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Afternoon Data Analyst R Programming Jobs in Lindenhurst, NY

The Walt Disney Company

Data Analyst

New York, NY

This role will build strong relationships and partner closely with Product, Engineering, Data ... Experience with Python and/or R for statistical analysis and model building. * Experience with ...

Arsenault Inc

Data Analyst

New York, NY · Remote

Youll work closely with leadership from Product and Engineering, Customer Success and Support, and ... Strong background in SQL, some knowledge of Python or R a plus * Experienced creating dashboards ...

NYULMC

Data Analyst

New York, NY · On-site

$66K - $79K/yr

We have an exciting opportunity to join our team as a Data Analyst. The Brooklyn Data Station at ... Strong quantitative and programming skills (i.e., R, Python, SQL, SAS). Proficiency with data ...

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

... programming (XML, Javascript, or ETL frameworks) * Knowledge of statistics and experience using ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

Sundaysky

Data Analyst

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 ...

Sundaysky

Data Analyst

New York, NY · On-site

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 ...

Ra

Data Analyst

New York, NY · On-site

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 ...

RAパートナーズ

Data Analyst

New York, NY

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 ...

NYULMC

Data Harmonization Analyst

New York, NY · On-site

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 ...

Crossmedia Inc

Sr Data Analyst

New York, NY · On-site

$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 ...

Capital One

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 ...

Capital One

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 ...

Peloton

Staff Data Analyst

New York, NY · Hybrid

Fluency analyzing data with Python and/or R * Familiarity with dbt and modern analytics engineering principles * Highly skilled in both written and verbal communication. You can convey complex ...

Candid Health

Data Analyst

New York, NY · On-site

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

BEOVEXIS

Junior Data Analyst (Remote)

New York, NY · Remote

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... Experience with programming languages such as Python, R Studio, SQL * Familiarity in working with ...

Peloton

Staff Data Analyst

New York, NY · On-site

Fluency analyzing data with Python and/or R * Familiarity with dbt and modern analytics engineering principles * Highly skilled in both written and verbal communication. You can convey complex ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

Company Name: YUPRO Placement Data Analyst This is a contract opportunity. This is a remote ... Partner with operations, product, and engineering teams to solve data-driven problems * Define and ...

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

Afternoon Data Analyst R Programming information

See Lindenhurst, NY salary details

$35K

$85.2K

$140.1K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Lindenhurst, NY is $85,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Lindenhurst, NY look for?

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

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

Cities near Lindenhurst, 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 Lindenhurst, NY as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $85,151 per year, or $40.9 per hour.

Data Analyst

The Walt Disney Company

New York, NY

Full-time

Posted 14 days ago

Walt Disney Company rating

7.6

Company rating: 7.6 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

5th of 52 rated entertainment

Job description

Job Posting Title:

Data Analyst

Req ID:

10158683

Job Description:

The Subscriber Lifecycle & Commerce Analytics team is looking for a Data Analyst who will help to measure, understand, and take action to improve our purchasing and payment experience.Our teammastersexploratory data analysis, advanced reporting, data visualization, and storytelling to deliver actionable insights and provide recommendations to drive business decision-making. This team collaborates with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analyses. This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective experiments around payment processing, fraud prevention, and other commerce domains.

Responsibilities

  • Lead the end-to-end experimentation lifecycle for commerce experiments including payments and fraud prevention. This includes defining success metrics,determiningrequired sample sizes, andvalidatingrandomization.

  • Partner closely with business stakeholders (Product, Data Science, Business Operations, etc.) to analyze user behavior, design and evaluate interventions in payment and monetization, andidentifyways to maximize subscriber retention.

  • Create andmaintainoperational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-service tools.

  • Translate complex business questions into actionable analysis plans, including testable hypotheses, SQL queries, statistical results, impact estimation and measurements, and executive-level business presentations.

  • Partner with Analytics Engineering, Data Engineering, and Data Science teams to build full pipelines on complex transactional data that simplify and clarify these domains for business users and enable advanced modeling and AI uses.

Required Qualifications

  • Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, orotherrelatedfield.

  • 3+ years of hands-on analytical work experience with SQL driving strategic analysis to inform product or business decision making.

  • Strong analytical skills with the ability to apply business strategy to data analysis and recommendations.

  • Strong foundational knowledge of applied statistics, causal inference, andexperimentationmechanics in technology products.

  • Strongproficiencyin SQL (especially Snowflake and/or Databricks) for manipulating large data sets, building data pipelines, and interpreting data trends.

  • Expertise withdata exploration and data visualization tools like Looker and Tableau.

  • Strong technical analysis skills to investigate issues, analyze causes, quickly developpossible solutions, document changes, and communicate organizational impact.

  • Strong experience in documenting data requirements, data strategy, and data rules (standardization, cleansing, and validation).

Desired Qualifications

  • Experience with Python and/or R for statistical analysis and model building.

  • Experience with global billing, payment processing, and/or fraud prevention.

  • Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product.

The hiring range for this position in Santa Monica, CA is $97,500 to $130,700 per year and in New York, NY is $102.100 to $136,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Analytics and Data Science

Job Posting Primary Business:

Content Analytics

Primary Job Posting Category:

Tech Data Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

USA - NY - 7 Hudson Square

Date Posted:

2026-08-24

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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