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Afternoon Data Analyst R Programming Jobs in New York

Qusscorp

Data Analyst

Morris Plains, NJ

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

Curemed Health

Data Analyst

Jersey City, NJ

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

Socket.dev

Senior Data Analyst - Commercial

Manhattan, NY · On-site

$121.30 - $138.40/hr

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 ...

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 ...

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 ...

TransUnion

Senior Data Analyst

White Plains, NY · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

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 ...

Transunion

Senior Data Analyst

White Plains, NY · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

Unchain Data

Growth Data Analyst

Manhattan, NY · On-site

$90 - $170/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 ...

Trans Union LLC

Senior Data Analyst

White Plains, NY · On-site

$90K - $150K/yr

You will be working with other Data Analytics Team members as well as Engineers and Data Scientists ... Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB ...

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 ...

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 ...

Capgemini America, Inc.

Data Analyst

Manhattan, NY · On-site

Support testing, production deployments, and ongoing operational support Required Qualifications * 6+ years of experience in Data Analysis, Data Engineering, Data Integration, or related fields

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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 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 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 are popular job titles related to Afternoon Data Analyst R Programming jobs in New York?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in New York look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in New York are:

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

Qusscorp

Morris Plains, NJ

Full-time

Posted 12 days ago

Job description

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements

  • Proven working experience as a data analyst or business data analyst
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics

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