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Entry Level Python Data Analysis Jobs in Cumming, GA

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data. * Apply modern AI techniques, including LLMs and AI coding tools such ...

Optomi

Data Analyst

Atlanta, GA · On-site

Data Analyst| Remote Optomi, in partnership with a global leader in the retail industry, is seeking ... Experience with Python or other scripting languages. * Exposure to AI/ML concepts or tools.

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · On-site

$150 - $165/hr

The Role We Need PadSplit is growing its analytics platform and needs a hands‑on Data Engineer to ... They're comfortable in complex Python data flows and have enough AWS literacy to reason about task ...

Jobsultant Solutions

Data Analyst

Atlanta, GA

Industry experience in predictive modeling, data science and analysis. Knowledge of Machine ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

PadSplit, Inc

Data Engineer (Fully Remote)

Atlanta, GA · On-site

$150 - $165/hr

The Role We Need PadSplit is growing its analytics platform and needs a hands‑on Data Engineer to ... They're comfortable in complex Python data flows and have enough AWS literacy to reason about task ...

BlackRock

Associate, Data Engineer

Atlanta, GA · On-site

$130K - $148K/yr

Big data analytics platforms for scalable batch & stream processing; Azure Cosmos DB, AWS DynamoDB ... Hands-on development of enterprise backend applications and data pipelines in Java or Python; Data ...

BlackRock, Inc.

Associate, Data Engineer

Atlanta, GA · On-site

$130K - $148K/yr

Big data analytics platforms for scalable batch & stream processing; Azure Cosmos DB, AWS DynamoDB ... Hands-on development of enterprise backend applications and data pipelines in Java or Python; Data ...

PSRTEK

Data Analyst at Atlanta, GA

Atlanta, GA · On-site

Hands-on experience in data aggregation and analysis using Python, SQL or similar * Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is ...

Dlapiper

Data Engineer

Atlanta, GA

$110K - $132K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Strategic Mindz LLC

Data Reporting Analyst

Atlanta, GA · On-site

$90 - $120/hr

Python or R for data analysis, automation, or scripting * Experience with modern data stack tooling (dbt, Airflow, Fivetran) * Understanding of data governance, master data management, and data ...

Pwc

AI & GenAI Data Scientist - Manager

Atlanta, GA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pyramid Consulting

Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

Contract Responsibilities: · Work closely with RM Pricing Transformation Analytics team to ... Talend, Data Stage, SSIS, Pentaho, etc.) · Data Warehousing knowledge / experience (Dimensional ...

ApTask

Python Developer

Alpharetta, GA · On-site

$49 - $67.50/hr

Python Developer Data Protection Services What will you be doing? * You will onboard new and ... Data analytics, Java, Spring Boot, One of (ReactJS, AngularJS) * Orchestration: Docker, Kubernetes ...

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All JobsPython Data Analysis JobsEntry Level Python Data Analysis JobsEntry Level Python Data Analysis Jobs in Cumming, GA

Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level python data analysis in Cumming, GA is $29.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $32.79 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

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The most popular types of Python Data Analysis jobs in Cumming, GA are:

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Entry Level Python Data Analysis jobs near you
Infographic showing various Entry Level Python Data Analysis job openings in Cumming, GA as of June 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $61,096 per year, or $29.4 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA • On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 15 days ago

Key responsibilities

  • Build machine learning and AI solutions to support pricing, forecasting, and revenue management decisions in hospitality.

  • Analyze large datasets to identify patterns, risks, and opportunities, and develop practical recommendations or product capabilities.

  • Partner with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights.

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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