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Afternoon Data Analyst R Programming Jobs in Santa Fe, NM

Cytel

Principal Biostatistician FSP

Santa Fe, NM

You will formulate integrated analytical approach to mine data sources, employ statistical methods ... Knowledge of R programming (R Shiny/Python). Cytel Inc. is an Equal Employment / Affirmative Action ...

Cytel

Principal Biostatistician FSP

Santa Fe, NM

You will formulate integrated analytical approach to mine data sources, employ statistical methods ... Knowledge of R programming (R Shiny/Python). Cytel Inc. is an Equal Employment / Affirmative Action ...

Workiva

Spring 2027 Intern - Data Analytics

Santa Fe, NM · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

Spring 2027 Intern - Data Analytics

Santa Fe, NM · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Danaher

Digital Analyst Internships

Santa Fe, NM

$96K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Santa Fe, NM · On-site

$96K - $114K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Santa Fe, NM · On-site

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.

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Afternoon Data Analyst R Programming information

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$33.4K

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

As of Sep 9, 2026, the average yearly pay for afternoon data analyst r programming in Santa Fe, NM is $81,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Santa Fe, NM look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Santa Fe, NM are:

What cities near Santa Fe, NM are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Santa Fe, NM with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you

Principal Biostatistician FSP

Santa Fe, NM

Cytel
See more jobs at Cytelexternal

Full-time

Posted 10 days ago

Job description

Who Are You?

An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is, but always push clinical development forward to what it could be. You motivate others to do the same.

Sponsor-dedicated:

Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.

Position Overview:

Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use.

As a Principal Biostatistician, your responsibilities will include:

  • Lead statistical activities for assigned Clinical Trials (Phases 1 to 4) independently from protocol design to reporting of results.
  • Represent Statistics function on cross-functional trial (and possibly indication / project) teams and collaborate effectively with all cross-functional stakeholders.
  • Oversight of internal programming activities and/or CRO contributions on assigned clinical trials and other activities.
  • Contribute to or lead other activities from a statistical perspective as appropriate, including but not limited to Safety Reporting, ISS/ISE, addressing questions from Health Authorities, Publications.
  • Use SAS and/or R for purposes like QC of datasets and deliverables, inferential statistical analyses, modelling/simulation, exploratory analyses etc.
  • Contribute to and participate in other initiatives at Cytel or sponsor side as appropriate.
  • Oversight of more junior Statisticians as required.
  • Seeking an independent study level lead who
  • has a clear technical understanding of how to analyze clinical trial data properly (ICH E9 guideline)
  • experiences of representing biostats function to collaborate with stakeholders cross functionally
  • is equipped with strong communication skills
  • has a strong self-learning willingness to perform their own duties with minimum guidance.

Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:

  • Minimum of Bachelor's degree in statistics or a related discipline.
  • 9+ years supporting clinical trials in the Pharmaceutical or Biotechnology industry.
  • Ability to work independently, demonstrate initiative and flexibility through effective and innovative leadership.
  • Attention to detail and quality focused, excellent interpersonal and communication skills, innovative, and collaborative behaviours
  • SAS programming skills for QCing critical outputs, Efficacy/Safety tables, and working closely with Programmers.
  • Knowledge of R programming (R Shiny/Python).

Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

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