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Afternoon Data Analyst R Programming Jobs in Dunellen, NJ

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 ...

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... Experience with programming languages such as Python, R Studio, SQL * Familiarity in working with ...

Data Analyst

New York, NY ยท Remote

$55 - $60/hr

Company Name: YUPRO Placement Data Analyst This is a contract opportunity. This is a remote ... Partner with operations, product, and engineering teams to solve data-driven problems * Define and ...

Job Requirements Data/Business Analyst with 10+ years of experience JD ... Business & Technical Analyst/Engineer to bridge the gap between complex accounting processes and ...

Data Analyst . Duration: 3+ Years Location: Brooklyn, New York 11201. REQ ID: 06022017-2DA PROJECT ... Ability to facilitate sessions and one-on-one meetings with developers and managers, meet deadlines ...

Data Analyst

New York, NY ยท On-site +1

$97K/yr

Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software * Analyzing trends and changes in areas related to ...

Data Analyst

Newark, NJ ยท On-site

They are seeking a Data Analyst to provide analytical and functional support in business plan ... or Engineering or equivalent experience. โ€ข Excellent Microsoft Excel skills required. โ€ข High ...

Data Analyst

Skillman, NJ ยท On-site

$18 - $23/hr

The person selected for our data analyst position must have the requisite technical and ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Data Analyst

Skillman, NJ ยท On-site

$18 - $23/hr

The person selected for our data analyst position must have the requisite technical and ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Looking to have someone who fits the profile of either a Data Analyst or a Data Engineer refactor the ETL pipelines from one system into the next one. Need people who are able to work independently ...

Data Analyst

Skillman, NJ ยท On-site

$18 - $23/hr

The person selected for our data analyst position must have the requisite technical and ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Senior Data Analyst

New York, NY ยท On-site

$94K - $118K/yr

Partner with Engineering to improve data pipelines and resolve discrepancies. * Contribute to ... R, or similar for statistical modeling and advanced analysis. * Strong understanding of SaaS ...

Data Analyst

Newark, NJ ยท On-site

Position: Data Analyst Location: Newark NJ Duration: 1 year Provide analytical and functional ... Engineering or equivalent experience. Excellent Microsoft Excel skills required. High level of ...

AVP, Technical Data Analyst

Warren, NJ ยท On-site

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

Working closely with Product, Engineering, Client Success, and other data professionals, the Data Analyst Lead will establish scalable reporting solutions, improve data quality and reliability, and ...

New

This newly formed role will collaborate with developers, data owners, governance leads and business analysts within the IT and CDAO departments as well as other stakeholders aligned with the ...

AVP, Technical Data Analyst

Warren, NJ ยท Hybrid

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

AVP, Technical Data Analyst

Warren, NJ ยท Hybrid

$175K - $210K/yr

Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). * Experience working in Cloud native technologies * Strong experience in Data Modeling, Data Governance ...

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ... Programming experience, Python in particular, is a plus

Showing results 41-60

Afternoon Data Analyst R Programming information

See Dunellen, NJ salary details

$35.8K

$87.1K

$143.3K

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

As of Sep 11, 2026, the average yearly pay for afternoon data analyst r programming in Dunellen, NJ is $87,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $102,200.00 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 cities near Dunellen, NJ are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Dunellen, NJ with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Dunellen, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $87,094 per year, or $41.9 per hour.

Staff Data Analyst

New York, NY โ€ข On-site

Peloton
Business Management Consultingย โ€ขย 201 - 500 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Key responsibilities

  • Partner with stakeholders to define, build, and maintain a metric architecture and create documentation to build consensus.

  • Lead weekly reviews of key metrics, perform root-cause analysis on operational anomalies, and report findings to the company.

  • Collaborate with cross-functional teams to design, evaluate, and interpret operational experiments and process changes.


