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Afternoon Data Analyst R Programming Jobs in Queens, 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 ...

... R, and other programming languages relevant to data analysis. 3. Managing data-related projects from initiation to completion. 4. Develop mappings of sources to target databases, including ...

Partner across Engineering, Biz Ops, Insurance Product, Actuarial, and Finance on data projects ... Advanced SQL and working proficiency in Python or R for analysis, scripting, and lightweight ...

Data Analyst

Jersey City, NJ ยท On-site

$100K - $125K/yr

Experience Requirements Requirement Details Total Experience 5+ years in Data Analysis Core Technical Skills Programming Languages โ€ข Python Data Formats โ€ข XML, JSON, Parquet, Avro, Protobuf ...

Senior Data Analyst

New York, NY ยท Hybrid

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Senior Data Analyst

New York, NY ยท On-site

$100K - $125K/yr

You work closely with consultants, data engineers, developers, designers and clients across ... Proficiency in Python, R, or similar language for data analysis and automation * Advanced ...

Lead Data Analyst

New York, NY ยท On-site +1

$130K - $140K/yr

You won't just analyze data; you'll build the tools that shape our strategy. As a Lead Analyst, you ... Advanced skills in SQL and statistical programming (Python or R). Must have experience building and ...

... 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 ...

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

New York, NY ยท On-site

$90K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

We are seeking a motivated Data Analyst to join our team and contribute to an exciting research ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

Data Analyst

New York, NY ยท On-site

$90K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

Data Analyst

New York, NY ยท On-site

$95K - $125K/yr

Partner with software developers, database architects, and data analysts to support data initiatives and ensure reliable data delivery. * Independently address the data requirements of multiple teams ...

Data Analyst

Jersey City, NJ ยท On-site

$80/hr

Data Analyst Location: Jersey City, NJ, USA Duration: 11 Months Bill Rate: $80/hr Job Type: W2 ... Work with data engineers and developers to implement and validate data consolidation ...

Data Analyst

Queens, NY ยท On-site

$65K - $75K/yr

Experience with statistical software, methods, and analysis, with the ability to learn tools such as R. * 1-2 years' experience creating dashboards and visually compelling data visualizations using ...

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Afternoon Data Analyst R Programming information

See Queens, NY salary details

$35.5K

$86.2K

$141.9K

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

As of Jul 6, 2026, the average yearly pay for afternoon data analyst r programming in Queens, NY is $86,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 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 are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Queens, NY? For Afternoon Data Analyst R Programming jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Queens, NY look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Queens, NY are:
What cities near Queens, NY are hiring for Afternoon Data Analyst R Programming jobs? Cities near Queens, NY with the most Afternoon Data Analyst R Programming job openings:

Data Analyst

tignovate

Manhattan, NY โ€ข On-site

Full-time

Posted 28 days ago


Job description

Description

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will play a pivotal role in transforming raw data into actionable insights that will drive strategic decisions and improve business outcomes. Your analytical expertise will allow you to interpret complex datasets, identify trends, and provide recommendations to stakeholders across various departments. You will be responsible for gathering, cleaning, and analyzing data from multiple sources, ensuring its accuracy and relevance. In this fast-paced environment, you will collaborate closely with cross-functional teams to understand their data needs and develop comprehensive reports and dashboards. Additionally, you will utilize statistical techniques to conduct deep-dive analyses, revealing patterns and correlations that may not be immediately apparent. The ideal candidate will have a profound passion for data and problem-solving, with a keen eye for detail and an ability to communicate findings clearly and effectively. If you are looking to make a significant impact through data-driven decision-making, we encourage you to apply for this exciting opportunity where innovation meets analytics.

Responsibilities
  • Collect, clean, and preprocess large datasets from various sources to ensure data integrity.
  • Analyze data using statistical methods to identify trends, patterns, and anomalies that provide actionable insights.
  • Create and maintain comprehensive dashboards and reports to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand their data needs and translate business requirements into analytical solutions.
  • Document processes and methodologies for data analysis and reporting to ensure consistency and accuracy.
  • Present findings and recommendations to stakeholders using data visualization techniques and clear narrative.
  • Stay updated with industry trends and best practices in data analytics to continually improve the analytical process.
Requirements
  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Analyst or in a similar role, with a strong portfolio demonstrating your analytical capabilities.
  • 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 narratives.
  • Solid understanding of statistical analysis techniques and methodologies.
  • Strong problem-solving skills with the ability to analyze complex data and present findings.
  • Excellent communication skills, both written and verbal, with a focus on translating data into actionable insights.