2

Remote Data Analyst R Programming Jobs in New York

Senior Data Analyst (NYC Hybrid)

New York, NY · Remote

$88K - $111.10K/yr

... engineering, or medical economics, having delivered actionable insights from big data analytics ... Experience with statistical analysis software (Python/pandas, R, etc.) The compensation range ...

Analyst, Data Exchange

Manhattan, NY · Remote

$76.80K - $121K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO) Position Summary: As a member of ... Proficient in SQL, JSON, Java, R, Excel, and other data visualization tools * Track record of ...

... R programming experience to create graphical representations or simulations of data as well as ... analysis of that data. - Other job duties include designing statistical models, formulating ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

This role sits at the intersection of data engineering, applied analytics, and product development ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

next page

Showing results 1-20

Remote Data Analyst R Programming information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

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 Remote Data Analyst R Programming jobs in New York? For Remote Data Analyst R Programming jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in New York look for? The top searched job categories for Remote Data Analyst R Programming jobs in New York are:
What cities in New York are hiring for Remote Data Analyst R Programming jobs? Cities in New York with the most Remote Data Analyst R Programming job openings:

Data Analyst (French/English bilingual)

HR1Systems

Jersey City, NJ • On-site, Remote

Full-time

PTO

Posted 7 days ago


Job description

Description
Primary/Essential Duties and Key Responsibilities:
  • Collaborate with clients and vendors to understand people-related business problems, and gathering relevant people data to analyze
  • Utilize appropriate data analytics methodologies to support clients on various reporting needs
  • Support clients on designing strategy models that explain or predicting outcomes related to hiring, productivity, engagement, and attritions well as Performance manager, Succession Planning, etc.
  • Prepare and deliver presentations with rich data visualizations and meaningful business insights and conclusions
  • Data-driven and highly analytical, you can translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making within HR and with executives and leaders across the business
  • You are able to align research priorities with business priorities and take a customer-focused mindset in working with clients and vendors
  • Leverage academic expertise and knowledge of the HR industry and people analytics trends to address practical business challenges
  • Exercise traits of adaptability and good judgment to support organizational agility
  • Be a constant learner, active listener, and teacher to advance data science, people analytics, and our organization

Required Qualifications:
  • 3-5+ years managing projects, preferably in HR, HRIS or Payroll, or related areas.
  • Excellent analytical, communication (verbal and written), organizational, time management, problem-solving, and decision-making skills, as well as, presentation skills
  • Basic, Intermediate and/or Proficiant French Canadian Speaking, Writing and Conversationalist (Must have professional writing skills level)
  • Experience in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data
  • Experience with tools and languages such as advanced Excel (Power Query), Power BI, SQL, R, Python, and IBM Cognos Analytics, Infomatica
  • Understanding of the external people analytics landscape and trends
  • Ability to establish and maintain a high level of customer trust and confidence.
  • Solid project management skills, and the ability to multitask and manage multiple small to large projects in a cross-functional environment.
  • Strong teamwork and interpersonal skills at all levels of management.
  • Ability to set priorities, meet deadlines, and work independently
  • Ability to work in a fast-paced environment and handle multiple priorities
  • Motivated, self-directed, results-oriented, and customer-focused
  • Detail oriented and possess a desire for quality
  • Experience in managing distributed team members, as well as, work in a team environment

BENEFITS
  • Paid Time Off
  • Bonus
  • Paid USA Holiday
  • Flexible hours (standard 8am-5pm EST)
  • Remote work

Requirements
  • Basic, Intermediate and/or Proficiant French Canadian Speaking, Writing and Conversationalist (Must have professional writing skills level)