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Full Time Data Analyst R Programming Jobs in Manhattan, NY

WFN Team Indus US Test Client 2

Data Analyst

Manhattan, NY · On-site

$1.0K - $2.0K/yr

Strong proficiency in R and SAS programming languages. Preferred Qualifications: * Experience in the agriculture industry or related fields. * Familiarity with advanced data analysis techniques and ...

Prophecy Technologies

Data Analyst

Jersey City, NJ · On-site

Programming languages like Python or R Required Qualifications: * 8+ years of experience in data analysis and visualization * Strong understanding of commercial lending systems like Loan IQ

Clay Labs

Data Analyst

New York, NY · On-site

$130K - $170K/yr

You'll join a team of experienced data scientists and analytics engineers, while partnering closely ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

Burjline Builders

Data Analyst

New York, NY · On-site

Splendid Farms Location: New York, New York, United States Employment Type: FULL_TIME About ... programming languages (e.g., Python, R). * A degree in Mathematics, Economics, Computer Science ...

Konrad

Data Analyst

New York, NY · On-site

$75K - $100K/yr

Programming experience in Python, Bash scripting, R or related language * Working proficiency in SQL * Foundational understanding of data modeling and analytics best practices * Experience defining ...

Columbia University

Associate Data Analyst

New York, NY · On-site

$70K - $77K/yr

Provide support for internal ad-hoc reporting and data analytics requests and various internal ... Experienced with SQL programming and Python/R. * Outstanding attention to detail, as well as ...

PitchBook Data

Data Analyst

New York, NY · On-site

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

tignovate

Data Analyst

Manhattan, NY

Proficient in data analysis tools such as SQL, Excel, and statistical software (e.g., R, Python). * Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual ...

Inizio Partners

Data Analyst

New York, NY · On-site +1

$130K - $135K/yr

Partner with data engineering to: * Investigate root causes of data issues and bugs * Prioritize ... High attention to detail and a proactive ownership mindset Responsibilities Location * Full-time ...

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All JobsFull Time Data Analyst R Programming JobsFull Time Data Analyst R Programming Jobs in Manhattan, NY

Full Time Data Analyst R Programming information

See Manhattan, NY salary details

$37.5K

$91.2K

$150.1K

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

As of Jun 20, 2026, the average yearly pay for full time data analyst r programming in Manhattan, NY is $91,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $107,100.00 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.

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Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Posted 20 days ago

Job description

About the Role:

As a Data Analyst at our Agriculture company, your main objective will be to analyze and interpret complex data sets to provide valuable insights and recommendations. You will be responsible for collecting, cleaning, and organizing large volumes of data from various sources. By utilizing your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau, you will create visually appealing and informative reports and dashboards. Your analysis will play a crucial role in identifying trends, patterns, and opportunities for improvement in our agricultural operations.

Minimum Qualifications:

  • Bachelor's degree in a relevant field such as Data Science, Statistics, or Mathematics.
  • Proven experience in data analysis and visualization.
  • Proficiency in data cleaning techniques and working with pivot tables.
  • Strong programming skills in R and familiarity with SAS.
  • Excellent problem-solving and critical thinking abilities.

Preferred Qualifications:

  • Master's degree in Data Science or a related field.
  • Experience in the agriculture industry or a similar field.
  • Knowledge of data extraction techniques and tools.
  • Familiarity with machine learning algorithms and predictive modeling.
  • Certifications in data analysis or related areas.

Responsibilities:

  • Collect, clean, and organize large volumes of data from multiple sources.
  • Analyze and interpret complex data sets to identify trends, patterns, and insights.
  • Create visually appealing and informative reports and dashboards using data visualization tools such as Power BI and Tableau.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
  • Stay up-to-date with the latest industry trends and advancements in data analysis techniques.

Skills:

In this role, your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau will be essential. You will use data cleaning techniques to ensure the accuracy and integrity of the collected data. Pivot tables will help you summarize and analyze large datasets efficiently. R programming language and SAS will be used for statistical analysis and modeling. Data visualization tools like Power BI and Tableau will enable you to create visually appealing reports and dashboards to communicate insights effectively. Your skills will be crucial in providing data-driven recommendations and identifying opportunities for improvement in our agricultural operations.