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Afternoon Data Analyst R Programming Jobs in Newark, NJ

Data Analyst

Manhattan, NY ยท On-site

$90K - $125K/yr

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 ...

Work with Data Engineering team as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics * Using customer value segmentation and customer lifetime ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

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Data Analyst

New York, NY ยท On-site

$95K - $125K/yr

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 ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Data Analyst

Long Island City, NY ยท On-site

$81K - $135K/yr

Work with Data Engineering team as required to implement data pipelines and tools to ensure efficient and seamless execution of analytics * Using customer value segmentation and customer lifetime ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Job Responsibilities Monthly collection, preprocessing, and analysis of all cost and usage data for ... programming languages: R, SQL, Python, Scala, Java, C++, Ruby, PowerShell, Go Educational ...

Data Analyst

New York, NY ยท On-site +1

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... Your Role: We're looking for a Data Analyst to help make Alpaca data-driven from the ground up. You ...

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Data Analyst

New York, NY ยท On-site +1

$130K - $135K/yr

Own analytics-ready datasets and dashboards from requirements through delivery and adoption * Lead ... Partner with data engineering to: * Investigate root causes of data issues and bugs * Prioritize ...

Data Analyst Req ID: 10150773 Technology is at the heart of Disney's past, present, and future ... Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to ...

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 ...

Senior Data Analyst

New York, NY ยท On-site

$94K - $118K/yr

... programming and analysis skills using R, Stata, Python and/or SAS Experience working in academic or public health research settings, with contribution to scientific publications. Willingness and ...

Senior Data Analyst

Manhattan, NY ยท On-site

$94K - $119K/yr

... programming and analysis skills using R, Stata, Python and/or SAS Experience working in academic or public health research settings, with contribution to scientific publications. Willingness and ...

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Afternoon Data Analyst R Programming information

See Newark, NJ salary details

$35.6K

$86.4K

$142.2K

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

As of Jun 13, 2026, the average yearly pay for afternoon data analyst r programming in Newark, NJ is $86,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 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 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 Newark, NJ? The most popular types of Data Analyst R Programming jobs in Newark, NJ are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Newark, NJ? For Afternoon Data Analyst R Programming jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Newark, NJ look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Afternoon Data Analyst R Programming jobs? Cities near Newark, NJ with the most Afternoon Data Analyst R Programming job openings:
Data Analyst

Data Analyst

Healthix

Manhattan, NY โ€ข On-site

$90K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

JOB TITLE: Data Analyst

REPORTS TO: Director of Data Strategy and Reporting

DEPARTMENT: IT

HOURS: 40 Hours

FLSA STATUS: Exempt

SALARY: $90k-125k

POSITION SUMMARY:

The Data Analyst provides the foundation for analytics, namely the collection, quality assurance and availability of data. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, SQL database design and multiple programming languages as well as communication skills to understand what data and analysis the healthcare analysts want to gain from Healthix data stores. They are responsible for the maintenance, improvement, cleansing and manipulation of data in the organizationโ€™s operational and analytics databases. The Data Analyst works with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination โ€“ data stores defined and implemented based on system requirements and data consumer requirements.

Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, is easily accessible and rapidly comprehensible for analysts/users; extract, transform, and load (ETL) processing; performing thorough testing and validation in order to support the accuracy of data transformations and data verification to ensure correctness and that data is generally reliable for downstream consumption; data bounds checking and database tuning.

The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models. They work collaboratively within the Data Strategy team, providing support for their data centric needs. The candidate has strong working and conceptual knowledge of database queries multidimensional query and index tuning, monitoring, disaster recovery, backup, automated testing, automated schema migration, and continuous deployment.

Requirements

Essential Duties and Responsibilities:

  • Enhance and streamline data and pipeline architecture to improve data flow and collection.
  • 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, systems, and products.
  • Refine or redesign Healthixโ€™s data architecture to enable nextโ€‘generation products and data capabilities.
  • Build and maintain scalable data pipelines and reporting solutions to support growing data volumes, performance and complex queries across Databricks, MS SQL Server, and Intersystems HealthShare.
  • Work with Data Strategy and Business teams to improve data models and increase data accessibility for business intelligence.
  • Implement monitoring processes to safeguard data quality, accuracy, and availability for key stakeholders.
  • Develop queries, support reporting needs, and tailor reporting solutions to enable dataโ€‘driven decisionโ€‘making.
  • Develop and execute unit and data validation tests while maintaining accurate documentation, perform data analysis to troubleshoot issues, support feasibility assessments, evaluate health outcomes, and resolve dataโ€‘related problems.
  • Provide general reporting and project support across the organization.
  • Ensure reporting meets standards for reliability, accuracy, completeness, and compliance.
  • Support the development, ETL processes, and maintenance of company data assets and data models, design data integrations and data quality frameworks.
  • Evaluate openโ€‘source and vendor dataโ€‘lineage tools and contribute to longโ€‘term data platform architecture planning across IT and Business teams.
  • Assist in developing an integrated data warehouse to provide a comprehensive healthcare dataset.

Supervisory Responsibilities:

  • This job has no supervisory responsibilities.

Qualifications:

  • 5+ years of experience in a Data Analyst role, with a graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field. IBM Certified Data Engineer or Google Certified Professional is preferred.
  • Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, Intersystems HealthShare, and Cache databases.
  • Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases.
  • Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements.
  • Experience in building and optimizing big data pipelines, architectures, and data sets.
  • Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities.
  • Experience in developing processes for data transformation, structures, metadata, dependency, and workload management.
  • Working knowledge of message queuing, stream processing, and scalable big data stores.
  • Proficient in big data tools such as Hadoop, Spark, and Kafka.
  • Experience with relational SQL and NoSQL databases.
  • Strong programming skills with languages like Python, Java, C++, and Scala.
  • Ability to architect end-to-end ETL pipelines.
  • Experience with AWS services and BI tools like Tableau.
  • Strong quantitative, analytical, process development, facilitation, and organizational skills.
  • Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders.

Benefits

SALARY: $90k-125k

Weโ€™re committed to supporting our team both professionally and personally. Our benefits include a flexible hybrid work environment, generous paid time off, comprehensive medical, dental, and vision coverage, a 401(k) with company match, commuter benefits, and additional perks designed to support your well-being.