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Afternoon Data Analyst R Programming Jobs in Buffalo, NY

Senior Media Analyst

Boston, NY ยท On-site

$83K - $110K/yr

... and analytics that investors use to make crucial decisions. At FactSet, our values are the ... Work closely with engineering, QA, UX, other content developers as well as specialized data teams ...

... data quality for informed decision-making - Conducting exploratory and descriptive analysis to inform strategic decisions - Developing predictive models using programming languages such as R and ...

... cause analysis โ€ข Collaborate with data engineering to productionize models using Google Cloud ... R โ€ข Advanced SQL and experience working with large scale datasets โ€ข Experience with machine ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

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 ...

Data Modeler

Buffalo, NY ยท On-site

$53 - $68.75/hr

Our company provides application analysis, design, development and programming, software ... Data Modeler JD: * Requirement analysis skill * Discussion with solution architects and business ...

Sr. Business Analyst

Buffalo, NY ยท On-site

$80 - $92/hr

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... Support Developers as they work through FRDs and re-build reports using Alteryx * Support test ...

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 ...

Data Architect

Buffalo, NY ยท On-site

$61.75 - $79.50/hr

Our company provides application analysis, design, development and programming, software ... OLAP data modeling skills Hands on experience in ER Studio / Erwin Reviewing with enterprise ...

EHS Data Manager

Buffalo, NY ยท On-site

$80K - $109K/yr

Collaborate with IT, engineering, and system administrators to maintain and enhance the EHS data ecosystem (e.g., Intelex, Power BI, SharePoint). * Support EHS initiatives through targeted analytics ...

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

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

EHS Data Manager

Buffalo, NY ยท Hybrid

$80K - $109K/yr

Collaborate with IT, engineering, and system administrators to maintain and enhance the EHS data ecosystem (e.g., Intelex, Power BI, SharePoint). * Support EHS initiatives through targeted analytics ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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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:
Senior Media Analyst

Senior Media Analyst

Factset

Boston, NY โ€ข On-site

$83K - $110K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


Job description

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access

to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations.

Your Team's Impact

Deep Sector Technology, Media, and Telecommunications (TMT) team is looking for a Media Data Analyst for FactSet's Media data offering. You'll lead the evolution of our Media data offering - maintaining and enhancing our existing Media-sector datasets, integrating new sources into our client-facing applications, data feeds and APIs, and translating client workflows into best-in-class product features and workflow solutions.

What You'll Do

Responsibilities:

  • Participate directly and indirectly in the extraction, cleaning, and transformation of large, complex datasets, ensuring accuracy, consistency, and timeliness.
  • Take control of our data products, utilizing human-in-the-loop data curation and validation software to ensure our products evolve with changing standards and reporting requirements, while also delivering timely, accurate and complete products
  • Partner with sales/consulting, data providers, and clients across FactSet's user base to understand their workflows, pain points, and feature requests; position our offering vs. their current needs and competitor solutions.
  • Translate qualitative and quantitative client insights into clear product requirements, specifications, and user stories that delight and exceed client expectations.
  • Work closely with engineering, QA, UX, other content developers as well as specialized data teams to deliver value to clients.
  • Mentor and train team members in content collection and integration processes, product workflows, and best practices.
  • Actively monitor and the competitive landscape for data partnership or acquisition opportunities to strengthen FactSet's Media offering.
  • Identify areas of opportunity where FactSet can own and operate data collection and reduce reliance on third-party data spend.

What We're Looking For

Requirements:

  • Bachelor's degree: Finance, Economics, Computer Science, Statistics, Engineering (Master's preferred)
  • 5+ years of relevant experience, within the Media or broader TMT sectors with focus on Media required
  • Strong proficiency in data analysis, modeling, and visualization tools (e.g., Excel, Power BI/Tableau, SQL, Python) for data extraction, transformation, analysis, and workflow automation
  • Hands-on experience preparing data for statistical and machine learning models.
  • Familiarity with distributed data systems and cloud platforms (any of AWS S3/EC2/Redshift, Azure, Databricks, Snowflake)
  • Experience building dashboards and data visualizations (e.g., Tableau, Power BI, or similar)
  • Demonstrated analytical, quantitative, and organizational skills with the ability to synthesize complex data into clear insights
  • Solid written and verbal communication skills, including the ability to translate data findings into actionable business narratives
  • Proven ability to manage multiple projects and shifting priorities in a dynamic environment
  • Team-oriented mindset with a hands-on, solution-driven approach
  • CFA/CPA designation or capital markets experience a plus
  • Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

What's In ItForYou

At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being aFactSettermeans:

  • The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
  • Support foryour total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, and family leave.
  • Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
  • A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.
  • Career progression planning with dedicated time each month for learning and development.
  • Business Resource Groupsopento all employees that serve as a catalyst for connection, growth, and belonging. Learn more about our benefitshere.

Salary is just onecomponentof our compensation package and is based on several factors including but not limited to education, work experience, and certifications.

The budgeted salary for this role in the states of Colorado, Connecticut, and New York is $104,000-$130,000.

Company Overview:

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more atwww.factset.comand follow us onXandLinkedIn.

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify