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Afternoon Data Analyst R Programming Jobs in Lindenhurst, NY

Data Analyst - Remote

New York, NY · On-site +1

  • Retirement

Solid experience with data analysis tools and programming languages such as Python (pandas, NumPy) or R * Understanding of key healthcare concepts (e.g., reimbursement models, value-based care, risk ...

... 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 ...

Data Analyst

New York, NY · On-site

$95K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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 ...

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 [Remote] Job Overview: We are seeking a talented and experienced Data Analyst to join our team on a full-time basis. As a Data Analyst, you will be responsible for collecting, organizing ...

Data Harmonization Analyst

New York, NY · On-site

  • Medical

  • Retirement

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 ...

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 ...

Data Analyst, Product Analytics

New York, NY · On-site

$124K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Work closely with data scientists and data engineers to improve data availability, integrity ... Mental Health Mornings/Afternoons : Dedicated weekly flexible time for self care, whether that ...

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 ...

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 ...

Regulatory Data Analyst

New York, NY · On-site

$79K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Familiarity with or interest in Python, SQL, R, or similar programming languages; curiosity about ... Category Data Analytics Family Group Work Shift First (United States of America) The Federal ...

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 ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Lindenhurst, NY salary details

$35K

$85.2K

$140.1K

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

As of Aug 18, 2026, the average yearly pay for afternoon data analyst r programming in Lindenhurst, NY is $85,151.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $99,900.00 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Lindenhurst, NY look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Lindenhurst, NY are:

What cities near Lindenhurst, NY are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Lindenhurst, NY with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Lindenhurst, NY as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $85,151 per year, or $40.9 per hour.

Data Analyst - Remote

UnitedHealth Group

New York, NY • On-site, Remote

Full-time

Retirement

Posted 6 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 888 rated healthcare providers


Job description

Optum NY, is seeking a Data Analyst  to join our team anywhere within the U.S. Optum is a clinician-led care organization that is changing the way clinicians work and live.  


As a member of the Optum Care Delivery team, you'll be an integral part of our vision to make healthcare better for everyone.


At Optum, you'll have the clinical resources, data and support of a global organization behind you so you can help your patients live healthier lives. We believe you deserve an exceptional career, and will empower you to live your best life at work and at home. Experience the fulfillment of advancing the health of your community with the excitement of contributing new practice ideas and initiatives that could help improve care for millions of patients across the country. Because together, we have the power to make health care better for everyone. Join us and discover how rewarding medicine can be whileCaring. Connecting. Growing together.  


The Data Analyst plays a critical role in supporting affordability initiatives for a risk-bearing entities within Optum Health's East markets. This individual will leverage healthcare data, including medical, pharmacy, provider, and enrollment datasets, to analyze cost drivers, identify savings opportunities, and support strategic decision-making.


The ideal candidate combines solid analytical and technical expertise with the ability to translate complex findings into actionable insights that improve cost efficiency, care delivery, and financial performance.


You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


Primary Responsibilities:

  • Analyze healthcare cost and utilization data (e.g., medical, pharmacy, provider, and enrollment) to identify key cost drivers and affordability opportunities
  • Develop and maintain recurring reports, dashboards, and performance metrics related to healthcare spending and utilization trends
  • Partner with cross-functional teams (finance, actuarial, clinical, network, and operations) to support affordability initiatives and strategic decision-making
  • Conduct deep-dive analyses to investigate cost variation, high-cost populations, and emerging trends
  • Support development of business cases and financial impact analyses for cost-saving initiatives (e.g., care management programs, network changes, benefit design)
  • Translate complex datasets into clear, actionable insights and communicate findings to both technical and non-technical stakeholders
  • Assist in building and validating analytical models to forecast cost trends and evaluate intervention effectiveness
  • Perform data extraction, transformation, and validation to ensure accuracy, consistency, and integrity of datasets
  • Identify opportunities to improve efficiency and reduce waste in healthcare delivery through data-driven insights
  • Collaborate with data engineering or IT teams to enhance data quality, accessibility, and reporting capabilities
  • Monitor performance of affordability initiatives and track savings against targets
  • Support ad hoc analyses for leadership, including strategic questions related to cost, utilization, and financial performance
  • Apply best practices in data governance, documentation, and compliance, including handling of sensitive healthcare data (e.g., HIPAA)
  • Continuously improve analytical processes, tools, and methodologies to increase efficiency and insight generation


You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • 5 years of experience in data analysis, preferably within healthcare, health insurance, or cost/claims analytics
  • Experience building dashboards and visualizations using tools like Tableau, Power BI, or similar
  • Experience working with large, messy datasets and performing data cleaning, validation, and transformation
  • Experience working in a regulated environment and handling sensitive data (HIPAA compliance knowledge preferred)
  • Solid experience with data analysis tools and programming languages such as Python (pandas, NumPy) or R
  • Understanding of key healthcare concepts (e.g., reimbursement models, value-based care, risk adjustment, provider networks)
  • Familiarity with healthcare data structures such as claims (medical, pharmacy), EHR data, or eligibility files
  • Proficiency in SQL for querying large, complex datasets (e.g., claims, enrollment, provider data)
  • Demonstrated ability to analyze healthcare cost drivers, utilization patterns, and/or pricing variation
  • Demonstrated ability to translate complex analytical findings into clear, actionable insights for both technical and non-technical stakeholders
  • Demonstrated solid problem-solving skills with attention to detail and data accuracy
  • Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced environment


Preferred Qualifications:

  • Experience using statistical or analytical programming languages such as Python or R for advanced analysis and modeling
  • Experience operating in a highly matrixed, multiregion healthcare organization, influencing without direct authority
  • Deep experience supporting Medicare Advantage, Medicare Risk Adjustment, or valuebased care programs at a regional or enterprise level
  • Solid familiarity with healthcare data sources, including claims, encounters, eligibility, provider, and clinical data
  • Demonstrated exposure to financial modeling, forecasting, healthcare economics, or actuarial concepts
  • Demonstrated solid communication skills, including data storytelling and presentation abilities


*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy


Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 - $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.


Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.


At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.


UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.


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