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Afternoon Data Analyst R Programming Jobs in Manchester, NH

Microspec

Quality Engineer - On Site Only

Peterborough, NH · On-site

$74.10K - $95.80K/yr

Facilitate the MSA/Gage R&R workflow and perform analysis to reconcile, assess and mitigate ... Provide input and data-evidenced guidance to internal teams regarding inspection method alignment ...

Aig

Senior Manager, Data Engineering

Bedford, NH · On-site

Collaborate with data scientists, analysts, product managers, and business stakeholders to gather ... Promote engineering best practices, including DevOps, CI/CD, and governance standards across the ...

SynQor

Q&R Technical Assistant

Salem, NH · On-site

$45K - $55K/yr

Provide Support for SynQor's Documentation and Configuration Management Process * Assist Quality & Reliability Engineering with data analysis and report generation Requirements: The successful ...

SynQor

Q&R Technical Assistant

Salem, NH

$45K - $55K/yr

Provide Support for SynQor's Documentation and Configuration Management Process * Assist Quality & Reliability Engineering with data analysis and report generation Requirements: The successful ...

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$33.9K

$82.3K

$135.4K

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

As of May 31, 2026, the average yearly pay for afternoon data analyst r programming in Manchester, NH is $82,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,600.00 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 Manchester, NH? The most popular types of Data Analyst R Programming jobs in Manchester, NH are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Manchester, NH? For Afternoon Data Analyst R Programming jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Manchester, NH look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Manchester, NH are:
What cities near Manchester, NH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Manchester, NH with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Principal Data Engineer, Data Architecture

Principal Data Engineer, Data Architecture

Rockstar Games

Andover, MA • On-site

Full-time

Posted 10 days ago

Job description

At Rockstar Games, we create world-class entertainment experiences.
Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.
Rockstar is looking for a passionate Principal Data Engineer, Data Architecture to provide cross-team oversight and alignment as we continue to scale our data platform.
The ideal candidate will be skilled in bridging between data engineering and other partner teams, guiding the design and implementation of data pipelines and streaming systems while reinforcing best practices and engineering standards. The Principal Data Engineer, Data Architecture will partner closely with platform, data science, and other services teams to strength our engineering culture and ensure our data solutions are consistent, reliable and future-ready.
This is a full-time, in-office position based out of Rockstar's newly renovated game development studio in Andover, MA.
WHAT WE DO
  • The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making.
  • We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.
RESPONSIBILITIES
  • Architect and guide the implementation of real-time streaming and batch data pipelines in data platform. Assure platform architecture aligns with strategic business goals.
  • Act as a bridge between data engineering teams and the larger data organization, aligning technical solutions with strategic platform goals. Partner with platform engineers, data scientists, and analytics teams to enable reliable, high-quality data for downstream use cases.
  • Review and validate data engineering solutions designed by team members and partner teams to ensure scalability, reliability, cost efficiency, and compliance with enterprise standards.
  • Define and maintain best practices for data engineering across pipelines, streaming systems, and orchestration.
  • Evaluate emerging technologies, patterns, and frameworks in data engineering, proposing adoption where they bring measurable value.
REQUIREMENTS
  • 10+ years in software engineering, including 3+ years in an architect or principal-level role in data adjacent domain.
  • Ability to balance practical delivery with long-term architectural vision.
  • Excellent communication and influence skills, able to provide constructive feedback and drive alignment across teams without direct authority.
  • Strong software engineering background in data platforms or data platform adjacent applications.
  • Experience mentoring and guiding engineers, with a focus on code quality, testing, and best practices.
  • Proven track record designing real-time and batch data pipelines at enterprise scale.
  • Strong understanding of distributed data systems, data modeling, and data governance.
PLUSES
Please note that these are desirable skills and are not required to apply for the position.
  • Experience with Databricks and Azure.
  • Strong understanding of Data Governance, Data Privacy, and role-based access control.
  • Experience working in the video game industry.
  • Avid gamer with a passion for Rockstar Games titles.
ADDITIONAL INFORMATION
HOW TO APPLY
Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.
Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar's reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.
If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
The pay range for this position in Andover, Massachusetts at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.
Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.
NE Base Pay Range
$120,600-$178,500 USD

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