ZipRecruiter

Log In

1

Afternoon Data Analyst R Programming Jobs in Baltimore, MD

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

... Engineer, Data Analyst, or related technical role. * 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar). Preferred ...

MANTECH

Data Scientist

Fort George G Meade, MD

... Engineer, Data Analyst, or related technical role. * 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar). Preferred ...

T. Rowe Price

HR Data Analyst

Owings Mills, MD · Hybrid

The Analyst will gather data and analyze compensation trends in the external market, make ... Our commitment and inclusive programming aim to lift the experience for each associate and builds ...

MANTECH

Data Scientist

Fort George G Meade, MD · On-site

... Engineer, Data Analyst, or related technical role. * 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar). Preferred ...

Noblis

Data Analyst (Network Security)

Annapolis, MD · On-site

Collaborate with cybersecurity, network engineering, infrastructure, and program management teams ... Strong data analysis skills with the ability to assess large datasets for accuracy, completeness ...

New

previous page

Showing results 41-60

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Baltimore, MD

Afternoon Data Analyst R Programming information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

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

As of Sep 13, 2026, the average yearly pay for afternoon data analyst r programming in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 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 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 are the most commonly searched types of Data Analyst R Programming jobs in Baltimore, MD?

The most popular types of Data Analyst R Programming jobs in Baltimore, MD are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Baltimore, MD?

For Afternoon Data Analyst R Programming jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Baltimore, MD look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Baltimore, MD with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Baltimore, MD as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Principal Clinical Data Analyst

Columbia, MD • On-site

MedStar Health's Washington Hospital Center
See more jobs at MedStar Health's Washington Hospital Centerexternal

$114K - $219K/yr

Other

Re-posted yesterday

Job description

About the JobGeneral Summary of Position

We are recruiting for a Principal Clinical Data Analyst to join our team at MedStar Health. Ideal candidates will reside in or near the DC/MD/VA region as there will be in person meetings required a few times per year.

This position reports to the Director Analytics & Insights within the Quality Data Analytics Center of Excellence (CoE) team. The team's objective is to empower a high-performing healthcare system through intelligent data-driven improvement & innovation. The position is a fully experienced professional with specialization within the analytics field who assists in the harnessing of data to advance excellence in clinical quality. This position leads team members on the fulfillment of data needs via collection management analysis and delivery of relevant meaningful insights that drive timely well-informed decisions.

Primary Duties and Responsibilities
  • Develops advanced reports and dashboards using departmental templates and visualization tools.
  • Pioneers the adoption of more advanced analytic outputs and new visualization techniques and advanced programmatic visualizations. Evaluates and introduces new scripting/querying tools to the department.
  • Collaborates with the team to deliver relevant meaningful insights that drive timely well-informed decisions. Serves as facilitator or co-lead.
  • Collaborates with the team to uphold rigorous data quality governance and clarity so stakeholders can confidently rely on insights.
  • Engages with clinicians and operational partners to co-create solutions that inform actions and build data confidence.
  • Contributes to department productivity through teamwork professionalism and initiative. perform structured work assignments
  • Independently develops analytics approaches and methodology standards for others to follow. Consults with management to determine project objectives with long-term implications.
  • Provides guidance to less experienced colleagues
  • Facilitates or leads broad dialogue often across teams or departments on difficult complex or sensitive matters. Persuades others to consider various options and drives matter to conclusion.
  • Leads highly complex projects of large scope; projects may be cross-functional; provides solutions which set precedent.
  • Actively advises on department strategy and vision. Influences strategy by translating highly complex data concepts into actionable business plans and analytic outputs.
  • Recognized enterprise expert in clinical informatics data models. Designs descriptive and diagnostic analytic solutions that bridge complex clinical workflows with precise data capture.
Minimal QualificationsEducation
  • Bachelor's degree in related field required
  • Master's degree in related field preferred
  • One year of relevant education may be substituted for one year of required work experience.
Experience
  • 8-10 years relevant experience required
  • Experience recommending data insights and business process improvement opportunities required
  • 12 years relevant experience preferred
  • One year of relevant professional-level work experience may be substituted for one year of required education.
Knowledge Skills and Abilities
  • Demonstrates expert-level use as a primary developer of current visualization tools (e.g. Excel Tableau Power BI) and standard templates.
  • Demonstrates expert-level use of analytic approaches & methods (e.g. measures of central tendency variance standard deviation etc.).
  • Demonstrates expert-level use as a developer of current analytic tools (e.g. Excel SQL Python).
  • Architect-level understanding of cross-domain clinical data. Leads the strategic alignment of historical EHR data concepts.
  • Ability to identify analyze and interpret trends or patterns in data sets.
  • Has expertise in testing and quality assurance methods.
  • Possesses excellent attention to detail and accuracy.
  • Ability to work collaboratively with a multidisciplinary team; may serve as primary data/analytic team member or representative
  • Strong organizational and time management skills.
  • Ability to communicate complex information to technical & non-technical audiences with ease
  • Ability to identify problems and propose seek and facilitate resolution.
  • Demonstrated combination of practitioner and expert level skills.
  • Expert in more than 1 business area/domain with experience leading product prioritization development and communication efforts.
  • Experience recommending data insights and business process improvement opportunities.
  • Demonstrated competence in foreseeing business needs and acting on own accord.
  • Ability to excel and exceed business expectations autonomously, leading and executing with limited direction in complex domain-crossing projects.
This position has a hiring range of

USD $114,004.00 - USD $219,960.00 /Yr.

#J-18808-Ljbffr

Apply