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Afternoon Data Analyst R Programming Jobs in Parsippany, NJ

Programming languages like Python or R Required Qualifications: * 8+ years of experience in data analysis and visualization * Strong understanding of commercial lending systems like Loan IQ

Data Analyst

New York, NY ยท 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 ...

Data Analyst

Clark, NJ ยท On-site

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 ยท 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 ...

Data Analyst

New York, NY ยท On-site

$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 ...

Collect, clean, and analyze large datasets from various sources using SQL , Python , and/or R ... Collaborate with cross-functional teams to define data requirements and ensure data integrity.

Associate Data Analyst

New York, NY ยท On-site

$70K - $77.80K/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 ...

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Afternoon Data Analyst R Programming information

See Parsippany, NJ salary details

$34.2K

$83.1K

$136.8K

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

As of May 29, 2026, the average yearly pay for afternoon data analyst r programming in Parsippany, NJ is $83,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $97,500.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 Parsippany, NJ? The most popular types of Data Analyst R Programming jobs in Parsippany, NJ are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Parsippany, NJ? For Afternoon Data Analyst R Programming jobs in Parsippany, NJ, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Parsippany, NJ look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Parsippany, NJ are:
What cities near Parsippany, NJ are hiring for Afternoon Data Analyst R Programming jobs? Cities near Parsippany, NJ with the most Afternoon Data Analyst R Programming job openings:
Data Analyst (SQL Expertise)

Data Analyst (SQL Expertise)

United Hospital Fund

Manhattan, NY โ€ข On-site

$85K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Improving Health Care for Every New Yorker

United Hospital Fund (UHF) is dedicated to creating an effective and equitable healthcare system for all New Yorkers. As an independent nonprofit, we analyze public policy, unite diverse stakeholders, and support innovative programs to improve health and healthcare. Our mission includes breaking down barriers in health policy and delivery to ensure equitable health opportunities. UHFโ€™s emerging new line of Medicaid work seeks to achieve this vision by bridging and advancing quality and equity and supporting the delivery of health-related social needs (HRSN) screening and services.

About the Role:

We are seeking a technically-driven Data Analyst with expertise in SQL to architect and execute data transformations for our Medicaid initiatives. This role is not just about analyzing dataโ€”itโ€™s about building the robust, scalable SQL infrastructure that translates complex claims and HRSN data into actionable insights. You will be responsible for turning "messy" administrative data into clean, analysis-ready datasets that drive health equity for all New Yorkers.

Key Responsibilities:

  • Advanced SQL Development: Architect complex SQL queries and stored procedures to perform high-volume data cleaning, transformation, and aggregation. You will help build and maintain the departmentโ€™s primary codebase, ensuring efficiency when working with millions of records.
  • Data Pipeline & ETL Optimization: Develop automated workflows to detect and address data quality issues. You will be one of the "owners" of data readiness, ensuring that Medicaid claims and other administrative data are structured for rapid analysis.
  • Technical Data Governance: Perform code reviews and implement rigorous version control (Git) and documentation standards. You will ensure the reproducibility of results through advanced programming techniques in SQL.
  • Metric Architecture: Write sophisticated SQL code to calculate quality improvement metrics, equity outcomes, and disparities across physical and behavioral health service delivery.
  • Visualization: Collaborate with stakeholders as needed to translate backend data into front-end visualizations and narratives, bridging the gap between raw data and executive decision-making.

Required Qualifications:

  • SQL Proficiency: Minimum of 2+ years of experience writing advanced SQL (e.g., complex joins, CTEs, window functions, and query optimization) within cloud-based platforms.
  • Data Scale Experience: Proven track record of managing and transforming datasets exceeding one million records.
  • Healthcare Domain Expertise: Deep understanding of health data (Medicaid claims, provider networks, or clinical data) and the specific nuances of healthcare data quality.
  • Engineering Mindset: A passion for writing clean, modular, and reusable code. You should enjoy solving "puzzle-like" data transformation challenges.
  • Reproducibility: Professional experience with Git/GitHub and creating thorough technical documentation.
  • Communication: Ability to explain technical data architecture to non-technical policy experts.

Preferred Qualifications:

  • Education: Bachelorโ€™s degree in Data Science, Computer Science, Health Informatics, or a related quantitative field.
  • R Programming: Ability to create advanced (e.g., nested, higher-order) functions in R.
  • Visualization: Proficiency in Tableau or other data visualization and dashboard tools.
  • Social Determinants Knowledge: Experience working with HRSN (Health-Related Social Needs) or Census data.

Application Details

Applicants can apply for the Data Analyst position by visiting our career page https://uhfnyc.org/about/careers/

Application deadline for first round consideration is April 10, 2026

Salary Range: $85,000 โ€“ $95,000

*This position is externally funded and continued employment is contingent upon the ongoing availability of that funding. It is anticipated to continue through at least March 31, 2027.

Required Documents:

  • Resume
  • Cover letter
  • SQL Programming sample (Please provide a sample that demonstrates your ability to join and transform complex datasets).

Compensation and Benefits: United Hospital Fund offers a competitive salary commensurate with experience combined with generous benefits, including health, dental, voluntary vision, life, and disability insurance; a 403b retirement plan; paid time off; a commuting subsidy; collegial environment.

United Hospital Fund is an Equal Opportunity Employer committed to cultivating a diverse and inclusive workplace. Applicants receive consideration for employment without regard to race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender identity, gender expression, age, physical or mental ability, veteran status, military obligations, citizenship, and marital status. People of color, all faiths and abilities, women, immigrants, veterans, LGBTQIA2S+ people, and those with lived experiences in the communities we serve, are strongly encouraged to apply to join our team.