst R Programming job openings in Buffalo, NY as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $80,051 per year, or $38.5 per hour.

Full-time

Posted 13 days ago


Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.