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Intern Data Analyst R Programming Jobs in New York

Octaura

Intern, Data Engineering

New York, NY

We bring trading capabilities, data and analytics together for the first time on a digitized ... As an intern on the data engineering team you will work directly with our senior data engineers ...

Octaura

Intern, Data Engineering

New York, NY · On-site

We bring trading capabilities, data and analytics together for the first time on a digitized ... As an intern on the data engineering team you will work directly with our senior data engineers ...

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 ...

Ardian

Data Scientist Intern

New York, NY · On-site

Integrated within the data science team, the intern data scientist will work on data projects ... engineering or business school, currently pursuing a degree in data science, Statistics ...

Prevention Links Inc

Student Intern

Jersey City, NJ · On-site

$15.75 - $21/hr

Support family-centered programming and community services * Assist with client intake, referrals ... Utilize Excel and/or databases to organize and analyze data * Assist in developing reports ...

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

Prevention Links Inc

Student Intern

Kearny, NJ · On-site

$15.75 - $21/hr

Support family-centered programming and community services * Assist with client intake, referrals ... Utilize Excel and/or databases to organize and analyze data * Assist in developing reports ...

Prevention Links Inc

Student Intern

Elizabethport, NJ · On-site

$15.25 - $20.25/hr

Support family-centered programming and community services * Assist with client intake, referrals ... Utilize Excel and/or databases to organize and analyze data * Assist in developing reports ...

Prevention Links Inc

Student Intern

Union City, NJ · On-site

$16.50 - $21.75/hr

Support family-centered programming and community services * Assist with client intake, referrals ... Utilize Excel and/or databases to organize and analyze data * Assist in developing reports ...

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All JobsIntern Data Analyst R Programming JobsIntern Data Analyst R Programming Jobs in New York

Intern Data Analyst R Programming information

What is the difference between Intern Data Analyst R Programming vs Intern Data Analyst Python?

AspectIntern Data Analyst R ProgrammingIntern Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, statistical modeling, research projectsData analysis, automation, machine learning tasks
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles are entry-level internships focused on data analysis, requiring programming skills in their respective languages. R is often used for statistical analysis and visualization, while Python is versatile for data manipulation and machine learning. The choice depends on the industry and specific project needs.

What are the most commonly searched types of Data Analyst R Programming jobs in New York? The most popular types of Data Analyst R Programming jobs in New York are:
What cities in New York are hiring for Intern Data Analyst R Programming jobs? Cities in New York with the most Intern Data Analyst R Programming job openings:
Intern Data Analyst R Programming jobs near you

Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Posted 19 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.