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Afternoon Data Analyst R Programming Jobs in Utica, NY

Nycm

Data Scientist (Hybrid)

Edmeston, NY · Hybrid

$86K - $143K/yr

Perform advanced exploratory analysis, feature engineering, model evaluation, and statistical ... Proficiency in SQL, Python or R (Python preferred), and machine learning techniques. * Strong ...

NYCM

Data Scientist (Hybrid)

Edmeston, NY · On-site

$86K - $143K/yr

Perform advanced exploratory analysis, feature engineering, model evaluation, and statistical ... Proficiency in SQL, Python or R (Python preferred), and machine learning techniques. * Strong ...

Nycm

Associate Data Scientist (Hybrid)

Edmeston, NY · Hybrid

$73K - $123K/yr

Experience with Python (preferred) or R for data analysis and modeling * Familiarity with statistical methods and machine learning techniques * Experience with data visualization tools (e.g., Tableau ...

NYCM

Associate Data Scientist (Hybrid)

Edmeston, NY · On-site

$73K - $123K/yr

Experience with Python (preferred) or R for data analysis and modeling * Familiarity with statistical methods and machine learning techniques * Experience with data visualization tools (e.g., Tableau ...

Agile Defense

Data Engineer

Annsville, NY · On-site

$145K - $170K/yr

Years of Experience 3+ years of relevant data engineering, software development, data analytics, or enterprise-platform experience. Required Skills Experience with Python and SQL; experience ...

Bah

University - Data Scientist

Rome, NY · On-site

$62K - $141K/yr

Experience with statistical and general-purpose programming languages for data analysis * Knowledge of structured and unstructured data sources * Ability to obtain a Secret clearance * Scheduled to ...

CACI

Data Management Engineer

Annsville, NY · On-site

$118K - $142K/yr

Job Title: Data Management Engineer Job Category: Engineering Time Type: Full time Minimum ... IW-related data and analysis. Support development of Common Operating Pictures (COPs) and ...

Pursuit Aerospace

Lead Data Scientist

Whitesboro, NY · On-site

$144K - $198K/yr

Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology * Engineer trustworthy data: turn large, messy operational data into ...

Pursuit Aerospace

Lead Data Scientist

Whitesboro, NY · On-site

Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology * Engineer trustworthy data: turn large, messy operational data into ...

CACI

Data Pipeline Engineer, Senior

Annsville, NY · On-site

$110K - $149K/yr

Data Pipeline Engineer, Senior Job Category: Information Technology Time Type: Full time Minimum ... analysts, business intelligence specialists, and mission partners to develop automated data ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Utica, NY

Afternoon Data Analyst R Programming information

See Utica, NY salary details

$34.7K

$84.4K

$138.9K

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

As of Sep 6, 2026, the average yearly pay for afternoon data analyst r programming in Utica, NY is $84,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $99,100.00 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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Utica, NY?

For Afternoon Data Analyst R Programming jobs in Utica, NY, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Utica, NY look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Utica, NY are:

What cities near Utica, NY are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Utica, NY with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Utica, NY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $84,427 per year, or $40.6 per hour.

Data Scientist (Hybrid)

Nycm

Edmeston, NY • Hybrid

$86K - $143K/yr

Full-time

Posted 24 days ago

Job description

The Data Scientist independently applies advanced analytics and machine learning techniques to solve complex business problems and support organizational decision-making. This role is responsible for developing and maintaining predictive models, analyzing complex datasets, and delivering actionable insights aligned with business objectives. The Data Scientist collaborates with cross-functional stakeholders to support analytical initiatives and recommend data-driven approaches to business challenges. This position may provide technical guidance to Associate Data Scientists and supports analytical best practices within the department.

Duties & Responsibilities:

  • Design, develop, test, deploy, and maintain predictive and analytical models.
  • Perform advanced exploratory analysis, feature engineering, model evaluation, and statistical analysis to support analytical initiatives.
  • Manage model lifecycle activities including validation, monitoring, documentation, and periodic retraining to ensure model effectiveness and reliability.
  • Collaborate with data engineers and business partners to support scalable analytical workflows and processes.
  • Design and evaluate experiments (e.g., A/B tests) to measure model and business performance.
  • Analyze complex datasets to develop actionable insights and recommendations that support operational and business decisions.
  • Support the identification of analytical opportunities and contribute to data-driven solutions for business challenges.
  • Document analytical processes, model assumptions, and results to support reproducibility and governance standards.
  • Contribute to knowledge sharing and provide guidance to Associate Data Scientists as appropriate.
  • Stay informed on emerging data science tools, techniques, and industry best practices.

Requirements: 

  • Bachelor’s degree in applied mathematics, data science/analytics, computer science, statistics, or related field, and 4 years of experience in insurance, analytics or data science.

Qualifications/Skills:

  • Proficiency in SQL, Python or R (Python preferred), and machine learning techniques.
  • Strong analytical, problem-solving, and organizational skills.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Ability to explain technical concepts and analytical findings to non-technical audiences.
  • Understanding of statistical analysis, model evaluation, and responsible modeling practices.
  • Experience with data visualization tools such as Tableau preferred.
  • Familiarity with software engineering, cloud platforms, or database systems is a plus.

Market Range: 14 / Exempt / 40 hours per week / Hybrid - 2 days in office

Salary: $86,136 - $143,560

Accepting applications through: 9/3/26

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