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Afternoon Data Analyst R Programming Jobs in New York

New York Medical College

Data Analyst

Valhalla, NY · On-site

$32 - $40/hr

Overview We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem ... Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective communication and ...

Georgia IT Inc

Technical Data Analyst

Warren, NJ · On-site

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.) * Strong analytical and problem-solving skills with attention to detail. * Excellent communication and ...

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 ...

JConnect Infotech

Tech Data Analyst

Passaic, NJ · On-site

... 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 ...

Lemonade

Data Analyst

New York, NY · On-site

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 ...

Konrad

Senior Data Analyst

New York, NY · 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 ...

Konrad

Senior Data Analyst

New York, NY · 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 ...

Twin Health

Lead Data Analyst

New York, NY · 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 ...

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 ...

Healthix

Data Analyst

New York, NY · 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 ...

NYULMC

Data Analyst - Model Credibility

New York, NY · On-site

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 ...

Healthix

Data Analyst

New York, NY · 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 ...

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Afternoon Data Analyst R Programming information

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 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:
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What cities in New York are hiring for Afternoon Data Analyst R Programming jobs? Cities in New York with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Data Analyst

Data Analyst

New York Medical College

Valhalla, NY • On-site

$32 - $40/hr

Per diem

Posted 5 days ago

Job description

Overview
We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem role. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to identify trends, patterns, and insights that will inform business decisions. This role involves collaborating with various departments to understand their data needs, developing reports and dashboards, and ensuring data accuracy and integrity.
Responsibilities
  • Data Collection and Cleaning: Gather, clean, and preprocess datasets from various sources ensuring data integrity and quality.
  • Statistical Analysis: Conduct statistical analyses to identify trends, patterns, and correlations within the data.
  • Collaboration: Collaborate with cross-functional teams including faculty, students, and researchers to address analytical challenges and support data-driven initiatives.
  • Presentation: Present findings and recommendations to management and other stakeholders.

Qualifications
  • A Master's degree in Statistics, Mathematics, Epidemiology, Computer Science, Economics, or related fields.
  • Experience in statistical analysis and data manipulation.
  • Proficiency in statistical software such as Stata, SAS, R, and SPSS.
  • Effective communication and collaboration skills.
  • Ability to work independently and as part of a team in a fast-paced environment.

Minimum Salary
USD $32.00/Hr.
Maximum Salary
USD $40.00/Hr.

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