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Afternoon Data Analyst R Programming Jobs in Halethorpe, MD

T. Rowe Price

HR Data Analyst

Owings Mills, MD · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

GDIT

Data Analyst - TS/SCI with Polygraph

Annapolis Junction, MD · On-site

$96K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science and Data Engineering Job Qualifications: Skills: Data Analytics, Data Cleansing, Data Integration, Data Trends, Technology Refresh Certifications: None Experience: 10 + years of related ...

CYNET SYSTEMS

Healthcare Reporting Data Analyst

Baltimore, MD · On-site

$31.35 - $36.35/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Advanced Excel and data analysis skills. Ability to interpret and explain complex reports to non ... Occasionally works alongside Developers and the System Architects to use the requirements to design ...

CYNET SYSTEMS

Healthcare Reporting Data Analyst

Baltimore, MD · On-site

$31 - $36/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Advanced Excel and data analysis skills. * Ability to interpret and explain complex reports to non ... Occasionally works alongside Developers and the System Architects to use the requirements to design ...

AV, Inc.

Data Analyst with Security Clearance

Annapolis, MD · On-site

$130K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... Bachelor's degree in a technical field (Computer Science, Data Science, Mathematics, Engineering ...

Varsity Tutors

Data Science Tutor

Laurel, MD · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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

Afternoon Data Analyst R Programming information

See Halethorpe, MD salary details

$33.2K

$80.7K

$132.8K

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

As of Aug 15, 2026, the average yearly pay for afternoon data analyst r programming in Halethorpe, MD is $80,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 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?

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

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

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

Cities near Halethorpe, 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 Halethorpe, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,715 per year, or $38.8 per hour.

Multi-GNSS Data Analyst

Science Systems & Applications

Lanham, MD • On-site

$100K - $130K/yr

Full-time

Re-posted 11 days ago

Job description

Science Systems and Applications, Inc (SSAI) is seeking an experienced and skilled Multi-GNSS Data Analyst. The successful candidate will be responsible for processing, analyzing, and validating Multi-GNSS data in support of precision positioning, navigation, and timing (PNT) applications. This role requires deep technical expertise in GNSS measurement processing, error modeling, and geospatial data analysis, with a strong focus on delivering high-accuracy positioning solutions for scientific and engineering applications.

Key Responsibilities:

GNSS Data Processing & Analysis

  • Process raw Multi-GNSS observations using precise point positioning (PPP), Post-Processed Kinematic (PPK), reduced dynamic, differential, undifferenced, and relative positioning techniques
  • Perform static, kinematic, and reduced dynamic Multi-GNSS data processing for ground-based, spaceborne, and airborne platform precise positioning and clock solutions including GNSS space vehicles, ground stations, and LEO geodetic satellites
  • Perform Multi-GNSS data processing in support of Earth Orientation Parameter (EOP) and reference frame solutions
  • Application and improvement of corrections for tropospheric delay, ionospheric delay, multipath, and other systematic error sources
  • Conduct integer ambiguity resolution to achieve centimeter-level positioning accuracy

Quality Assessment & Validation

  • Assess Multi-GNSS solution quality using statistical metrics, residual analysis, and independent validation datasets
  • Identify and mitigate systematic errors, outliers, and data gaps in Multi-GNSS observations
  • Compare Multi-GNSS-derived positions against ground truth and independent reference datasets
  • Document data quality issues and develop strategies for improvement

Integration & Geolocation

  • Integrate GNSS and IMU/INS data for precise platform positioning and attitude determination
  • Support geolocation of remote sensing data including laser altimeter measurements

Software & Tool Development

  • Develop, maintain, and improve GNSS data processing scripts and workflows using PERL, Fortran, C, Python, and similar languages
  • Work with Multi-GNSS processing software such as GIPSY-OASIS, BERNESE, and GEODYN
  • Automate data processing pipelines to handle large volumes of Multi-GNSS observations efficiently
  • Contribute to the development of data processing documentation and standard operating procedures

Collaboration & Communication

  • Collaborate with multidisciplinary teams including scientists, engineers, and project managers
  • Present technical results and findings to both technical and non-technical audiences
  • Contribute to technical reports, peer-reviewed publications, and conference presentations
  • Participate in field campaigns and provide on-site GNSS data collection support as needed

Required Qualifications:

  • Bachelor’s (B.S.) degree in Aerospace Engineering, Geodesy, Geomatics, Electrical Engineering, Physics, Computer Science, or a related field.
  • Minimum 5 years of experience in GNSS data processing and analysis.
  • Strong understanding of GNSS measurement models, error sources, and correction techniques.
  • Proficiency in at least one GNSS processing software package (e.g., GIPSY, BERNESE).
  • Experience with kinematic GNSS processing for spaceborne and airborne or mobile platforms.
  • Proficiency in Python, MATLAB, or C++ for data analysis and automation.
  • Familiarity with geodetic reference frames, coordinate systems, and datum transformations.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • U.S. Citizenship or Permanent Residency required.

Desired Qualifications

  • Master's or Ph.D. in Geodesy, Geomatics, Navigation, Aerospace Engineering or a closely related field.
  • Experience with kinematic and reduced dynamic Precise Orbit Determination (POD) for spaceborne GNSS receivers.
  • Experience with precise positioning and clock solutions for GNSS space vehicles and ground stations.
  • Experience with Post-Processed Kinematic (PPK), Precise Point Positioning (PPP).
  • Experience with integer ambiguity resolution techniques.
  • Experience supporting airborne or spaceborne remote sensing missions.
  • Knowledge of satellite gravimetry and laser altimetry.
  • Familiarity with IMU/INS integration and tightly/loosely coupled GNSS/INS processing.
  • Active participation in the geodetic or GNSS research community (publications, conferences).


EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus