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Entry Level Data Analyst R Programming Jobs in New York, NY

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

Building proactive analysis through data mining to identify trends and opportunities for product ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

DIRECTV Advertising is looking for a data analyst to make an immediate impact by supporting the ... Taking on analytical projects and ad-hoc requests as needed Qualifications: * Entry level ...

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

You are powerful in data science, business reporting, and statistical analysis. * You are ... You are an expertise with R, SAS, SPSS. * You have worked in Healthcare. * You are amazing in using ...

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ...

This position focuses on analyzing source data structures, developing source-to-target mapping ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

Sr Data Analyst

New York, NY

$94K - $118K/yr

The Analytics group (Redbox) is passionate about data analysis, measurement, and storytelling. We ... Familiarity with programming languages is a plus (R, Python, dbt, SQL) Location: This role is ...

Senior Data Analyst - Commercial At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Senior Data Analyst - Commercial At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Senior Data Analyst - Commercial

New York, NY · On-site

$94K - $118K/yr

Senior Data Analyst - Commercial At Capital One, data is at the center of everything we do. When we ... Engineering, Mathematics discipline * Scripting experience in (Python, R, Spark, and SQL) * Strong ...

Growth Data Analyst

Manhattan, NY · On-site

$125 - $150/hr

You don't need to be a full-stack engineer, but adding components to a React app shouldn't stop you cold. * (Plus) Degree or graduate study in data science or analytics * (Plus) Experience with Hex ...

... develop data analysis algorithms Engage developers to share their opinions, knowledge, and ... recommendations to meet the deliverables Contribute to technical solutions and implement software ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Demonstrated ability to take analytics/reporting/data science projects from start to finish - including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations

Data Analyst

Manhattan, NY · On-site

$50 - $55/hr

Data Analyst, Hybrid ( New York, NY). Start date is ASAP for this 6-month contract position. Job ... engineering, and marketing functions Minimum Requirements: * Proficiency in SQL, required for data ...

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Entry Level Data Analyst R Programming information

See New York, NY salary details

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$36

$67

How much do entry level data analyst r programming jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level data analyst r programming in New York, NY is $36.02, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $40.24 per hour, depending on experience, location, and employer.

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in New York, NY?

The most popular types of Data Analyst R Programming jobs in New York, NY are:

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For Entry Level Data Analyst R Programming jobs in New York, NY, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Analyst R Programming jobs in New York, NY are:

What cities near New York, NY are hiring for Entry Level Data Analyst R Programming jobs?

Cities near New York, NY with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in New York, NY as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,927 per year, or $36 per hour.
Sundaysky
Software Development • 51 - 200 employees

Full-time

Re-posted 10 days ago


Job description

SundaySky has a unique and exciting opportunity to join an analytics group for a rapidly growing startup. Our product combines digital technology, advertising, consumer relationship management, and big data for the most recognizable brand names across multiple industries. We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success.

The ideal candidate approaches analysis as a path to strategic thinking that culminates in actionable insights. If you're the kind of person who obsesses over details, thrives in a dynamic, fast-paced collaborative startup environment, wants an opportunity to make a significant impact and jumps at the opportunity to take on new challenges, SundaySky is the place for you. In a fast paced, ever-changing environment, you will be involved in the following - Building proactive analysis through data mining to identify trends and opportunities for product optimization.

Finding areas of opportunity to drive revenue in a digital advertising campaign. Proving value to strategic clients by developing data-driven stories in dynamic presentations. Discovering best practices to reduce subjectivity, display industry leadership, and further develop our product.

Developing a reporting platform to provide a unified view of results through dashboards and reports that will be accessed by all levels within SundaySky. Maintaining data integrity working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify both data and operational issues. Packaging and presenting analytical findings and clearly communicating (both written and verbal) program results and complex concepts to success managers, marketing, sales team, and the end client in both statistical and non-statistical terms.

Supporting sales and success management teams by providing data-driven industry overviews, information on research products, assisting with trouble-shooting issues, and answering questions that may arise from data issues and reports. Become an expert in industry, customer and SundaySky measurement methodologies. Requirements: The ideal candidate will have the following experience and skillset: Minimum 3 years of experience in business analytics or digital advertising environment Competency in statistical analytic techniques such as: time series data analysis, forecasting segmentation, univariate & multivariate statistical analysis, various metrics and key performance indicators, research & test design, significance testing, hypothesis testing, variance and growth calculations, return on investment Project management skills, including the abilities to handle multiple projects in a fast-paced environment and work effectively with colleagues and clients in diverse departments, geographic locations, and time zones.

Balances desire for quantitative rigor with realities of inconsistent business data Critical thinking: capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives Experience with the following tools: MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint BI & Analytics Tools (Tableau, MicroStrategy, SAS) Web analytics tools: Google Analytics, Omniture, DART, Coremetrics, etc. Open source statistical software: R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with data visualization and/or an eye for design Proactive, independent thinker with high energy and positive attitude Bachelor's degree (B.A. or B.Sc.) or equivalent

Experience with ecommerce / digital advertising best practices Willingness to take coaching for continuous personal development Experience working with a distributed team of Sales managers, project managers and technical support. Must be authorized to work in the US