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Afternoon Data Analyst R Programming Jobs in New York

The analyst should have excellent R programming skills. We are especially seeking an analyst to ... Producing data analysis for and providing feedback on data visualizations and descriptions in ...

The analyst should have excellent R programming skills. We are especially seeking an analyst to ... Producing data analysis for and providing feedback on data visualizations and descriptions in ...

Data Analyst

New York, NY · On-site

$130K - $170K/yr

You'll join a team of experienced data scientists and analytics engineers, while partnering closely ... Use SQL as your primary tool, with Python or R in a notebook environment like Hex when helpful, to ...

Will be in the R&I group (Research and Innovation) *Primary functions: data architecture, data ... Comprehension of DevOps and Agile development and application to data centric architecture and ...

Data Analyst

New York, NY · Hybrid

$75K - $100K/yr

Programming experience in Python, Bash scripting, R or related language * Working proficiency in SQL * Foundational understanding of data modeling and analytics best practices * Experience defining ...

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 ...

We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion ...

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

Associate Data Analyst

New York, NY · On-site

$70K - $77K/yr

Provide support for internal ad-hoc reporting and data analytics requests and various internal ... Experienced with SQL programming and Python/R. * Outstanding attention to detail, as well as ...

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

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 ...

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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:
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:
Data Analyst

Full-time

Medical, Retirement

Posted 16 days ago


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

16th of 890 rated healthcare providers


Job description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, X and Instagram.

Position Summary:
We have an exciting opportunity to join our team as a Data Analyst.
The Department of Population Health at NYU Grossman School of Medicine seeks a Data Analyst to support the City Health Dashboard and Congressional District Health Dashboard projects. The analyst will support two national interactive websites that track health and health-related metrics, the City Health Dashboard (www.cityhealthdashboard.com) and Congressional District Health Dashboard (www.congressionaldistricthealthdashboard.org). This will involve working with data at the federal, congressional district, county, city, census tract, and census block levels; aggregating geographic data; and rigorously calculating population health metrics that align with administrative boundaries. The analyst should have excellent R programming skills. We are especially seeking an analyst to support our geospatial analysis work.
We are a dynamic and diverse team that values collaboration, growth, and passion for public health. We strive for a supportive environment that encourages team members to maintain high standards for the quality of their work while also maintaining a balance with other life priorities.

Job Responsibilities:

  • Retrieving, analyzing, and evaluating health metric data parsed to various geographic boundaries for use in project websites with attention to issues of sample size, bias, and timeliness 
  • Exploring new geospatial calculation methods, monitoring administrative boundary updates, and generating geographic boundaries for website release
  • Documenting workflows and methodological challenges to generating health metric estimates across various geographies
  • Regularly presenting analytic processes and results to other team members
  • Producing data analysis for and providing feedback on data visualizations and descriptions in communications materials, blogs, journal articles, reports, and policy briefs, including drafting sections of such materials as needed
  • Providing background research, code development, and workflow testing for the team's data infrastructure systems, and maintaining existing R functions and SQL databases
  • Providing background research, obtaining and wrangling data, writing code and conducting metric validation as part of the team's new metric research process
  • Other administrative, analytic, or research tasks as necessary

Minimum Qualifications:
To qualify you must have a A masters degree in a related field (biostatistics, epidemiology, public health) or equivalent combination of education and experience
Skill and experience in the R statistical programming software
Familiarity with commonly used public health metrics
Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and incorporated places, census tracts, etc.)
Experience in R tidyverse packages, writing functions in R, SQL, and Git
Demonstrated interest in public health and health equity
Ability to perform basic statistical and descriptive analyses and interpret the results
Ability and interest in working respectfully, reliably, and collaboratively with other team
members on multiple projects simultaneously.
Ability to be detail-oriented, organized, and take initiative on projects
This is a hybrid position. Candidates must be willing and able to commute to mid-town
Manhattan at least once per week

Preferred Qualifications:
2-3 years' work, internship, or project experience in an analytics role
Familiarity with major US federal datasets
Ability to read manuscripts and technical documents and assess the validity of methodological approaches
Experience and interest in working with various types of geospatial data and performing common spatial manipulations (intersects, centroids, reprojections, buffers, etc.)
An attitude of creative and collective problem solving and openness to new ideas
Ability to be detail-oriented, organized, and take initiative on projects

Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $70,481.60 - $83,475.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here


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