Job description

ABOUT THE ROLE
We are seeking a Staff Data Analyst to serve as a strategic partner between our Global Operations & Technology organization and our Enterprise Data team. This role will be the voice of data for our Supply Chain and Global Member Support organizations. While serving as a hands-on analyst and strategic partner, you will also have the opportunity to work within and learn from a larger data team.
YOUR DAILY IMPACT AT PELOTON
  • Partner with peer stakeholders, Directors, and VPs to define, build, and maintain a robust metric architecture. Consider North Star metrics, leading vs. lagging indicators, counter-metrics, and operational guardrails. Create clear documentation and work to build consensus
  • Lead a dedicated workstream that reviews key metrics weekly, reporting to the broader company the vital changes, trends, and strategic opportunities the metrics reveal. Perform root-cause analysis on operational anomalies, separating true operational signals from noise, seasonality, or data pipeline breaks. Know when a scrappy analysis is sufficient and when a more nuanced approach is necessary
  • Shape and deliver clear business narratives with appropriate nuance. Translate complex and ambiguous data into clear and concise recommendations
  • Collaborate with cross-functional partners on measurement strategy and data collection for pilot projects and new company-wide initiatives
  • Decompose ambiguous, high-level business goals and strategic questions into structured, testable hypotheses and concrete analytical frameworks that drive decisions
  • Partner with tech and operations teams to design, evaluate, and interpret operational experiments and process changes
  • Become an in-house expert on Peloton's supply chain and member support data, while maintaining a broad awareness of other data domains across the company
  • Evangelize the data our team has made available to the Global Ops and Tech teams. Ensure the organization is aware of what's available and knows how to use it through dedicated documentation and training materials. Identify and act on gaps and opportunities in data adoption
  • Develop strong partnerships with the technology stakeholders who own the operational systems driving Peloton's supply chain. Think big-picture as you document the broader data ecosystem, mapping out exactly how all of these disparate pieces and systems connect. Ensure we are in lockstep with Tech teams on planning and roadmap initiatives
YOU BRING TO PELOTON
  • 7+ years of data analytics experience, with a proven track record operating at a senior level within a complex organization. Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets. Practical knowledge of A/B testing and quasi-experimental design (e.g., difference-in-differences)
  • Advanced SQL proficiency and advanced experience with Looker (or similar enterprise BI tools). Highly fluent in spreadsheets (Excel/Google Sheets)
  • 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 technical concepts in straightforward ways to non-technical executives and stakeholders
  • You possess exceptional attention to detail and organizational skills. You can seamlessly context-switch between high-level architectural documentation and day-to-day triage, balancing multiple workstreams and priorities
  • You know how to establish trusted analytics and can confidently guide teams away from misleading metrics. You are comfortable with ambiguity and have a strategic mindset for solving complex, unstructured problems
  • Experience working in deep partnership with cross-functional teams-both technical and non-technical
  • The ideal candidate demonstrates the following:
    • You are highly analytical and think deeply about how complex systems talk to each other
    • You love asking questions, explaining your findings, and communicating insights in a way that empowers leadership to make data-driven decisions
    • You are a scrappy, critical thinker who thrives on connecting the dots across complex systems
    • You know when to simplify a problem for clarity and when a complex deep-dive is warranted
    • While you will balance hands-on technical work with stakeholder management, your true strength lies in your ability to collaborate, communicate, and transform data into actionable business narratives
BONUS
  • Experience automating routine tasks with AI
  • Start-up experience a plus
  • Fluency in supply chain concepts and data

#LI-DD1
#LI-Hybrid
The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton's competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.
As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:
  • Medical, dental and vision insurance
  • Generous paid time off policy
  • Short-term and long-term disability
  • Access to mental health services
  • 401k, tuition reimbursement and student loan paydown plans
  • Employee Stock Purchase Plan
  • Fertility and adoption support and up to 18 weeks of paid parental leave
  • Child care and family care discounts
  • Free access to Peloton Digital App and apparel and product discounts
  • Commuter benefits and Citi Bike Discount
  • Pet insurance and so much more!

Base Salary Range
$188,800-$231,950 USD
ABOUT PELOTON:
Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com.
Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment. If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com.
At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.
Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.
If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence.
Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.