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Afternoon Data Analyst R Programming Jobs in Stone Mountain, GA

Emory Healthcare

Data Analyst II

Atlanta, GA

$32.16 - $39.95/hr

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... least one programming language (e.g. R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... least one programming language (e.g. R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor ...

Lorven Technologies

Data Analyst

Atlanta, GA · On-site

Data Analyst Location: Atlanta, GA - Onsite Contract job Data Analyst - Job Requirements Core ... Ability to collaborate with business, data engineering, and product teams. * Strong problem-solving ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

And more Description * The Data Analyst II is responsible for designing and disseminating ... at least one programming language (e.g. R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS:

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

And more Description * The Data Analyst II is responsible for designing and disseminating ... at least one programming language (e.g. R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS:

Emory Healthcare

Data Analyst II

Atlanta, GA

And more Description * The Data Analyst II is responsible for designing and disseminating ... at least one programming language (e.g. R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS:

ATLANTA MISSION

Data Analyst

Atlanta, GA · On-site

The Data Analyst is crucial in empowering Atlanta Mission's strategic decisions and designs across ... Familiarity with statistical analysis concepts; experience with Python or R is a plus.

Navtech, Inc.

Data Analyst

Alpharetta, GA · On-site

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Has experience building data mappings and data dictionaries for engineering consumption * For soft ...

Fisher & Phillips LLP

Data Analyst II

Atlanta, GA · On-site

$31.65 - $52.75/hr

The ideal Data Analyst II candidate will bring a high level of expertise in assisting clients and ... Experience with R, Python, and/or VBA preferred. * Familiarity with Employment Law is preferred.

CharterUP

Data Analyst

Atlanta, GA

$70K - $75K/yr

Mathematics, Applied Mathematics, Statistics, Quantitative Economics, Data Science, Quantitative Finance, Computational Finance, or Finance Engineering * 1+ years industry experience as Data Analyst

Navtech, Inc.

Data Analyst

Alpharetta, GA · On-site

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Has experience building data mappings and data dictionaries for engineering consumption * For soft ...

4pconsultinginc

Data Analyst II

Forest Park, GA · On-site

Forest Park, GA Contract- 15 Months Client- Southern Company Services Position Overview The Data Analyst II supports TSS Engineering by developing and maintaining data-driven tools, dashboards, and ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

Experience with SQL Strong programming skills in Python or Java Excellent problem-solving and ... Experience with Neo4j data analysis. Experience with both SQL and graph databases. Strong ...

Salesforce

DATA ANALYST/BI ENGINEER

Atlanta, GA · On-site

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta, GA - Hybrid (3 days/week on-site) Required Skills: Strong SQL, Databricks ( or Snowflake ...

Salesforce

DATA ANALYST/BI ENGINEER

Atlanta, GA · On-site

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta, GA - Hybrid (3 days/week on-site) Required Skills: Strong SQL, Databricks ( or Snowflake ...

Further

Data Science Analyst

Atlanta, GA · On-site

... with engineers to ensure data accuracy and data pipelines are quality-checked before being ... R and/or Python for data manipulation and statistical analysis. • Deep understanding of ...

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Showing results 21-40

All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Stone Mountain, GA

Afternoon Data Analyst R Programming information

See Stone Mountain, GA salary details

$30.8K

$74.8K

$123K

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

As of Aug 19, 2026, the average yearly pay for afternoon data analyst r programming in Stone Mountain, GA is $74,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $87,800.00 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Stone Mountain, GA?

For Afternoon Data Analyst R Programming jobs in Stone Mountain, GA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Stone Mountain, GA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Stone Mountain, GA are:

What cities near Stone Mountain, GA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Stone Mountain, GA 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 Stone Mountain, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,761 per year, or $35.9 per hour.

Civic Data Analyst (Sustainable Mobility)

Trilon

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Alta Planning + Design seeks a Civic Data Analyst (Sustainable Mobility) for our Atlanta office. This position is a great opportunity for someone who believes in the importance of active, multimodal, and sustainable transportation and who is interested in growing their career as a professional working at the intersection of civic data and sustainability. If you are looking to join an innovative organization and do work that connects people to places while advancing social justice, safety, and environmental resilience, apply with Alta today!
About Alta

Alta is a mission-driven company working to mitigate climate change and advance safety and social justice by shaping sustainable, people-centered communities. We bring together expertise across planning, design, engineering, education and encouragement programs, and community engagement to help communities thrive. Our work is grounded in the belief that how places are designed and experienced has a profound impact on equity, health, and opportunity-and that people should always be at the heart of those decisions.

