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Full Time Data Analyst R Programming Jobs in Albany, NY

The contractor will also perform data management and analytic tasks including researching and documenting technical designs, programming solutions, writing and executing unit test plans, researching ...

Data Analyst 1

Latham, NY · Hybrid

$66K - $85K/yr

Some experience with SAS, SQL, R or Tableau is desired, but not necessary. Strong communication ... full-time in the office and a hybrid telecommuting schedule of up to 50% remote work can be ...

... programming languages (SAS, Python, R, and SQL), and data quality control techniques. Strong ... analytical, and critical thinking skills are also preferred. Additional Comments When reviewing ...

Data Analyst 2 - 88073

Albany, NY · On-site

$86K - $109K/yr

... programming languages (SAS, Python, R, and SQL), and data quality control techniques. Strong ... analytical, and critical thinking skills are also preferred. Additional Comments When reviewing ...

Technical Data Analyst Employment Type: Full-Time FLSA Status: Exempt Location: In-Office Must be a US Citizen or Green Card Holder to be considered. Summary: We are looking for a highly capable ...

Data Engineer

Albany, NY · Hybrid

$100K - $110K/yr

... and analysis needs. Interaction with stakeholders such as data governance workgroups, machine ... This is a full-time role with at least two required days at the Excelsior home office in Albany, NY.

Data Engineer

Albany, NY · On-site

$100K - $110K/yr

... and analysis needs. Interaction with stakeholders such as data governance workgroups, machine ... This is a full-time role with at least two required days at the Excelsior home office in Albany, NY.

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Full Time Data Analyst R Programming information

See Albany, NY salary details

$33.8K

$82.1K

$135K

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

As of Jul 29, 2026, the average yearly pay for full time data analyst r programming in Albany, NY is $82,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,300.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

What are the most commonly searched types of Data Analyst R Programming jobs in Albany, NY? The most popular types of Data Analyst R Programming jobs in Albany, NY are:
What are popular job titles related to Full Time Data Analyst R Programming jobs in Albany, NY? For Full Time Data Analyst R Programming jobs in Albany, NY, the most frequently searched job titles are:
What job categories do people searching Full Time Data Analyst R Programming jobs in Albany, NY look for? The top searched job categories for Full Time Data Analyst R Programming jobs in Albany, NY are:
What cities near Albany, NY are hiring for Full Time Data Analyst R Programming jobs? Cities near Albany, NY with the most Full Time Data Analyst R Programming job openings:
Infographic showing various Full Time Data Analyst R Programming job openings in Albany, NY as of July 2026, with employment types broken down into 67% Full Time, 9% Part Time, and 24% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,051 per year, or $39.4 per hour.
Data Analyst 3

$106K - $131K/yr

Full-time

Posted 15 days ago


Job description

#2431 - Data Analyst 3
Coordinate the analysis of trends in data sources and the assessment of data structures; reviews data sources and reports produced by lower level staff for accuracy; conducts the most difficult analysis of data; meets with business areas to discuss the development of the agency strategy for analytics solutions; oversees the drafting of informational documents on analytics solutions; reviews and suggests improvements to current or planned systems and processes; and supervises a team of Data Analysts 1 and 2.
This item is on the Data Analytics & FirstNY Team in the Bureau of Applications within the Chief Information Office.
Role is to advance enterprise analytics by guiding best practices, setting standards, and overseeing key reports. Build strong partnerships across OSC, foster a collaborative, data-driven culture, ensure robust controls, lead advanced analytics development, manage procurements, and align analytics strategies with business needs.
Position Summary:
Item #: 00755
Bargaining Unit: PS&T - Professional, Scientific, and Technical (PEF)
Division: Chief Information Office
Bureau: Data Analytics & FirstNY
Jurisdictional Class: Non-Competitive
Appointment Type: Contingent-Permanent
Salary Grade: 027
Salary Range: $106,898 - $131,665
Employment Type: FULL TIME
Occupational Category: Other Professional Careers
NY HELPS: No
Travel Percentage: 0%
Work Week: Monday - Friday
Work Hours: 8:00AM - 4:00PM
Shift: First Shift Day
Mandatory Overtime: N/A
Compressed Workweek Allowed: No
Telecommuting Allowed: Yes
How to Apply:
To be considered for this position, you must create a candidate profile or log in to your profile and upload the documents listed below.
  • Resume
  • Cover Letter
  • Minimum Qualifications Template URL: http://osc.ny.gov/files/Jobs/docs/data-analyst-3-mq-template-7-2026.docx
  • College Transcripts

Please ensure item number 00755-JER is included in each document's file name.
Minimum Qualifications:

To be appointed to this position, you must have:
Nine years of experience* in data visualization, and statistical models and data mining tools.
*Educational Substation: An associate's degree may substitute for two years of general experience; or a bachelor's degree may substitute for four years of general experience. A master's degree in data or computer science, informatics, economics, statistics, mathematics, or a related field, may substitute for one year of general experience; or a Ph.D. in these fields may substitute for two years of general experience.
Preferred Qualifications/Knowledge, Skills and Abilities:
  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Master's degree preferred.
  • Five years of experience in data analytics including, but not limited to, data manipulation, modeling, statistical analysis, data visualization, and predictive modeling.
  • Demonstrated experience leading a matrix team spread across multiple business areas, with a focus on data-driven decision-making.
  • Strong knowledge of data analytics tools and programming languages including, but not limited to:
    • Python.
    • R.
    • SQL.
    • Equivalent technologies.
  • Demonstrated experience establishing and leading a Data Analytics Center of Excellence, ensuring adherence to best practices and driving a culture of excellence.
  • Ability to lead and motivate teams to deliver impactful results.
  • Strong collaboration and communication skills.
  • Ability to effectively interact with all levels of the organization and stakeholders.
  • Knowledge of industry trends, emerging technologies, and best practices in data analytics, with a passion for continuous learning and innovation.
  • Demonstrated problem-solving skills with the ability to analyze complex business challenges and develop data-driven solutions.
  • Demonstrated experience in project management including, but not limited to:
    • Project Scheduling, change control, project time management, resource management, and procurement management.
  • Demonstrated experience in technical writing including, but not limited to:
    • Evaluation of written materials and specifications.
    • Evaluation of proposals and statements of work.
    • Writing Skills: Standards and procedures, and Service Level Agreements (SLAs).
  • Demonstrated experience in emotional intelligence.
  • Demonstrated experience in both written and verbal communication of information to stakeholders at all levels of the organization

Contact Information:
If you have questions about this vacancy, please contact:
Division Contact:
Michael Platel
CIO_HR@osc.ny.gov
Human Resources Contact:
Jane Rost
(518) 474-1924
Recruit@osc.ny.gov
The Office of the State Comptroller does not participate in E-Verify or sponsor visa applications.
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 they may be allowed to do so. Upon approval to telecommute, OSC employees may telecommute up to 5 days per pay period.
Reasonable Accommodation
The NYS Office of the State Comptroller provides reasonable accommodation 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.
Some positions may require additional credentials or a background check to verify your identity.