Founded in 1996, Alta was at the forefront of the active transportation movement and has spent nearly 30 years partnering with communities to imagine a more connected, resilient, and inclusive future. Today, with more than 225 staff across the United States and beyond, we are a global leader in creating environments that support everyday life, strengthen human connection, and respond to the challenges of a changing world. Alta offers the opportunity to collaborate across disciplines, contribute to meaningful work at every scale, and be part of a team committed to making lasting, positive change for people and the places they call home.
Serve as a technical expert and analyst across various disciplines, project types, and regions. Develop prototypes of repeatable analysis in R, Python, and GIS to advance place-based sustainable transportation solutions. Over time, foster an entrepreneurial approach to analysis through staff training, research, tool development, and custom web applications.
Engage across Alta's disciplines to understand data analytics needs, priorities, and expectations, fostering a data-informed decision-making culture. Lead the development of new analytical products that align with the firm's objectives and the multidisciplinary nature of the practice. Collaborate closely with planners, designers, and engineers in tasks related to data analysis and visualization, ensuring the developed solutions bring valuable mobility insights and can scale organization wide.
Delve into data analysis and visualization components of client projects and R&D efforts, employing complex methodologies. Address mobility and access challenges through innovative analytical solutions, and articulate data-driven narratives effectively through reports, technical memos, and presentations. Be proactive in identifying labor-intensive processes and analysis, exploring avenues to streamline and automate them to create organization-wide value Work on a range of projects including active transportation plans, safety action plans, complete streets planning, safe routes to school, new mobility plans, and economic benefit studies. Each day, you will keep a community-focused perspective by pushing forward solutions that help communities inform narratives about people, address multifaceted community goals, prepare communities for change, and build a more just transportation system.
Required

This position requires a combination of skills, experience and education including, but not limited to
  • Bachelor's Degree in Statistics, Mathematics, Computer Science or another quantitative field with demonstrated experience in the transportation planning field, OR a Bachelor's Degree in Planning, Landscape Architecture, Environmental Sciences, or Engineering with some experience in the software development and/or data science fields.
  • Proficiency in Python and/or R, SQL
  • Proficiency in Quantitative Analysis: A solid background in data analysis, cross tabulation, and data interpretation is essential. Candidates should be able to apply data driven techniques to inform evidence-based decision-making in planning and design contexts.
  • Strong understanding of databases, GIS, coding, and familiarity with transportation planning at an advanced level.
  • GIS Proficiency - both open-source (PostGIS, QGIS, geopandas, etc.) and the ESRI suite (ArcGISPro, Spatial Analyst, Network Analyst, etc.).
  • Ability to create informative data visualizations through code (e.g. D3, ggplot, matplotlib, plotly, kepler.gl, etc.).
  • Experience designing, implementing, and documenting analytical solutions using code. Ability to execute an analysis entirely with code.
  • Data specifications & database acronyms like OSM, MDS, GTFS, GBFS, GPS, CDS don't scare you.
  • Proficient in MS Excel, Word, PowerPoint, similar products.
  • Strong written and verbal communication skills.
Preferred
There are a number of additional skills, experience, and education that would be beneficial to this position including, but not limited to:
  • Master's Degree in Urban Planning, Statistics, Data Science, Engineering, Math, or Social Sciences
  • 1+ years of experience in a consulting environment or public entity. You have experience working on responses to public sector requests for proposals.
  • AICP Certification.
  • Experience using Deltek VantagePoint.
  • Active participation in industry-relevant professional associations and committees.
  • Demonstrated work of applied statistics or machine learning techniques to transportation challenges.
  • Basic familiarity with deploying analytical solutions over the web with the use of Flask, Django, Fast-API, Tableau, PowerBI, ArcGIS Enterprise, or R-Shiny.
Flexible Schedule
Alta offers a flexible, hybrid work schedule where most employees work from home three days per week. In-office days support our collaborative culture, one of our core values.
Compensation
The pay range for this job in Atlanta is $65,000-$76,000 annually. Placement within the range is based upon experience, skill-sets, and qualifications.
Benefits
Alta offers comprehensive benefits to all full-time employees:
  • Medical: PPO or HSA medical plans, Alta pays 75% of the cost
  • Dental/Vision: PPO, Alta pays 90% of the cost
  • Life Insurance: Alta pays 100% of the premium for life and AD&D, equal to your base compensation
  • 401(k): Alta provides a match up to 3%
  • PTO: 21 days accrued annually to start
  • Holidays: 11 total company paid holidays
  • Paid Parental Leave/Short-Term Disability 
  • Additional Benefits: Wellness reimbursement up to $800 annually, Alta Gets Around benefit of up to $900 annually, 5-year travel award, and professional development opportunities

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